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I Tried DesignGurus for System Design Interview: Is It Really Worth it in 2026?

2026-05-30T02:33:02.107-07:00

Hello guys, as tech interviews get tougher, many aspiring engineers look beyond LeetCode and books for structured, pattern-driven prep. If you are one of them and looking for best coding interview resources then you have come to the right place. Earlier, I have shared best coding interview courses and books and now I will explain why DesignGurus.io is a great place to prepare for coding interviews in 2026. If you don't know, DesignGurus.io—the platform behind the now-famous Grokking series of courses. But in 2026, with so many options, is it still worth your time and money?

Let's explore what DesignGurus offers, how it stacks up, and who will benefit most from it.

I Tried Both Udemy and Educative? Here is My Honest Review

2026-05-29T06:17:58.041-07:00

Hello guys, if you are wondering the difference between Udemy and Educative and whether you should take Udemy courses or join the Educative platform to learn new tech skills, you have come to the right place. Earlier, I have shared a comparison between Pluralsight and Udemy as well as CodeCademy vs Pluralsight in this article, I will compare Udemy with Educative, a new text-based, interactive learning platform. While I have often said that Udemy is my favorite platform because you can get high-quality and comprehensive courses from top instructors for just $9.9, which is phenomenal.

I Tried Codemia for System Design Interview Preparation and Its Awesome

2026-05-28T08:11:32.857-07:00

credit- Codemia.io

Preparing for a system design interview can be one of the most challenging aspects of landing a software engineering job at a top tech company.

Whether you’re aspiring to join FAANG or any other industry leader, the ability to design scalable, efficient, and maintainable systems is a skill that separates great engineers from good ones.

Enter Codemia.io — a platform dedicated to preparing candidates for success in system design interviews. Codemia.io is like the LeetCode for System deisgn and object oriented design.

For so long, there was not a platform where you can practice System design problems, get feedback, submit solution and also have a guide which can help you when you get stuck.

Codemia.io fills that gap. It’s an AI powered platform with the biggest collection of System design problems and a free System Design course to teach you everything you need to prepare for System design interview.

What separates Codemia.io from others is the expert solution and clever use of AI, which can not only assist you when you get stuck but also grade your solution and give tips to improve it.

They have now also expanded the platform to include OOP Design problems like how to design Vending Machine or How to design Parking Lot, which is equally important for anyone preparing for FAANG or MAAANG interviews.

if you want to join Codemia.io to level up your System design skills, now is the best time as they are offering 30% discount now and you can get access for just $60 for one year, original price is $99 so you have a chance to save$30 and also learn System design better.

Master System Design Interviews Through Active Practice

Passively learning system design does not work. Now you can practice system design problems like the way you practice…

codemia.io

In this article, we will explore why system design interviews matter, the challenges they pose, and how Codemia.io can become your ultimate partner to crack these interviews in 2026.

Why System Design Interviews Matter?

System design interviews evaluate your ability to solve real-world engineering problems. These interviews test various dimensions of your technical expertise, including:

Scalability: Can your system handle millions or even billions of users?
Performance: Is your solution efficient in terms of latency and throughput?
Reliability: Can your design ensure minimal downtime?
Maintainability: Will your system remain easy to update and debug over time?
Communication: Can you articulate your design ideas effectively to your interviewer?

Companies, both large and small, value these skills because they reflect how you’ll approach designing the architecture for large-scale, complex systems in real-life scenarios.

If you ace your system design interview, it’s a strong indicator that you can thrive in a challenging engineering environment.

Though, its not easy and you need to prepare hard to crack System design round, though, resources like Codemia.io help as they give you real questions and also provide framework to answer any system design question.

Their editorial solution is also a great example on how to structure your answer or solution on interview. For example, you can see this expert solution of Twitter System Design to get some ideas.

Why Cracking System Design Interview is Challenging in 2026?

Despite their importance, system design interviews are notoriously hard to prepare for, even for senior developers who have created multiple applications or supported real world applications in production.

Here’s why:

Broad Scope: System design problems span a wide range of topics, including databases, caching, distributed systems, networking, and more.
Open-Ended Questions: Unlike coding questions with a definitive solution, system design questions are often ambiguous, requiring you to define the scope and make trade-offs.
Lack of Resources: While there are many platforms for coding interview prep, resources for system design are relatively scarce.
Time Pressure: You’re expected to design complex systems within a limited timeframe, often leaving no room for hesitation.
Interviewer Expectations: Understanding what the interviewer is looking for — such as clarity, creativity, and knowledge of system design trade-offs — can be tricky. Though, you can check my following article where I have shared 15 essential software design tradeoffs which every developer should be aware of.

15 System Design Tradeoffs Every Senior Developer Must Know

From Scalability to Performance, Stateful to Stateless, and SQL to NoSQL these are 15 tradeoff which every developer…

medium.com

How Codemia.io Helps You Ace System Design Interviews?

Codemia.io is a specialized platform designed to tackle these challenges head-on. Let’s delve into the features that make Codemia.io the ultimate resource for system design interview preparation.

1. Free System Design Course

Codemia.io offers a free course to learn system design called Tackling System Design Interview Problems. This System design course covers all essential topics, such as:

Distributed systems and microservices architecture
Database design and sharding
Caching strategies and content delivery networks (CDNs)
Load balancing and scaling strategies
High Level Design and Low Level design

The course is a great way to start your System Design Interview Preparation. Most importantly its free.

Here is the link to join — Tackling System Design Interview Problems

2. Biggest Library of System Design Problems

Theory alone isn’t enough for mastering system design. Codemia.io has biggest collection of System design problems which you can practice online.

They are divided into beginner, intermediate, and advanced level so that you can improve your System design skill bit by bit. They also comes with expert solution which you can refer to find gaps in your solution.

Here are free System Design problems you can checkout on Codemia.io

These System design problems simulate real-world scenarios, helping you gain practical experience while solidifying your theoretical knowledge. You can also sort problems based upon the company you are preparing

Here is the full list of System Design problems

3. Interactive Learning

Codemia.io provides an interactive learning experience. You can write down your solutions, receive AI-driven feedback, and iterate on your designs.

This active learning approach helps you retain information better and understand concepts more deeply.

It also help you to learn System design by yourself as this is one of the topic which require discussion but with Chatbot and AI feedback you can discuss with AI and learn better.

In short, one of the best website to learn System designs for solo learners.

4. Visual Tools for Diagramming

A key aspect of system design interviews is presenting your solution visually. Codemia.io offers an integrated diagramming tool that lets you create:

Data flow diagrams
Component-level architectures
Sequence diagrams

This feature ensures that your solutions are not only sound but also visually compelling. Since drawing is quite important on explaining System Design, this tool help you to improve your system design and explanation skills.

You can also try this tool for free when you solve any free question on Codemia.io like How to Design TicketMaster?

5. System Design RoadMap

They also provide a System design roadmap where you can select any topic to explore a curated list of system design problems.

You can follow the roadmap to tackle progressively more challenging problems and advance your skills step by step.

6. AI-Driven Feedback

One of the standout features of Codemia.io is its AI-driven real timefeedback. After submitting your solution, you receive detailed feedback on various aspects of your design, such as scalability, fault tolerance, and efficiency.

This feature allows you to identify strengths and areas for improvement, ensuring a well-rounded preparation.

In fact, that’s where you learn better and more.

4 Key Benefits of Preparing with Codemia.io

Now that you know what is Codemia.io and how it can help you to prepare for System design interview, Here are few key benefits of using Codemia.io for FAANG interview preparation

1. Time Efficiency

Instead of piecing together resources from various books and websites, Codemia.io consolidates everything into a single, comprehensive platform. This saves you hours of prep time.

2. Industry-Relevant Content

Codemia.io’s curriculum is designed by engineers who’ve worked at top companies. This ensures that the content is relevant and aligned with what today’s interviewers are looking for.

3. Flexibility

Whether you’re a working professional or a student, Codemia.io’s self-paced courses fit into your schedule. Additionally, the platform’s mobile-friendly design lets you learn on the go.

4. Affordable Pricing

Compared to hiring a private tutor or attending costly bootcamps, Codemia.io offers a cost-effective solution without compromising on quality.

They are also offering 30% discount now and you can get access for just $60 for one year, original price is $99 so you have a chance to save$30 and also learn System design better.

Master System Design Interviews Through Active Practice

Passively learning system design does not work. Now you can practice system design problems like the way you practice…

codemia.io

How to Get Started with Codemia.io

Here’s how you can start your system design journey with Codemia.io:

Sign Up: Create an account on Codemia.io.
Choose Your Learning Path: Select from beginner, intermediate, or advanced tracks based on your skill level.
Choose Company : Use the platform’s filter company feature to target specific companies.
Practice, Practice, Practice: Engage in projects, mock interviews, and quizzes to reinforce your learning.
Review and Reflect: Use progress tracking to assess your readiness.

Success Stories from Codemia.io Learners

Thousands of engineers have transformed their careers with Codemia.io. Here are a few testimonials:

Maho P. — Senior software engineer at Microsoft: “Codemia makes studying system design so engaging! The interactive practice sessions and the chatbot are fantastic. I’ve learned more in a few weeks than I did in months of traditional study.”
Jayson Z. — Software engineer at Google: “I was struggling with system design interviews until I found Codemia. The detailed solutions and instant feedback from AI have been invaluable. This app is a must-have for anyone preparing for technical interviews.”
David Z. — Senior software engineer at Linkedin: “Codemia has been a game-changer for me! The AI-guided system design practice sessions have not only improved my skills but also boosted my confidence. I can’t thank Codemia enough for helping me ace my system design interviews.”

You can read more reviews here

Final Thoughts

System design interviews are a critical milestone in any software engineer’s career. With the increasing demand for scalable and efficient systems, mastering system design is no longer optional.

Codemia.io provides everything you need to excel in these interviews — structured learning paths, practical projects, expert-led mock interviews, and more.

Whether you’re aiming for your first job or transitioning to a senior role, Codemia.io can equip you with the skills and confidence to succeed.

Don’t leave your career to chance. Start your system design journey today with Codemia.io and secure your place among the best in the industry.

👉 Join Codemia.io today and take the first step towards acing your system design interviews and landing your dream job in tech.

Other System Design Articles and Resources you may like

Thanks for reading this article so far. If you like this article then please share with your friends and colleagues. If you have any questions feel free to ask in comments.

P. S. — They are also offering 30% discount now and you can get access for just $60 for one year, original price is $99 so you have a chance to save$30 and also learn System design better.

Master System Design Interviews Through Active Practice

Passively learning system design does not work. Now you can practice system design problems like the way you practice…

codemia.io

I Tried 50+ Coursera Certifications : Here Are My Top 5 Recommendations for 2026

2026-05-26T07:15:48.051-07:00

Hello guys, if you’ve been thinking about upskilling in key areas like data science, cybersecurity, project management, or Python programming, this is the perfect opportunity to unlock unlimited access to thousands of Coursera courses, certifications, and specializations.

Choosing the right certification is the first step toward a successful career, and Coursera Plus makes it easier by offering access to hundreds of top-notch programs.

For example, if you’re looking to break into data analytics, the Google Data Analytics Certificate is a great starting point, leading to roles such as Data Analyst or Business Intelligence Analyst.

Google Data Analytics

Offered by Google. Get on the fast track to a career in Data Analytics. In this certificate program, you'll learn…

coursera.pxf.io

If cybersecurity interests you, the Google Cybersecurity Analyst Professional Certificate provides a strong foundation for roles like Security Analyst or Threat Intelligence Specialist.

Google Cybersecurity

Offered by Google. Get on the fast track to a career in cybersecurity. In this certificate program, you'll learn…

coursera.pxf.io

If you want to become a UI/UX design then the Google UX Design Professional Certificate is where you will learn what it take to become a success UI/UX designer in 2026.

Google UX Design

Offered by Google. Get on the fast track to a career in UX design. In this certificate program, you'll learn in-demand…

coursera.pxf.io

And, if you want to break into IT support then Google’s IT Support Professional certification will give you all the necessary skills you need to become a successful Support Analyst.

Google IT Support

Offered by Google. Get on the fast track to a career in IT. In this certificate program, you'll learn in-demand skills…

coursera.pxf.io

To help you navigate these options, we recommend starting with beginner-friendly courses, working on small projects to apply your knowledge, and gradually pursuing advanced certifications.

Coursera’s real-world projects and career tools also enable you to build an impressive portfolio, making your profile stand out to potential employers.

Additionally, combining these certifications with complementary learning resources can accelerate your growth.

For instance, practice coding on platforms like LeetCode, refine your data skills on Kaggle, or explore project management frameworks through Scrum guides.

Why Join Coursera for Learning Tech Skills in 2026?

There are many reasons why I like Coursera.org and why I recommend Coursera but the most important reason is it provide a chance to learn from experts from world class universities like Stamford, Yell as well as from top companies like Google, Amazon, Meta, Microsoft, IBM etc.

There is no way you can get access to those people unless you are working on those big tech companies but with Coursera, you now have access to this great people and their experience.

Coursera’s flexibility and affordability also make it a strong alternative to traditional education, especially when paired with a solid study schedule and a clear career roadmap.

And for non-tech professionals aspiring to transition into tech roles, certifications like Google IT Support or project management courses can provide a solid starting point.

Finally, don’t forget to leverage your certifications on platforms like LinkedIn and GitHub, showcasing your achievements and projects to attract the right opportunities.

Coursera Plus gives you unlimited access to over 10,000 courses and professional certificates from top universities and companies like Google, Microsoft, and IBM.

Here’s why it’s worth considering:

One Subscription, Unlimited Learning: Access multiple courses without worrying about individual fees.
Industry-Recognized Certifications: Gain certifications that boost your career prospects.
Learn from Experts: Courses are created by leading academics and industry professionals.
Flexibility: Learn at your own pace, on your schedule.
Cost-Effective: With this $200 discount, you can access premium content for just $199 a year, less than $17 per month.

Here is the link to join Coursera Plus — Coursera Plus

I Tried 50+ Coursera Certifications : Here Are My Top 5 Recommendations for 2026

With Coursera Plus, you can access some of the most sought-after certifications to help you enter or advance in high-demand fields. In fact, it gives access to more than 10,000 courses, certifications and projects but obviously you cannot complete that much

Here are a few standout options:

1. Google Data Analytics Certificate

Why It’s Great: Covers data cleaning, analysis, visualization, and communication using tools like SQL and Tableau.
Perfect For: Aspiring data analysts or professionals transitioning into data-driven roles.
Career Opportunities: Data Analyst, Business Analyst.

2. Google IT Support Certificate

Why It’s Great: Teaches IT fundamentals, troubleshooting, networking, and security.
Perfect For: Beginners aiming for a career in IT support.
Career Opportunities: IT Specialist, Systems Administrator.

Press enter or click to view image in full size

3. Microsoft Cybersecurity Analyst Professional Certificate

Why It’s Great: Learn essential skills to detect, prevent, and respond to cyber threats.
Perfect For: Anyone interested in cybersecurity.
Career Opportunities: Cybersecurity Analyst, Information Security Specialist.

4. Project Management Certificate by Google

Why It’s Great: A comprehensive course on planning, executing, and managing projects effectively.
Perfect For: Professionals looking to step into project management.
Career Opportunities: Project Manager, Program Manager.

5. Python for Everybody Specialization

Why It’s Great: A beginner-friendly introduction to Python programming.
Perfect For: Aspiring developers, data scientists, or AI enthusiasts.
Career Opportunities: Software Developer, Data Scientist, Machine Learning Engineer.

And, the best thing is that you don’t need to join them individually you can get them and many more with just one single subscription, Coursera Plus and with $200 OFF.

Its basically the cost of just 3 certification if you buy them individually. Though, you should hurry up because its a limited time offer and will expire soon.

Here is the link to join Coursera Plus— Coursera Plus

How to Make the Most of Coursera Plus in 2026?

This is very important if you really want to see the change you want to see in 2026. Just subscribing to Coursera Plus magically will not do anything unless you take action and make most of it.

To be honest nowadays, its easy to get subscription, gone are the days where money was a limiting factor and like I have to wait months and months to buy a book.

Now, the problem is not money but the motivation and time but since you are taking Coursera Plus subscription, I bet you do have motivation.

Set Clear Goals: Decide what skill or certification you want to achieve this year.
Create a Learning Plan: Allocate a few hours a week to study.
Combine Certifications: Use Coursera Plus to pursue multiple certifications at no extra cost.
Apply Your Knowledge: Work on projects to reinforce your learning and build your portfolio.

If you are spending money, try to make full use of it by taking the courses I have recommended and following the tips I have given in this article. If you got any question, you can always ask in comments. I would be glad to help you.

Who Should Grab This Deal?

This is a great deal for anyone who want to learn tech skills and don’t want hassle of buying multiple courses. But this Coursera Plus offer is particularly useful for:

Students: Want to upskill for better internship and job opportunities.
Professionals: Looking to transition into high-paying, in-demand tech roles.
Lifelong Learners: Interested in exploring various fields without breaking the bank.

I highly recommend Coursera Plus subscription to professionals because its our job to keep ourself up-to-date otherwise you will become outdated and it will be tough to survive in this tough market.

While I have Coursera Plus subscription for many years and its even fully worth it for its original price of $399 per year, with $200 it become a no brainer for anyone to get this deal.

If you always wanted to join Coursera Plus but couldn’t join because of cost this is your chance, but hurry up as this is a limited time offer and its expiring soon.

Final Thoughts

That’s all about the 5 Best Coursera certifications you can do in 2026. Whether you’re starting a new career, aiming for a promotion, or simply expanding your knowledge, Coursera Plus provides the certifications and resources to help you achieve your goals.

Don’t miss this incredible opportunity to learn from the best and transform your career in 2026.

👉 Sign up for Coursera Plus Annual Now and take the first step toward a brighter future!

Coursera Plus | Unlimited Access to 10,000+ Online Courses

Invest in your professional goals with Coursera Plus. Get Unlimited access to over 90% of courses, Projects…

imp.i384100.net

I Found LeetCode for Software Design Interview and Its Awesome

2026-05-24T08:16:54.799-07:00

credit- codemia.io

Hello guys, If you’re preparing for FAANG interviews, then you already know that Data Structures & Algorithms (DSA) and System Design are two key areas where you will be tested rigorously.

While LeetCode is the go-to platform for DSA, system design has always been a challenge — until now.

I recently found Codemia.io, and I must say, it feels like the LeetCode for System Design.

If you’ve struggled with structuring your system design answers, getting real feedback, or knowing whether your approach is correct, Codemia.io is a game-changer.

They not just have the biggest collection of System Design and OOP Design problem for practice they also have a free System deign course called Tackling System Design Interview Problems, which is a great free resource to learn essential System Design concepts.

It’s a short course with 2 hour of content but powerful and also have quizzes to test your skills. Here are all the key System deign topics you can learn on this free course:

Now, let’s checkout how Codemia.io can help you to prepare better for your System design and OOP Design interview and why I think its like LeetCode for Software design.

Why Software Design Needs a Platform Like Codemia.io?

Most system design resources today are long, text-heavy articles or expensive courses. The problem?

No hands-on practice — Reading about system design isn’t enough; you need to actively design solutions.
No structured progression — Unlike DSA, where problems are categorized by difficulty, system design prep often feels random and overwhelming.
No evaluation or expert feedback — You don’t just need an answer; you need to know why one design is better than another.

This is where Codemia.io changes the game.

What Makes Codemia.io Special?

Instead of just giving you theory-heavy content, Codemia.io provides an interactive, structured, and guided approach to system design. Here’s what I loved:

1. Real-World System Design Problems

Codemia.io has over 120+ system design problems, each with a structured approach similar to how LeetCode presents DSA problems.

For example, consider the classic “Design a URL Shortening Service” problem.

You start with:
✅ Functional and Non-Functional Requirements
✅ Capacity Estimation
✅ Database Schema and API Design
✅ High-Level & Low-Level Design

It guides you step by step so you don’t feel lost.

Bonus: You also get access to a drawing board where you can sketch your architecture, just like in a real system design interview.

And most importantly they also share expert solution for most of the problems to see how an expert should answer that question. For example, here is the solution of how to design a URL shortening service and its also available for free

2. Difficulty-Based Categorization

Just like LeetCode, both System design and object oriented design problems are categorized as:

Easy — Foundational concepts like Load Balancing, Caching, Message Queues
Medium — Scenarios like Rate Limiting, Search Autocomplete, Real-Time Chat Systems
Hard — Complex designs like Distributed Databases, Cloud Storage, and Microservices Architecture

Each problem also includes company tags so you can focus on what’s asked at FAANG and other top tech companies. For example, this how to design Twitter problem is a medium scale problem which you can see to get some experience. It’s also free.

3. AI-Powered Hints & Evaluations

One of the best features is AI-assisted guidance. You get to chat with the coach — the AI agent which will help you with the question and solution.

✅ If you get stuck, AI provides hints — just like LeetCode’s hint system.
✅ If you submit a design proposal, AI evaluates it against industry best practices.
✅ You get automated feedback on scalability, fault tolerance, and efficiency.

This bridges the gap between self-learning and expert mentorship.

Beyond System Design: Object-Oriented Design & AI Interviews

Codemia.io goes beyond just system design. It also covers Object-Oriented Design (OOD) Questions. If you don’t know , Object-Oriented Design is a common low-level design (LLD) round at FAANG.

Here are OOP problems you can solve on codemia.io to get some practice:

Classic problems like Parking Lot, ATM Machine, and Hotel Booking System
Step-by-step UML diagrams and class structure explanations
Comparison of different design patterns

If you struggle with OOD interviews, this is a goldmine.

Here is also all the OOP design problems available on Codemia.io

Codemia.io vs DesignGurus.io vs Educative

Now, let’s see how codemia.io compares with other popular resources we have used in past to prepare for System Design interview, notably DesignGurus.io whose Grokking the System Design Interview course is also one of my favorite and Educative.io, whose modern System design course is also a great resource.

You can see that codemia.io have highest number of practice problems, 120+ and growing, no other platform have that many questions which is also the big plus point of this platform and that’s why I called it “Leetcode of System Design”.

Second important point is expert written solution, also known as editorial solution in this website. There are mor than 80+ such solution which are great resource to compare your solution, learn from them and also find how to answer such questions.

What point to mention, what should you discuss, tradeoffs and so much more.

Another plus point of codemia.io is that it has object oriented programming questions which is not available in other courses, though DesignGurus.io have Grokking the Object Oriented Design Interview course which you can use for OOP design practice, but again when it comes to numbers, codemia.io wins.

So far we have compared the content but if we talk about platform, codemia.io have especially designed for online practice, particularly Software design questions.

It comes with Interactive learning tools, interactive feedback and evaluation, chatbot and a great design tool for drawing. No other platform support so much feature which is essential to master system design.

Then there is community and you can also see the solution of other folks to learn from them. I love this feature as it allows me to see what other folks are thinking and how they solve that problem. This comparative analysis have helped me a lot to learn key system design concepts.

Overall, I think, codemia.io is a great platform to prepare for System design and OOP design interview. You may find courses but its hard to find a platform like this.

I highly recommend it for anyone preparing for System Design and Tech interviews. And, if you want to join now, you can also use discount code PROMOTION20 to get 20% off now.

Here is the link — 20% OFf on Codemia.io

Final words

If you’re preparing for FAANG system design interviews, Codemia.io is a must-try. It solves the biggest problems in system design prep:

✅ Structured learning path (instead of random articles)
✅ Real-world hands-on practice (instead of just reading)
✅ Expert evaluation & AI feedback (so you know what to improve)
✅ Mock interviews to simulate real conditions

I’m still exploring Codemia.io, but what I’ve seen so far is truly impressive.

If you’ve tried it, let me know what you liked or didn’t like.

Other System Design Articles and Resources you may like

Thanks for reading this article so far. If you like this article then please share with your friends and colleagues. If you have any questions feel free to ask in comments.

P. S. — They are also offering 20% discount now and you can get access for just $59 for one year, original price is $120 so you have a chance to save$60 and also learn System design better.

Master System Design Interviews Through Active Practice

Passively learning system design does not work. Now you can practice system design problems like the way you practice…

codemia.io

I Joined 30+ Generative AI Courses on Udemy: Here Are My Top 7 Recommendations for 2026

2026-05-22T21:53:22.696-07:00

Hello guys, ever since the ChatGPT rocked the world a couple of years ago, Generative AI become the hottest technology to learn and if you also want to learn Gen AI and looking for best resources then you have come to the right place.

Earlier, I have shared best AI courses, best ChatGPT courses, best Data Science courses and best Machine Learning courses and in this article, I am going to share best Udemy courses to learn Generative AI or Gen AI in 2026.

Generative AI is revolutionizing industries across the globe, offering new ways to create content, enhance productivity, and push the boundaries of artificial intelligence.

From chatbots and virtual assistants to generating images, music, and even complex applications, learning generative AI has never been more important.

If you want to stay ahead in the world of tech, learning Generative AI is the key and there is no better way to learn Gen AI then enrolling in a comprehensive course.

I am going to share the 7 best Udemy courses to master Generative AI in 2026 but if you are in hurry then you can start with the Generative AI for Beginners course on Udemy. It’s a great course for beginners to start with Gen AI and also teach you ChatGPT and other AI tools.

Generative AI for Beginners

Welcome to Generative AI for Beginners , the ultimate course designed for those eager to dive into the world of…

trk.udemy.com

7 Best Generative AI Courses for Beginners on Udemy in 2026

Without any further ado, here is a list of best Generative AI Courses you can join on Udemy in 2026. These courses not just cover the theory part of Generative AI but also various AI tools like ChatGPT and Claude AI as well as popular LLM framework like LangChain and Huggingface.

So what are we waiting for, let’s see these courses:

1. Complete Generative AI Course With Langchain and Huggingface

This Udemy course provides an in-depth introduction to Langchain and Huggingface, two cutting-edge frameworks for building, deploying, and optimizing generative AI models.

In this Gen AI course you will learn how to harness the power of large language models (LLMs) and build practical AI applications, making it perfect for developers looking to dive into generative AI.

Here are key skills you will learn in this course:

Langchain and Huggingface
Deploying AI models
Optimizing generative AI applications
Bestseller | 27,293 students
Ideal For: Developers aiming to get hands-on with AI-powered solutions.

Here is the link to join this course — Complete Generative AI Course With Langchain and Huggingface

Complete Generative AI Course With Langchain and Huggingface

Unlock the full potential of Generative AI with our comprehensive course, "Complete Generative AI Course with Langchain…

trk.udemy.com

2. Generative AI for Beginners

This is another highly popular Gen AI course on Udemy which is designed for beginners who are new to the world of generative AI.

It covers foundational concepts, including ChatGPT, Prompt Engineering, and how to create a basic Generative AI Chatbot.

The lessons are straightforward, making it perfect for those looking to start their AI journey with practical applications.

What You’ll Learn:
Generative AI fundamentals
Using ChatGPT and Large Language Models
Creating AI-driven chatbots
Bestseller | 77,082 students
Ideal For: Beginners with little to no experience in AI.

Here is the link to join this course — — Generative AI for Beginners

Generative AI for Beginners

Welcome to Generative AI for Beginners , the ultimate course designed for those eager to dive into the world of…

trk.udemy.com

3. Generative AI — — The Ultimate Guide! Beginner to Leader in AI

This Udemy course is another comprehensive guide to taking you from a beginner to a leader in the generative AI space.

This course focuses on ChatGPT, Stable Diffusion, andPrompt Engineering, as well as advanced techniques that will equip you with the knowledge to develop innovative AI projects.

What You’ll Learn:
ChatGPT and Stable Diffusion techniques
Prompt Engineering for creative AI
Advanced AI project development
1,092 students
Ideal For: Learners looking to grow from beginner to expert level in generative AI.

Whether you’re a developer, data scientist, or tech enthusiast, this course is packed with actionable insights.

Here is the link to join this course— Generative AI— The Ultimate Guide! Beginner to Leader in AI

Generative AI - The Ultimate Guide! Beginner to Leader in AI

This is the most comprehensive and hands-on course to learn all the concepts, tools, models and workings of Generative…

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4. Machine Learning, Data Science and Generative AI with Python

For those who want to combine Machine Learning, Data Science, and Generative AI, this course is a must.

It covers hands-on tutorials with TensorFlow, OpenAI’s GPT models, and neural networks.

With over 215,000 students, this is one of the most popular courses for anyone looking to build strong AI and data science skills in Python.

What You’ll Learn:
Machine learning fundamentals
Generative AI with Python, TensorFlow, GPT models
Neural networks and real-world AI projects
215,586 students
Ideal For: Data scientists, machine learning engineers, and AI enthusiasts looking for hands-on projects.

Here is the link to join this course— Machine Learning, Data Science and Generative AI with Python

Machine Learning, Data Science & AI Engineering with Python

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5. ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

This is one of the most comprehensive courses for exploring 25+ Generative AI Tools to boost your productivity, creativity, and business processes.

Covering everything from Midjourney, ChatGPT 4, CustomGPTs, and Prompt Engineering, it’s perfect for learners who want to explore a wide range of tools for generative AI in various fields.

What You’ll Learn:
Midjourney, ChatGPT 4, CustomGPTs
Exploring 25+ Generative AI tools
Generative AI applications in business and creativity
Bestseller | 221,672 students
Ideal For: Entrepreneurs, developers, and creatives seeking to leverage AI for business and productivity.

Here is the link to join this course— ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

6. 2026 Bootcamp: Generative AI + LLM App Development

This comprehensive bootcamp takes you from absolute beginner to professional in Generative AI and Large Language Model (LLM) app development.

The course is designed to equip learners with the skills to build potential-rich generative AI applications.

It covers the keys to working with AI frameworks, exploring practical tools, and developing LLM-based projects.

What You’ll Learn:
Core concepts of Generative AI and LLMs
Application development using AI technologies
Real-world projects and hands-on experience
11,729 students
Ideal For: Beginners and professionals looking to build advanced AI apps.

This course is perfect for aspiring AI developers, this course offers hands-on experience and expert guidance to help you stay ahead in the evolving AI landscape.

Here is the link to join this course — 2026 Bootcamp: Generative AI + LLM App Development

7. Learn Generative AI in Software Testing

Generative AI is not just revolutionizing software development but also transforming software testing.

This course focuses on Prompt Engineering skills to generate Test Artifacts, automation code, and demonstrates how AI-powered tools are reshaping the software testing landscape.

By learning how to integrate AI into software testing workflows, you’ll gain cutting-edge expertise to improve testing efficiency and accuracy.

What You’ll Learn:
Generating test artifacts and automation code using AI
AI-powered software testing tools
Prompt engineering for test optimization
Ideal For: QA engineers and testers looking to adopt AI in their testing processes.
Hot & New | 6,785 students

This course is ideal for QA engineers and software testers, this course will introduce you to AI-driven testing methodologies and best practices.

Here is the link to join this course — Learn Generative AI in Software Testing

Conclusion

That’s all about the 7 best Generative AI courses for beginners on Udemy in 2026. Generative AI is the future, and mastering it now will give you an edge in the rapidly evolving tech landscape.

Each of these courses provides a unique approach to learning Generative AI, whether you’re just starting or looking to deepen your expertise.

You can choose the course that fits your learning style and objectives, and embark on your AI journey today!

Other Data Science, Machine Learning, and AI Courses you may like

Thanks for reading this article so far. If you like these best free deep learning courses, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — — If you want to learn ChatGPT but looking for a free ChatGPT online course then you can also check out ChatGPT Masterclass: A Complete ChatGPT Zero to Hero! Udemy course. It’s completely free, all you need is a free Udemy account to join this course.

10 Best ChatGPT Online Courses for Beginners in 2026

Master Conversational AI with Top online Courses on ChatGPT for 2026. Also include best courses on Prompt Engineering…

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I Tried Generative AI for Software Development Certificate on Coursera and Its Awesome

2026-05-22T08:46:02.161-07:00

Hello guys, Generative AI is really changing how Software developer works and not learning Generative AI can be a big mistake in 2026. I can tell this from my personal experience after using ChatGPT, ClaudAI and Microsoft GitHub Pilot as Coding assistant.

With these tools you can really get things done much more quicker than without them, its like how IDE came 15 years ago and changed the software development.

I still remember writing code in Notepad and then using JCreator, a Java tool which was not full fledged IDE but allows code completion and compilation and running from same window. That improved the productivity a lot compared to Notepad.

And when I learned Eclipse, the productivity again got improved and finally when I switched to IntelliJ IDEA there was another boost to my developer productivity but AI can take developer productivity to a new level.

If you are with me in terms of what Generative AI offers to software developer and looking for best resources to learn about Generative AI then you have come to the right place.

Earlier, I have shared best Generative AI and ChatGPT courses and today I am going to talk about an awesome Coursera certification on Generative AI known as Generative AI for Software Development Skill Certificate.

Generative AI for Software Development

Offered by DeepLearning.AI. Leverage AI in your software development workflow. Learn practical prompt engineering and…

coursera.pxf.io

This certificate is created by DeepLearning.ai, a company by Andrew Ng, co-founder of Coursera and a leading voice in AI world.

This course is especially designed to leverage AI in your software development workflow. You will learn practical prompt engineering and pair programming techniques with LLMs to write, test, and improve your code.

If that excites you then go ahead and join Generative AI for Software Development Skill Certificate, you will not regret and thank me later.

By the way, you can also get this course on Coursera Plus, a subscription plan which gives access to 10,000+ courses and certificates for an annual fee of just $399 and great thing is that they are offering $200 discount now which means you can get it for just $199, almost 50% discount.

Here is the special link to get discount, its not available to normal Coursera Plus link

Coursera Plus | Unlimited Access to 10,000+ Online Courses

Invest in your professional goals with Coursera Plus. Get Unlimited access to over 90% of courses, Projects…

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If you intend to join multiple courses on Coursera, including this one then I suggest you to get Coursera Plus, its not just cost effective but also allows hassle free learning as you don’t need to buy courses every time you want to learn something.

If you are still in doubt, let’s continue the review of this awesome Generative AI course on Coursera.

Reveiew — Is the Generative AI for Software Development Skill Certificate Worth It?

The rapid rise of generative AI technologies has revolutionized how software developers write, test, and optimize code.

The Generative AI for Software Development Skill Certificate by DeepLearning.AI, led by renowned instructor Laurence Moroney, offers a comprehensive pathway to mastering AI-assisted development.

With an industry-focused curriculum and hands-on projects, this program promises to enhance your software engineering skills and future-proof your career. But is it worth the investment?

Let’s break it down.

Key Features of the Certificate

The Generative AI for Software Development Skill Certificate is a 3-course series designed for beginners and experienced developers alike.

It focuses on integrating Large Language Models (LLMs) into everyday development workflows. Here’s what makes this program unique:

Practical Focus on AI Collaboration
You’ll learn how to work with LLMs like ChatGPT as pair programming partners, debugging assistants, and even system designers. By mastering prompt engineering, the program helps you leverage AI tools for common development tasks and advanced design challenges.
Career-Enhancing Skills
The certificate teaches essential skills like using generative AI for system optimization, improving code quality, and speeding up prototyping. It positions learners to excel in an AI-driven job market, with Gartner predicting 70% adoption of AI coding tools by platform engineering teams by 2027.
Flexible and Beginner-Friendly
With a time commitment of just 5 hours per week for one month, the program is accessible to busy professionals. Beginners in AI and machine learning will find the content approachable, while experienced developers can deepen their understanding of AI integration.

Course Details

The program consists of three courses, each building on practical applications of generative AI in software development:

1. Introduction to Generative AI for Software Development

Duration: 8 hours
Rating: 4.7 (291 reviews)
What You’ll Learn: Basics of LLMs, fundamentals of prompt engineering, and AI-assisted coding.

2. Team Software Engineering with AI

Duration: 13 hours
Rating: 4.7 (73 reviews)
What You’ll Learn: Collaborative tools for development teams, advanced prompting strategies, and improving workflows using AI.

3. AI-Powered Software and System Design

Duration: 11 hours
Rating: 4.7 (78 reviews)
What You’ll Learn: Using LLMs to assist in architectural design, database implementation, and optimizing software performance.

What Makes this Certificate Valuable?

Here are few things which makes this certification really worth it and stand out from others:

Hands-On Projects for Real-World Skills

Pair programming with LLMs to modify data structures at scale.
Utilizing AI for rigorous software testing, identifying bugs, and crafting edge-case tests.
Designing and implementing secure, efficient database systems in collaboration with AI.

Professional Credibility
This certificate comes with a shareable credential from DeepLearning.AI, recognized by top employers globally. Adding it to your LinkedIn profile or resume signals your expertise in integrating AI with software development.
Taught by a Trusted Expert
Laurence Moroney, the program’s instructor, brings a wealth of experience as a former AI lead at Google and an established educator in machine learning. His teaching is accessible and practical, ensuring you get actionable insights.

Who Should Take This Certificate?

While I think every software developer should join this course as there is a saying that a craftman is as good as their tool and Generative AI is one tool which you just can’t miss anymore.

But, in broader way, the certificate is ideal for:

Beginner Developers: Gain a strong foundation in generative AI and how to apply it effectively.
Experienced Programmers: Learn advanced techniques to collaborate with AI and optimize workflows.
Career Changers: Transition into roles requiring AI-powered development expertise.

Is Generative AI for Software Development Skill Certificate Worth It?

The Generative AI for Software Development Skill Certificate stands out as a timely and relevant program.

With the growing integration of AI tools in development workflows, the skills taught in this program are increasingly in demand.

Its practical, project-based approach ensures that learners not only understand the technology but can apply it effectively.

Whether you’re looking to advance in your current role or stay competitive in a rapidly changing industry, this certificate provides valuable insights and actionable skills.

Here is the link to join this certification — Generative AI for Software Development Skill Certificate

Conclusion

In 2026, as generative AI continues to redefine software development, having a credential like this positions you ahead of the curve. There is also a saying that a Software developer is as good as their tool and Generative AI is one tool which you just can’t miss anymore.

With top-notch instruction, hands-on projects, and a flexible schedule, the Generative AI for Software Development Skill Certificate is undoubtedly worth considering for anyone serious about mastering AI-powered coding.

P. S. — If you want to join this course or any other course on Coursera then now is the best time to join because Coursera is offering a whopping $200 discount on Coursera Plus Annual subscription which means you get it for just $199 for one year rather than $399. This is really a good deal for developer and I highly recommend every developer to avail this, I already got mine. Coursera doesn’t give this kind of discount often. Click here to get your discount.

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Invest in your professional goals with Coursera Plus. Get Unlimited access to over 90% of courses, Projects…

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9 Essential Software Architecture Patterns for Scalable Distributed Systems in 2026

2026-05-21T07:26:50.335-07:00

Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.

image_credit - ByteByteGo

Hello friends, in modern software development, distributed systems are very popular but architects and developers face the challenge of designing systems that efficiently manage data and facilitate seamless communication between various components.

Architectural patterns provide proven solutions to common problems encountered in distributed systems, ensuring reliability, scalability, and maintainability.

Among these patterns, some patterns stand out as fundamental for managing data and communication flow effectively, which we will see in this article.

These are also important topic for System design interviews and knowledge of these pattern goes a long way in solving System design problem and impressing your interviewer.

Apart from preparing common System design questions like API Gateway vs load balancer, Forward Proxy vs Reverse Proxy as well common System Design problem , it make sense to know about these patterns as well.

Let's find out more about these patterns to understand their principles and applications.

By the way, if you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGo, Design Guru, Exponent, Educative, Codemia.io , bugfree.ai, and Udemy which have many great System design courses

Also, a solid knowledge of various Architecture patterns like Peer to Peer Pattern, API Gateway goes a long way in designing systems that can withstand the test of time on production. On that note, here is a nice diagram from DesignGuru.io on Microservices architecture:

9 Best Architectural Patterns for Distributed Systems

In the past, you have learned about essential Microservice design patterns like Event Sourcing, SAGA, Database Per Microservices, API Gateway, Circuit-Breaker and also shared best practices to design Microservices , now its time to see the brief overview of common architecture patterns for Data communication.

1. Peer-to-Peer (P2P) Pattern

The Peer-to-Peer pattern fosters direct communication between two or more components without the need for a central coordinator.

In this decentralized model, each node in the network can act as both a client and a server, enabling efficient resource sharing and collaboration.

P2P architectures are commonly used in file sharing systems, decentralized applications (DApps), and blockchain networks, where resilience and scalability are paramount.

Here is how P2P architecture looks like:

2. API Gateway Pattern

An API Gateway serves as a unified entry point for client requests to access backend services within an application.

By consolidating multiple APIs into a single interface, it simplifies client-server interactions and enforces security, authentication, and rate limiting policies.

API Gateways are essential components in microservices architectures, enabling service discovery, load balancing, and protocol translation while abstracting the complexities of backend systems.

Here is how it looks:

If you like to watch, here is another great video from ByteByteGo which explains API Gateway

3. Pub-Sub (Publish-Subscribe)

The Pub-Sub pattern decouples message producers (publishers) from consumers (subscribers) through a message broker or event bus like Kafka, Solace, RabbitMQ, or ActiveMQ.

Publishers broadcast messages to predefined topics or channels, while subscribers express interest in specific topics and receive relevant messages asynchronously.

Pub-Sub architectures facilitate loose coupling, scalability, and fault tolerance, making them ideal for real-time messaging systems, event-driven microservices, and IoT platforms.

Here is how Pub-sub pattern looks like:

4. Request-Response Pattern

The Request-Response pattern represents the fundamental interaction model in distributed systems, where a client sends a request to a server and awaits a corresponding response.

This synchronous communication paradigm is prevalent in web applications, RESTful APIs, and RPC (Remote Procedure Call) frameworks.

Request-Response interactions ensure predictable behavior and enable error handling, making them suitable for transactional workflows and user-facing interfaces.

Here is how Request-Response model looks like in action:

5. Event Sourcing Pattern

Event Sourcing is a distributed system pattern for persisting the state of an application as a sequence of immutable events.

Instead of storing current state directly, events representing state transitions are stored and replayed to reconstruct the application state when needed.

Event Sourcing enables auditability, temporal querying, and replayability, making it well-suited for financial systems, collaborative editing tools, and domain-driven designs where historical data is crucial.

Here is how a Event Sourcing pattern looks like:

And, if you like to watch, here is a nice video on Event Sourcing which is worth watching:

6. ETL (Extract, Transform, Load) Pattern

ETL is a data integration pattern used to extract data from multiple sources, transform it into a standardized format, and load it into a destination database or data warehouse.

This pattern is essential for data migration, synchronization, and consolidation tasks in business intelligence, data analytics, and data warehousing projects.

ETL pipelines automate data workflows, handle data quality issues, and support batch processing of large datasets.

Here is how ETL looks lin action:

7. Batching Pattern

Batching involves accumulating data over a period or until a certain threshold is reached before processing it as a single unit.

By aggregating multiple operations into larger batches, it reduces overhead and improves efficiency in data processing pipelines.

Batching is commonly employed in data ingestion, ETL processes, and distributed computing frameworks to optimize resource utilization and minimize latency.

Here is how a Batching pattern looks like:

9. Streaming Processing Pattern

Streaming Processing enables the continuous ingestion, processing, and analysis of data streams in real-time. Unlike batch processing, which operates on static datasets, streaming systems handle infinite data streams with low latency and high throughput.

Streaming architectures support event-driven processing, complex event processing (CEP), and real-time analytics applications in domains such as finance, IoT, and cybersecurity.

Here is a nice diagram from Hazlecast which shows Stream Processing in action:

10. Orchestration Pattern

Orchestration involves a central coordinator (an orchestrator) managing the interactions between distributed components or services to execute a workflow or business process.

By coordinating task execution, handling exceptions, and enforcing dependencies, orchestration ensures the orderly execution of complex workflows spanning multiple systems.

Orchestration engines are used in workflow automation, business process management (BPM), and microservices orchestration to streamline operations and improve agility.

Here is how it looks by using Saga Orchestrator Pattern

And, here is a nice diagram from ByteByteGowhich explains all these architecture styles in a more visual way

Best System Design Interviews Resources

And, here are curated list of best system design books, online courses, and practice websites which you can check to better prepare for System design interviews. Most of these courses also answer questions I have shared here.

DesignGuru's Grokking System Design Course: An interactive learning platform with hands-on exercises and real-world scenarios to strengthen your system design skills.
Codemia.io : This is another great platform to practice System design problems for interviews. It got more than 120+ System design problems, many of them are free and also a proper structure to solve them.
"System Design Interview" by Alex Xu: This book provides an in-depth exploration of system design concepts, strategies, and interview preparation tips.
"Designing Data-Intensive Applications" by Martin Kleppmann: A comprehensive guide that covers the principles and practices for designing scalable and reliable systems.
Bugfree.ai: Bugfree AI is a popular platform for technical interview preparation. It's a LeetCode-style platform to practice System Design and Coding interview questions. It includes a variety of questions to practice.
"System Design Primer" on GitHub: A curated list of resources, including articles, books, and videos, to help you prepare for system design interviews.
Educative's System Design Course: An interactive learning platform with hands-on exercises and real-world scenarios to strengthen your system design skills.
High Scalability Blog: A blog that features articles and case studies on the architecture of high-traffic websites and scalable systems.
YouTube Channels: Check out channels like "Gaurav Sen" and "Tech Dummies" for insightful videos on system design concepts and interview preparation.
ByteByteGo: A live book and course by Alex Xu for System design interview preparation. It contains all the content of the System Design Interview book volumes 1 and 2, and will be updated with volume 3 which is coming soon.
Exponent: A specialized site for interview prep, especially for MAANG companies like Amazon and Google, They also have a great system design course and many other material which can help you crack FAANG interviews.

image_credit - ByteByteGo

You should also combine theoretical knowledge with practical application by working on real-world projects and participating in mock interviews. Continuous practice and learning will undoubtedly enhance your proficiency in system design interviews.

That's all about 9 essential Software architecture patterns. Most of these patterns are also applicable to distributed systems, and they are also quite important for system design interviews.

In short, the effective management of data and communication flow is critical for building robust and scalable distributed systems.

Architectural patterns such as Peer-to-Peer, API Gateway, Pub-Sub, Request-Response, Event Sourcing, ETL, Batching, Streaming Processing, and Orchestration offer valuable solutions to address diverse challenges in system design and implementation.

By understanding these software architecture and distributed system patterns and their respective strengths and trade-offs, architects and developers can make informed decisions to design systems that meet the evolving needs of their applications and users.

19 Microservices Patterns for System Design Interviews

2026-05-20T07:32:58.258-07:00

Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.

image_credit - ByteByteGo

Hello friends, if you are preparing for system design interviews, then it makes sense to prepare for Microservices design patterns as well, not just to do well on interviews or make your architecture more robust, but also to understand existing projects.

Microservices patterns like Circuit Breaker, API Gateway, Saga, and Event Sourcing are tried and tested solutions to common Microservices Problems.

These patterns address common challenges in microservices architectures like scalability, fault tolerance, and data consistency.

In the past, I have talked about common system design questions like API Gateway vs Load Balancer and Horizontal vs Vertical Scaling, Forward proxy vs reverse proxy as well common System Design problems and in this article I am going to share 24 key Microservices design patterns that are essential knowledge for technical interviews.

They are also one of the essential System design topics for interview, and you must prepare them well.

Many companies use microservices, so understanding these patterns shows you're up-to-date with current trends. Knowing when and how to apply these patterns also demonstrates your ability to solve complex distributed system problems.

These patterns often involve trade-offs, allowing you to showcase your analytical thinking. Interviewers often present scenarios where these patterns are relevant solutions.

By the way, if you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGo, Design Guru, Exponent, Educative, Codemia.io, and Udemy which have many great System design courses and a System design interview template like this which you can use to answer any System Design question.

If you need more choices, you can also see this list of best System Design courses, books, and websites

P.S. Keep reading until the end. I have a free bonus for you.

So, what are we waiting for? Let's jump right into it

19 Microservices Design Patterns for System Design Interviews

Microservices architecture is a design approach that structures an application as a collection of loosely coupled services.

To build scalable, maintainable, and resilient microservices-based systems, various patterns have emerged.

Here are essential microservices patterns you can use in your project, and also remember for system design interviews.

1. Service Registry

Since there are many microservices in a microservice architecture, they need to discover and communicate with each other.

A Service Registry, such as Netflix Eureka or Consul, acts as a centralized directory where services can register themselves and discover others.

Here is what it looks like:

2. API Gateway

An API Gateway serves as a single entry point for client applications, aggregating multiple microservices into a unified API.

It handles requests, routing them to the appropriate services, and may perform tasks like authentication, authorization, and load balancing.

Here is what API Gateway looks like:

3. Circuit Breaker

Inspired by electrical circuit breakers, this pattern prevents a microservice failure from cascading to other services. The Circuit breaker pattern monitors for failures and, if a threshold is crossed, opens the circuit, preventing further requests.

This helps with graceful degradation and fault tolerance, and it's essential in a Microservice architecture to prevent a total shutdown of your services.

Here is an example of Netflix Hysrix as a circuit breaker:

4. Bulkhead

In a microservices system, isolating failures is crucial. The Bulkhead pattern involves separating components or services to contain failures.

For example, thread pools or separate databases for different services can be used to prevent a failure in one part of the system from affecting others.

Here is a diagram showing the Bulkhead pattern in Microservices architecture:

5. Saga Pattern

This pattern is used for managing distributed transactions. The Saga pattern breaks down a long-running business transaction into a series of smaller, independent transactions.

Each microservice involved in the saga handles its own transaction and publishes events to trigger subsequent actions.

Here is how Saga Pattern looks in action:

6. Event Sourcing

This is another popular pattern which is used heavily in high frequently low latency applications.

In this pattern, instead of storing only the current state, Event Sourcing involves storing a sequence of events that led to the current state.

This pattern provides a reliable audit trail and allows for rebuilding the system state at any point in time.

Here is how Event Sourcing looks in action:

7. Command Query Responsibility Segregation (CQRS)

CQRS Pattern separates the read and write sides of an application. It uses different models for updating information (commands) and reading information (queries).

This pattern can improve scalability, as read and write operations have different optimization requirements.

Here is a nice diagram that shows the CQRS pattern:

8. Data Sharding

Database sharing pattern is used to distribute the database load and avoid bottlenecks. Data Sharding involves partitioning data across multiple databases or database instances.

In this pattern, each microservice may handle a subset of data or specific types of requests.

Here is how database sharding looks, credit - Design Guru

9. Polyglot Persistence

Different microservices may have different data storage needs. Polyglot Persistence allows using multiple database technologies based on the requirements of each microservice, optimizing for data storage, retrieval, and query capabilities.

Here is a nice diagram that shows Polyglot persistence in Azure :

10. Retry

In Microservice architecture, when a transient failure occurs, the Retry pattern involves retrying the operation instead of immediately failing.

It can be applied at various levels, such as service-to-service communication or database interactions.

Here is a nice diagram from ByteByteGo, a great place for system design learning, which shows the Retry pattern in Microservices:

12. Sidecar

The Sidecar pattern involves attaching a helper service (the sidecar) to the main microservice to provide additional functionalities such as logging, security, or communication with external services.

This allows the main service to focus on its core functionality.

Here is what a Sidecar pattern looks like:

13. Backends for Frontends (BFF)

Also known as BFF, this pattern is useful when dealing with multiple client types (e.g., web, mobile). The BFF pattern involves creating separate backend services tailored for each type of client.

This allows for optimized and specialized APIs for each client.

Here is what a Backends for Frontends (BFF) pattern looks like:

14. Shadow Deployment

The Shadow Deployment pattern involves routing a copy (shadow) of production traffic to a new microservice version without affecting the actual user experience.

This is one of the popular deployment strategies, and it helps validate the new version's performance and correctness.

Here is what shadow deployment looks like

15. Consumer-Driven Contracts

In a microservices ecosystem, multiple services often interact with one another. The Consumer-Driven Contracts pattern involves consumers specifying their expectations from producers, allowing for more robust and coordinated changes.

Here is a nice diagram that explains Consumer Driven contracts

16. Smart Endpoints, Dumb Pipes

This pattern advocates for placing business logic in microservices (smart endpoints) rather than relying on complex middleware. The communication infrastructure (pipes) should be simple and handle only message routing.

17. Database per Service

This is another popular Microservices pattern where each microservice has its own database, and services communicate through well-defined APIs.

Database per Service pattern provides isolation but also requires careful consideration of data consistency and integrity.

Here is how this pattern looks:

18. Async Messaging

Instead of synchronous communication between microservices, the Async Messaging pattern involves using message queues to facilitate asynchronous communication. This can improve system responsiveness and scalability.

Here is a nice diagram that shows the difference between sync and async messaging

19. Stateless Services

Designing microservices to be stateless simplifies scalability and resilience. Each service processes a request independently, without relying on stored state, making it easier to scale horizontally.

Here is a nice diagram which shows the difference between Stateless Services and Stateful Services

System Design Interviews Resources

And, here is my curated list of best system design books, online courses, and practice websites which you can check to better prepare for System design interviews. Most of these courses also answer questions I have shared here.

DesignGuru's Grokking System Design Course: An interactive learning platform with hands-on exercises and real-world scenarios to strengthen your system design skills.
Codemia.io: This is one of the best places to practice System design problems for interviews online. It has more than 120+ System design problems, many of which are free and also a proper structure to solve them.
Exponent: A specialized site for interview prep, especially for FAANG companies like Amazon and Google. They also have a great system design course and many other materials which can help you crack FAANG interviews.
"Designing Data-Intensive Applications" by Martin Kleppmann: A comprehensive guide that covers the principles and practices for designing scalable and reliable systems.
LeetCode System Design Tag: LeetCode is a popular platform for technical interview preparation. The System Design tag on LeetCode includes a variety of questions to practice.
"System Design Primer" on GitHub: A curated list of resources, including articles, books, and videos, to help you prepare for system design interviews.
Educative's System Design Course: An interactive learning platform with hands-on exercises and real-world scenarios to strengthen your system design skills.
High Scalability Blog: A blog that features articles and case studies on the architecture of high-traffic websites and scalable systems.
YouTube Channels: Check out channels like "Gaurav Sen" and "Tech Dummies" for insightful videos on system design concepts and interview preparation.
ByteByteGo: A live book and course by Alex Xu for System design interview preparation. It contains all the content of the System Design Interview book volumes 1 and 2, and will be updated with volume 3 which is coming soon.
"System Design Interview" by Alex Xu: This book provides an in-depth exploration of system design concepts, strategies, and interview preparation tips.

image_credit - ByteByteGo

That's all about the common Microservice patterns and concepts a developer should know. These microservices patterns help address various challenges associated with building and maintaining distributed systems, providing solutions for communication, fault tolerance, data management, and scalability.

When designing microservices architectures, combining these patterns judiciously can lead to a robust and resilient system.

These additional microservices patterns, when applied thoughtfully, contribute to building resilient, scalable, and maintainable distributed systems.

The choice of patterns depends on the specific requirements and challenges faced during the design and implementation of microservices architectures.

Bonus

As promised, here is the bonus for you, a free book. I just found a new free book to learn Distributed System Design, you can also read it here on Microsoft --- https://info.microsoft.com/rs/157-GQE-382/images/EN-CNTNT-eBook-DesigningDistributedSystems.pdf

Caching Strategies in System Design: Types, Patterns, Trade-offs & Best Practices

2026-05-18T21:50:32.074-07:00

Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.

image_credit - DesignGuru.io

Hello friends, Caching is not just an important topic for System design interviews, its also technique in software development, enabling faster data retrieval, reducing load times, and enhancing user experience.

For developers, mastering caching concepts is crucial as it can significantly optimize application performance and scalability.

In the past, I have talked about common system design questions like API Gateway vs Load Balancer and Horizontal vs Vertical Scaling, Forward proxy vs reverse proxy as well common System Design problems and in this article we will explore the fundamentals of caching in system design and learn different caching strategies that are essential knowledge for technical interviews.

It's also one of the essential System design topics for interview and you must prepare it well.

In this article, you will learn ten essential caching concepts, ranging from client-side and server-side strategies to more advanced techniques like distributed caching and cache replacement policies

So what are we waiting for? let's start

By the way, if you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGo, Design Guru, Exponent, Educative, Codemia.io and Udemy which have many great System design courses and a System design interview template like this which you can use to answer any System Design question.

If you need more choices, you can also see this list of best System Deisgn courses, books, and websites

P.S. Keep reading until the end. I have a free bonus for you.

What is Caching? Which data to Cache? Where to Cache?

While designing distributed system, caching should be strategically placed to optimize performance, reduce latency, and minimize load on backend services.

Caching can be implemented at multiple layers like

Client-Side Cache
This involves storing frequently accessed data on the client device, reducing the need for repeated requests to the server. It is effective for data that doesn't change frequently and can significantly improve user experience by reducing latency.
Edge Cache (Content Delivery Network - CDN)
CDNs cache content at the edge nodes closest to the end-users, which helps in delivering static content like images, videos, and stylesheets faster by serving them from geographically distributed servers.
Application-Level Cache
This includes in-memory caches such as Redis or Memcached within the application layer. These caches store results of expensive database queries, session data, and other frequently accessed data to reduce the load on the database and improve application response times.
Database Cache
Techniques such as query caching in the database layer store the results of frequent queries. This reduces the number of read operations on the database and speeds up data retrieval.
Distributed Cache
In a distributed system, a distributed cache spans multiple nodes to provide high availability and scalability. It ensures that the cached data is consistent across the distributed environment and can handle the high throughput required by large-scale systems.

When designing a caching strategy, it's crucial to determine what data to cache by analyzing usage patterns, data volatility, and access frequency.

Implementing an appropriate cache eviction policy (such as LRU - Least Recently Used, or TTL - Time to Live) ensures that stale data is purged, maintaining the cache's relevance.

Moreover, considering consistency models and cache invalidation strategies is vital to ensure that cached data remains accurate and up-to-date across the system.

And, here is a nice diagram on caching from DesignGuru.io to illustrate what I just said.

10 Caching Basics for System Design Interview

Here are 10 essential caching related basics and concepts every programmer must know before going for any System design interview.

1) client-side caching

Client-side caching is a fundamental technique where data is stored on the user's device to minimize server requests and improve load times. Two primary methods include:

Browser Cache: Stores resources like CSS, JavaScript, and images locally to reduce page load times on subsequent visits.
Service Workers: Enable offline access by caching responses, allowing applications to function without an internet connection.

In short:

browser cache: stores CSS, js, images to reduce load time\
- service workers: enable offline access by caching response

Here is how client side caching looks like:

2) server-side caching

This is another type of caching which involves storing data on the server to expedite response times for user requests.

Key strategies include:

Page Caching: Saves entire web pages, allowing faster delivery on subsequent requests .
Fragment Caching:
Caches specific parts of a page, such as sidebars or navigation bars, to enhance loading efficiency.
Object Caching:
Stores expensive query results to prevent repeated calculations

In short:

page caching: cache the entire web page
- fragment caching: cache page components like sidebars, navigation bar\
- object caching: cache expensive query results

Here is how server side caching looks like:

image_credit --- ByteByteGo

3) Database caching

Database caching is crucial for reducing database load and improving query performance. Important techniques include:

Query Caching:
Stores the results of database queries to quickly serve repeat requests.
Row Level Caching:
Caches frequently accessed rows to avoid repeated database fetches.

In short:

query caching: cache db query results to reduce load
- row level caching: cache popular rows to avoid repeated fetches

Here is an example of database caching on AWS:

4) application-level caching

Application-level caching focuses on caching within the application to reduce computation and data retrieval times. Strategies include:

Data Caching: Stores specific data points or entire datasets for quick access.
Computational Caching: Caches the results of expensive computations to avoid repeated processing.

In short:

data caching: cache specific data points or entire datasets\
- computational caching: cache expensive computation results to avoid recalculation

5) Distributed caching

Distributed caching enhances scalability by spreading cache data across multiple servers, allowing high availability and fault tolerance.

In short, this type of caching just spreads cache across many servers for scalability

Here is how a distributed cache with Redis looks like:

6) CDN

Content Delivery Networks (CDNs) are used to cache static files close to users via edge servers, significantly reducing latency and speeding up content delivery.

In short, CDN store static files near users using edge servers for low latency

Also, here is a nice diagram on how CDN Works by DeisgnGuru.io

7) cache replacement policies

Cache replacement policies determine how caches handle data eviction. Common policies include:

Least Recently Used (LRU): Evicts the least recently accessed items first.
Most Recently Used (MRU): Evicts the most recently accessed items first.
Least Frequently Used (LFU): Evicts items that are accessed least often.

In short:

- LRU: removes the least recently accessed items first\
- MRU: removes the most recently accessed items first\
- LFU: removes items that are accessed least often

8) hierarchical caching

Hierarchical caching involves multiple cache levels (e.g., L1, L2) to balance speed and storage capacity. This model is quit popular on CPU.

In short:

caching at many levels (L1, L2 caches) for speed and capacity

9) cache invalidation

Cache invalidation ensures that stale data is removed from the cache. Methods include:

Time-to-Live (TTL): Sets an expiry time for cached data.
Event-based Invalidation: Triggers invalidation based on specific events or conditions.
Manual Invalidation: Allows developers to manually update the cache using tools.

In short:

- TTL: set expiry time\
- event based: invalidate based on events or conditions\
- manual: update cache using tools

Here is a nice System design cheat sheet about cache invalidation methods by DesignGuru.io to understand this concept better:

10) caching patterns

Finally, caching patterns are strategies for synchronizing cache with the database. Common patterns include:

Write-through: Writes data to both the cache and the database simultaneously.
Write-behind: Writes data to the cache immediately and to the database asynchronously.
Write-around: Directly writes data to the database, bypassing the cache to avoid cache misses on subsequent reads.

In short:

- write-through: data is written to the cache and the database at once\
- write-behind: data is written to the cache and asynchronously to database\
- write-around: data is written directly to the database, bypassing the cache

Here is another great diagram to understand various caching strategies, courtesy DesignGuru.io, one of the best place to learn System Design.

Best System Design Interviews Resources

DesignGuru's Grokking System Design Course: An interactive learning platform with hands-on exercises and real-world scenarios to strengthen your system design skills.
Codemia.io : This is another great platform to practice System design problems for interviews. It got more than 120+ System design problems, many of them are free and also a proper structure to solve them.
"System Design Interview" by Alex Xu: This book provides an in-depth exploration of system design concepts, strategies, and interview preparation tips.
"Designing Data-Intensive Applications" by Martin Kleppmann: A comprehensive guide that covers the principles and practices for designing scalable and reliable systems.
LeetCode System Design Tag: LeetCode is a popular platform for technical interview preparation. The System Design tag on LeetCode includes a variety of questions to practice.
"System Design Primer" on GitHub: A curated list of resources, including articles, books, and videos, to help you prepare for system design interviews.
Educative's System Design Course: An interactive learning platform with hands-on exercises and real-world scenarios to strengthen your system design skills.
High Scalability Blog: A blog that features articles and case studies on the architecture of high-traffic websites and scalable systems.
YouTube Channels: Check out channels like "Gaurav Sen" and "Tech Dummies" for insightful videos on system design concepts and interview preparation.
ByteByteGo: A live book and course by Alex Xu for System design interview preparation. It contains all the content of System Design Interview book volume 1 and 2 and will be updated with volume 3 which is coming soon.
Exponent: A specialized site for interview prep especially for FAANG companies like Amazon and Google, They also have a great system design course and many other material which can help you crack FAAN interviews.

image_credit - ByteByteGo

Conclusion

That's all about 10 essential Cache related concepts for System design interview. Caching can improve the performance and scalability of your application. So use it carefully. Understanding and implementing these caching concepts can significantly enhance application performance, scalability, and user satisfaction.

Other System Design Articles and Resources you may like

Thanks for reading this article so far. If you like this Twitter system design interview solution then please share it with your friends and colleagues. If you have any questions feel free to ask in the comments.

Bonus\
As promised, here is the bonus for you, a free book. I just found a new free book to learn Distributed System Design, you can also read it here on Microsoft --- https://info.microsoft.com/rs/157-GQE-382/images/EN-CNTNT-eBook-DesigningDistributedSystems.pdf

SQL Query Execution Order: How SQL Queries Actually Work (Must Know for Interviews)

2026-05-18T07:18:57.182-07:00

Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.

Hello guys, one of the common question on technical interviews about SQL is how exactly SQL query work? While this may seems simple, many programmers including experienced one fail to answer this with confidence.

Many developer don't even know how the SQL commands are executed and in which order?

For them the SQL query is executed as they are written but that's not true, you can see from the above diagram that FROM and JOIN is executed before you can SELECT anything, which is again very rational if you think through.

Earlier, I have shared 20 SQL queries from interviews and 50 System design questions and in this article, I am going to answer how exactly SQL query works under the hood, so stay tuned and continue reading.

And, if are preparing for tech interviews and you need more questions not just queries but also database and SQL related questions from other topics like indexes, joins, group by, aggregation, and window functions then you can also checkout these 200+ SQL Interview Questions .

This course is one of the specially designed course to prepare you for SQL interviews by answering popular questions. You can also get this for big discount now.

How exactly SQL Query is executed?

Structured Query Language or SQL is the standard language for managing and manipulating relational databases.

It provides a powerful and efficient way to interact with data, enabling developers, analysts, and data scientists to retrieve, insert, update, and delete information from databases.

While SQL queries are written in a declarative, human-readable format, there is a complex process that occurs behind the scenes to execute these queries and retrieve the desired results.

In this article, we'll delve into the inner workings of SQL queries, breaking down the process step by step.

1. Query Parsing and Tokenization

The journey of an SQL query begins with parsing and tokenization. When a user submits an SQL query, the database management system (DBMS) must first break down the query into individual tokens.

Tokens are the smallest units of the query and can include keywords (SELECT, FROM, WHERE, etc.), table and column names, operators (=, >, <, etc.), and values.

This process involves identifying the syntax and structure of the query to ensure it follows the rules of the SQL language.

2. Query Optimization

Once the query is parsed and tokenized, the DBMS performs query optimization. This is a crucial step that aims to improve the efficiency of query execution.

The DBMS analyzes the query and explores various execution plans to determine the most efficient way to retrieve the requested data.

It considers factors such as indexes, table relationships, and available resources to create an execution plan that minimizes the time and resources needed to complete the query.

3. Execution Plan Generation

The chosen execution plan outlines the sequence of steps required to fulfill the query.

It determines the order in which tables are accessed, the types of joins performed, and the filtering conditions applied.

The DBMS generates this plan based on statistical information about the data distribution and the database schema.

The goal is to reduce the amount of data that needs to be processed and to optimize disk and memory usage.

On Microsoft SQL Server, a Query Execution plan looks like below:

4. Data Retrieval and Joins

With the execution plan in place, the DBMS begins the process of data retrieval. If the query involves multiple tables, the DBMS performs join operations to combine the relevant data.

Joining tables efficiently requires comparing and matching rows based on specified conditions. Depending on the type of join (inner join, outer join, etc.), the DBMS determines which rows from each table should be included in the result set.

5. Filtering and Sorting

After joining the necessary tables, the DBMS applies filtering conditions specified in the WHERE clause. This involves evaluating each row to determine whether it meets the criteria set by the user.

Rows that do not satisfy the conditions are discarded, while those that pass the filter are retained for further processing.

Additionally, if the query includes an ORDER BY clause, the DBMS will sort the resulting rows based on the specified column(s).

Sorting involves arranging the data in a specific order, such as ascending or descending, to produce the final ordered result set.

6. Aggregation and Grouping

Aggregation functions such as SUM, COUNT, AVG, MIN, and MAX are commonly used in SQL queries to perform calculations on groups of data.

If the query includes a GROUP BY clause, the DBMS groups the rows based on the specified columns. It then applies the aggregation functions to each group separately, producing summary statistics or calculations for the grouped data.

7. Result Set Generation

With all the necessary operations performed, the DBMS generates the final result set. This set of rows and columns represents the data that satisfies the user's query. T

he result set is then returned to the user or the application that initiated the query.

8. Index Utilization

Indexes play a vital role in optimizing the performance of SQL queries. An index is a data structure that provides a quick way to look up data based on specific columns.

When executing a query, the DBMS may utilize indexes to efficiently locate the relevant rows, reducing the need for full-table scans and improving query response times.

9. Transaction Management

Transactional operations in SQL, such as INSERT, UPDATE, and DELETE, involve modifying data in the database. These operations are grouped into transactions, which ensure data consistency and integrity.

When a transaction is initiated, the DBMS may lock the affected rows or tables to prevent other transactions from accessing or modifying them concurrently.

Once the transaction is completed, the changes are either committed to the database or rolled back, depending on the success or failure of the transaction.

10. Caching and Memory Management

Modern database systems employ various caching and memory management techniques to optimize query performance.

Caching involves storing frequently accessed data in memory to reduce the need for disk reads, which are slower in comparison.

The DBMS may also use buffer pools to manage memory allocation for query execution and result set generation, further enhancing efficiency.

SQL Query Order? How SQL Query are executed under the hood?

It's also important to know and remember in which order various SQL commands like SELECT, FROM, COUNT, WHERE, HAVING, ORDER BY, JOIN etc are applied

SQL queries are processed in a specific order, and understanding this order is crucial for writing and optimizing queries effectively. The typical order of SQL query processing involves the following steps:

FROM: The query begins by specifying the source tables or views from which the data will be retrieved. This clause defines the primary data source for the query.
JOIN: If the query involves multiple tables, the JOIN clause is used to combine data from different tables based on specified conditions. Different types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, etc.) determine how rows from each table are matched and included in the result set.
WHERE: The WHERE clause is used to filter rows based on specific conditions. It restricts the data to only those rows that meet the specified criteria. Rows that do not satisfy the conditions are excluded from further processing.
GROUP BY: If aggregation is required, the GROUP BY clause is used to group rows with similar values in specified columns. This step is often used in conjunction with aggregation functions like COUNT, SUM, AVG, etc. to perform calculations on grouped data.
HAVING: The HAVING clause is used to filter the result set after the GROUP BY operation has been performed. It specifies conditions for filtering aggregated data. Similar to the WHERE clause, rows that do not meet the criteria are excluded from the final result.
SELECT: The SELECT clause is used to specify the columns that should appear in the final result set. It determines which data will be retrieved and displayed in the query output.
DISTINCT: The DISTINCT keyword, if used, removes duplicate rows from the result set, ensuring that only unique values are displayed.
ORDER BY: The ORDER BY clause is used to sort the result set based on specified columns. It arranges the rows in ascending or descending order, as specified.
LIMIT/OFFSET or FETCH/FIRST: Depending on the database system, you might use LIMIT (or FETCH or FIRST) and OFFSET clauses to control the number of rows returned and to implement pagination.
UNION/INTERSECT/EXCEPT: If needed, these set operations can be used to combine the results of multiple queries.

Here is a nice diagram from Medium which clearly explains how the SQL query looks like and how its executed by Query engine:

It's important to note that the actual order of execution may vary based on the specific database management system being used.** However, the logical processing order remains consistent across most SQL databases.

Additionally, modern query optimizer may rearrange some of these steps for performance reasons while ensuring that the final result remains accurate and consistent.

Understanding the order of SQL query processing not only help in technical interviews but also allows you to write efficient and effective queries, and it provides insights into query optimization and performance tuning.

By structuring your queries with this order in mind, you can better control the flow of data and achieve the desired results.

Conclusion

That's all about how SQL query are executed under the hood. SQL queries might seem like simple statements, but there is a complex process that unfolds behind the scenes to retrieve, manipulate, and manage data.

From parsing and optimization to execution plan generation and result set generation, every step is meticulously orchestrated to ensure efficient and accurate query processing.

Understanding how SQL queries work under the hood provides developers and database administrators with valuable insights into performance optimization and query tuning, ultimately leading to better utilization of database resources and improved application responsiveness.

Both are great resources to prepare you for SQL interviews by answering popular questions.

All the best !!

Top 10 Microservice Best Practices for System Design Interview

2026-05-16T21:52:37.396-07:00

Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.

credit - Design Guru

Hello guys, it's no secret that Microservices have revolutionized the way we build applications, providing scalability, flexibility, and resilience, but its not easy to build Microservices which withstand test of time and test of production.

To ensure the success of microservices architecture, it is crucial to follow best practices that address key challenges and promote effective development and deployment strategies.

In the past, I have also shared about Database Sharding, System design topics, Microservice Architecture, and System design algorithms and today, I will share 10 microservice best practices that can help you build scalable and resilient applications.

These are the best practices I believe every experienced Java developer should know.

P.S. Keep reading until the end. I have a free bonus for you.

Top 10 Microservice Best Practices for Building Scalable Applications

By breaking down applications into smaller, independent services, organizations can achieve scalability, flexibility, and resilience. However, successfully implementing microservices requires following best practices to ensure the desired benefits.

Here are 10 essential Microservice best practices that can help you build scalable and resilient applications.

1. Separate Data Store for Each Service

One of the fundamental principles of microservices is to maintain separate data stores for each service. This approach ensures that each microservice has control over its data and avoids tight coupling between services.

By using database-per-service pattern or distributed data management techniques, such as event sourcing or CQRS, you can achieve data isolation and enhance scalability and resilience.

2. Keep Code at a Similar Level of Maturity

Maintaining a consistent level of maturity across microservices is essential for a cohesive and maintainable architecture.

It is crucial to avoid situations where some microservices are significantly more mature or advanced than others.

By aligning the development progress and capabilities of microservices, you can avoid dependencies and simplify the overall system design.

3. Separate Build for Each Microservice

To maintain the independence of microservices, it is essential to separate the build process for each service.

This practice enables individual teams to develop, test, and deploy their microservices without impacting others.

By decoupling the build and release processes, you can achieve faster iterations and reduce the risk of introducing bugs or regressions across the system.

4. Separate Repository for Each Microservice

Microservices should have their own code repositories to enable independent versioning, branching, and release management. Separate repositories facilitate decentralized development and deployment, allowing teams to work autonomously.

Each Microservice's repository should contain the code, configuration files, and deployment scripts specific to that service

5. Deploy Using Containers (Docker)

Containerization, particularly with Docker, has become a popular choice for deploying microservices.

Containers provide lightweight and isolated runtime environments that encapsulate microservice dependencies and configurations.

By packaging microservices into containers, you can achieve consistent deployment across different environments, simplify scaling, and improve portability.

6. Stateless Design (Treat Server as Stateless)

Adopting a stateless design for microservices helps improve scalability and resilience. Each microservice should treat the server as stateless, meaning it does not store session-specific data.

Instead, it relies on external services or databases to maintain state if required. Stateless services can be easily scaled horizontally to handle increased traffic and provide fault tolerance and load balancing.

This is also one of the most important lesson I learned in my software development career, always choose Stateless and keep it stateless as long as you can.

7. Domain-Driven Design

Domain-driven design (DDD) is a software development approach that aligns business requirements with the software architecture.

By organizing microservices around specific domains or business capabilities, you can achieve a more cohesive and maintainable system. DDD emphasizes the modeling of business entities, aggregates, and bounded contexts, ensuring that microservices are closely aligned with business needs.

8. Micro Frontend

Micro frontend architecture extends the principles of microservices to the frontend layer.

It involves breaking down the user interface into smaller, self-contained modules that can be developed and deployed independently.

By adopting micro frontend, you can achieve frontend scalability, independent deployment, and improved user experience through modular and reusable components.

9. Single Responsibility

Applying the single responsibility principle to microservices ensures that each service has a specific and well-defined purpose. Each microservice should focus on a particular business capability or functionality.

This practice enhances modularity and allows for independent development, testing, and deployment. Avoid creating monolithic services that handle multiple responsibilities, as it can lead to tightly coupled and complex architectures.

10. Loose Coupling and High Cohesion

Microservices should be loosely coupled, meaning they can operate independently without strong dependencies on other services. Loose coupling allows for independent scaling, deployment, and modification of services.

Additionally, strive for high cohesion within each microservice, ensuring that its components are closely related and work together to fulfill a single purpose.

Well-defined APIs, contracts, and communication protocols are key to achieving loose coupling and high cohesion.

11. Use Kubernetes for Scaling [Bonus]

This is a bonus best practice for you because you have read the article till the end. Kubernetes is a powerful container orchestration platform that simplifies the management and scaling of microservices.

It provides features like automatic scaling, load balancing, service discovery, and self-healing capabilities.

By leveraging Kubernetes, you can dynamically scale your microservices based on resource usage, distribute traffic efficiently, and ensure high availability and fault tolerance.

System Design Interviews Resources:

DesignGuru's Grokking System Design Course: An interactive learning platform with hands-on exercises and real-world scenarios to strengthen your system design skills.
"System Design Interview" by Alex Xu: This book provides an in-depth exploration of system design concepts, strategies, and interview preparation tips.
"Designing Data-Intensive Applications" by Martin Kleppmann: A comprehensive guide that covers the principles and practices for designing scalable and reliable systems.
LeetCode System Design Tag: LeetCode is a popular platform for technical interview preparation. The System Design tag on LeetCode includes a variety of questions to practice.
"System Design Primer" on GitHub: A curated list of resources, including articles, books, and videos, to help you prepare for system design interviews.
Educative's System Design Course: An interactive learning platform with hands-on exercises and real-world scenarios to strengthen your system design skills.
High Scalability Blog: A blog that features articles and case studies on the architecture of high-traffic websites and scalable systems.
YouTube Channels: Check out channels like "Gaurav Sen" and "Tech Dummies" for insightful videos on system design concepts and interview preparation.
ByteByteGo: A live book and course by Alex Xu for System design interview preparation. It contains all the content of System Design Interview book volume 1 and 2 and will be updated with volume 3 which is coming soon.
Exponent: A specialized site for interview prep especially for FAANG companies like Amazon and Google, They also have a great system design course and many other material which can help you crack FAANG interviews.

image_credit - ByteByteGo

Remember to combine theoretical knowledge with practical application by working on real-world projects and participating in mock interviews. Continuous practice and learning will undoubtedly enhance your proficiency in system design interviews.

Conclusion

That's all about the 10+ Microservices best practices you can follow to create a better, scalable and more robust Microservice applications. It's no secret that implementing microservices architecture requires adherence to best practices that address key challenges in scalability and resilience.

By following best practices such as separate data store for each microservice, maintaining single responsibility, achieving loose coupling and high cohesion, and using tools like Docker and Kubernetes, you can build scalable and resilient Microservice applications.

Additionally, adopting stateless design, domain-driven design, micro front-end, and ensuring similar code maturity across microservices will contribute to a successful microservices architecture that can adapt to evolving business needs.

This is also one of the popular topic for System Design interviews. If you are preparing for Software Engineer interview which require System Design skills then you can also prepare System design Questions like API Gateway vs Load Balancer and Horizontal vs Vertical Scaling, Forward proxy vs reverse proxy, how to manage transactions in Microservices, and difference between SAGA and CQRS Pattern, they are quite popular on interviews.

Bonus

I Tried 20+ System Design Interview Courses on Udemy: Here Are My Top 5 Recommendations for 2026

2026-05-16T03:23:34.481-07:00

Hello guys, if you are preparing for Software Engineer or Software Developer Job interview then you may know that how important is to prepare for System Design, especially if you want to get a developer job on top tier company like Amazon, Google, Meta, Apple and Netflix.

In the past, I have shared several resources for System design interview preparation like best System Design Interview Books, websites, and popular Software design questions for practice, and today, I am going to share best System Design courses from Udemy, one of my favorite place to learn anything related to tech.

Why Udemy? Well, my reason to choose Udemy was mainly for its affordable price. There is no other place where you can find 50+ hours of top quality courses for just $10.

Apart from price, choice is another reasons why I like to learn on Udemy. It’s the largest market place of online courses and you will have plenty of choices.

If you enroll in a course and don’t like the instructor or his way of explanation or content, you can ask for refund and choice another course.

This is the facility, which I have never found anywhere else, except subscription based sites like Educative , ByteByteGo, Design Guru, Exponent, Codemia.io, and Bugfree.ai.

That’s why I always go to Udemy to enroll into the System Design courses and today I am going to share few gems from my collection.

By the way, if you are in hurry then just go and join Mastering the System Design Interview by Frank Kane, a 5 hour course from an ex Amazon Hiring manager where he share proper process and insider tips to crack the System design interviews on FAANG or MAANG companies.

You can also get this course now for just $10 as Udemy is running their biggest sale. I already bought 50+ courses to learn in-demand skills this year. You can also join this course for a discount, you will thank me later.

6 Best High Level and Low Level System Design Courses You can Join on Udemy in 2026

Without any further ado, here is my favorite System design courses you can join on Udemy. These System design courses are created by System design expert and current and ex-FAANG employees who have served on both side of table.

I mean they have not only cleared the interviews as a candidate but also taken interviews as hiring manager.

There are plenty to learn form these experienced hands and these course provide that opportunity to you. If you are serious about your System design interview preparation then you will love these courses for sure.

1. Mastering the System Design Interview by Frank Kane

This was one of the first System design interview course I joined on Udemy. I have known Frank Kane from his previous courses on Big Data and Scala and was big fan of his teaching style and content.

So, when he release his System design course, I immediately joined the course and I must say I wasn’t disappointed.

The course not only cover key system design concepts like caching, scalability, sharding, security, and software architecture but also answer frequently asked System design questions like difference between Horizontal and Vertical Scaling, and API Gateway vs Load Balancers.

The course not only touch base upon Big Data, ACID properties, Data Structures and Algorithms but also share strategies to tackle pressure of System design interviews and how to answer system design questions.

For practice, you will also solve popular System Design problems like URL Shortening, and Web Crawlers and learn how to apply your knowledge on solving System design problem.

Talking about social proof, more than 62,373 students have already joined this course and it has on average 4.6 rating from close to 8800 raters which is amazing.

Frank has done amazing job with this course. I highly recommend this course to anyone who is preparing for System Design interview in 2026.

Here is the link to join this course — Mastering the System Design Interview by Frank Kane

2. Rocking System Design by Rajdeep Saha

If you need an alternative of Frank’s course then you can checkout this Rocking System Design course by Rajdeep Saha. This one was my first course of Rajdeep and I didn’t know him before. Rajdeep is a AWS solution architect and that shows in his course.

In this course, you will not only learn how to answer System design questions on interview but also learn about Cloud Computing, particularly AWS and how to design applications for Cloud.

This 9-hour online course covers AWS implementation of the design using Kubernetes, Lambda, API Gateway, EC2, ALB, NLB etc, and also touch base upon core system design concepts like scaling, sharding, hashing, microservices, load balancers, security, well architected framework, and more

The course is also full of quizzes and exercises. You can test your knowledge with up-to-date system design quizzes. Talking about social proof, more than 13,381 engineers have already joined this course and on average it has 4.5 rating which is quite amazing.

Here is the link to join this course — — Rocking System Design by Rajdeep Saha

3. System Design Interview Guide for Software Architecture by CodeKarle

This is another Udemy course on System Design interview which is created by an ex FAANG engineer, Sandeep Kaul. Sandeep is an Experienced Tech Lead/Architect with a huge breadth and depth of knowledge based on his experience on a wide variety of technologies that he has worked on in his career, and that shows in this course.

In this System Design Interview Guide you will not only learn the strategy to crack your next High Level System Design Interview but also learn about Distributed Systems, Microservices Architecture, Databases, Software Architecture, Analytics, and Design Patterns, which will also be used in your day-to-day task and help become a better engineer.

You will also find solutions to the most common Interview Questions at FAANGs like how to design WhatsApp, how to design Uber, How to design Amazon, How to design Twitter, YouTube, AirBnb and many other real apps.

The course also comes with a lot of quizzes and coding problems which you can use to further solidify your knowledge .

In short, one of the best course on high level system design. I absolutely loved it. Sandeep covers each topic in sufficient detail and his deep understanding of various technical aspects shines throughout the course.

I highly recommend it to anyone interested in taking their system design skills to the next level.

Here is the link to join this course — System Design Interview Guide for Software Architecture by CodeKarle

4. Pragmatic System Design by Alexey Soshin

This 5-hour long System design interview course on Udemy is created by Alexy Soshin, a Senior Solutions Architect at Amazon Web Services. Alexy is a well known expert in System design and also author of “Kotlin Design Patterns and Best Practices” book.

He has also one of the coauthor of “97 Things Every Java Programmer Should Know” book, one of my favorite Java book of recent time. Where you will find 97 essays from different expert on key technical topics.

In this System design course on Udemy, you will learn not only learn how ow to solve most popular FANG interview questions but also

important scalability concepts
Common communication protocols
Caching and Redis
Concurrency
Database design and PostgreSQL
Sharding strategies, and much more.

Talking about social proof, more than 26,522 software engineers have already joined this course and on average it has 4.3 rating out of 5 which is great.

Here is the link to join this course — Pragmatic System Design by Alexey Soshin

5. The “BigTech” System Design Interview Bootcamp

If you are looking for a bootcamp style course to prepare for System design interview in 2026 then you will love this course. It provides complete guide to nail your next System Design Interview with Hands-On, Project-Based learning with discord community!

Created by Fabien HinsenKamp, an SSE @ Amazon, this course provides Hands-on experience with component-level system design and real-world application through 10 mock interview challenges.

The course also provides a prefect introduction to System Design, what I loved about this course was not just the technical information taught, but also the tips provided on how to crack the technical interview.

Since Fabien is already working in Microsoft and have gone through the same path and crack the code, his tips are battle hardened and quite valuable.

Fabian ia also very responsive and available on Udemy and Discord for Questions and Queries. And he does not spoon-feed the answers, but ignites that curiosity to learn more about the topics you find interesting, which a sign of a great teacher.

If you want to crack your next System Design interview and just starting then you can join this course. More than 22,292 students have already joined this course.

Here is the link to join this course — The “BigTech” System Design Interview Bootcamp

6. Low Level System Design [An interview perspective]

While most of the course in this list covers high level system design I thought to include one course from Low Level system design to balance things out and also because Low Level System design is also important for crack tech interviews.

Created by Abhishek Ghosh, this course will teach you how to begin coding by keeping extensibility in mind. You will learn how to weed out unnecessary information from the problem definition, identify traction, and create a class diagram with it

You will also learn about how to write test cases for the problem as and when required and gain necessary exposure and modifications to the API for code sustainability

The course also teach you how to use encapsulation when required and generate desired accessors and mutators. Most importantly you will learn how to complete code during interview time and ain insight into fallback plans in emergency cases, which always happens.

Talking about social proof, more than 4,810 students have already joined this course and it has on average 4.5 rating which is quite nice for a low level system design course. If you want to master Low Level System design, I highly recommend this course.

Here is the link to join this course — Low Level System Design [An interview perspective]

That’s all about the best online courses you can join to prepare for System Design interviews on Udemy. System Design is very vast topic that’s why you need a couple of courses to really cover them.

I have learned better when I learn from two different instructors and that’s why I have shared System Design courses from different instructor in this list.

Also, all these courses are very affordable and you can get it for just $10 now on Udemy Sale. Even if you don’t have time to watch the course now, you can enroll at them now at a lower price to save money and complete it later when you have time.

I have already bought 50+ courses on recent Udemy sale on System Design, Programming and other technical topics.

And, if you want to join multiple course on Udemy, its may be worth getting a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month.

Review — Is the Udemy Personal Plan Worth It?

Is Udemy’s Personal Plan better than buying individual courses?

medium.com

Other Programming Articles and Tutorials you may like

Thanks for reading this article so far. If you like these System design interview courses form Udemy then please share with your friends If you got any other System design course which should be in this list, let me know in comments. Everybody loves great resources and happy learning System design.

P. S. — If you want to do just one thing to learn System Design in depth then I also suggest you to checkout Frank Kane’s Mastering the System Design Interview course on Udemy. Frank is an ex-hiring manager and know what it takes to crack System design interview of those big FAANG companies .

Top 10 Udemy Courses to Learn System Design and Software Architecture in 2026

My favorite Udemy courses to learn System Design and Software Architecture in 2026

medium.com

The Backend Developer's Reading List for 2026 (5 Books That Matter)

2026-05-15T08:20:35.021-07:00

Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.

Hello devs, if you're a senior developer looking to deepen your expertise and stay ahead of the curve in this AI era, then reading is non-negotiable.

It's the single most important thing to keep yourself up to date and to remember whatever you have learned.

While you definitely cannot beat AI when it comes to knowledge, you can learn how to make the best use of AI and combine that with our years of experience in System Design and Software architecture, and then you can definitely future-proof your career.

I regularly read blog posts, case studies, documentation, and books.

While reading is not easy and most of the time you will feel bored or sleepy, there are a few books that you want to read from start to end, and I am going to share such books for your 2026 reading.

These five books represent the essential knowledge every engineering leader should have in their arsenal, whether you're architecting systems, optimizing performance, or navigating the AI landscape.

5 Must-Read Books for Backend Developers in 2026

Last year, I read close to 50 books; these are my top 5 picks to learn advanced software engineering skills and in-demand technologies this holiday.

Instead of books, I have divided them into skills you will learn by reading those books. This will help you to quickly find which book is worth your time.

1. Head First Software Architecture: A Learner's Guide to Architectural Thinking

Architecture is the language of senior engineers. Head First Software Architecture: A Learner's Guide to Architectural Thinking makes architectural patterns accessible without oversimplifying them.

If you're transitioning into leadership or want to strengthen your foundational knowledge, this book forces you to think visually and systematically about system design.

2. Software Architecture: The Hard Parts by Neal Ford and Mark Richards

Once you've got the fundamentals down, Software Architecture: The Hard Parts by Neal Ford and Mark Richards is where you'll find real wisdom.

It doesn't tell you the "best" architecture, but it teaches you how to evaluate trade-offs in distributed systems.

This is required reading for anyone making architectural decisions that impact hundreds of engineers and millions of users.

3. Latency: Reduce delay in software systems by Pekka Enberg

Performance is Non-Negotiable. A senior engineer knows that performance isn't a feature; it's a discipline. Latency: Reduce delay in software systems by Pekka Enbergtackles the hidden costs of latency that most engineers overlook.

From CPU cache behavior to distributed system delays, this book equips you with the insights needed to build systems that don't just work --- they fly.

Whether you're optimizing critical paths or debugging mysterious slowdowns, this knowledge becomes invaluable.

4. AI Engineering: Building Applications with Foundation Models

AI engineering is no longer optional for senior engineers, it's foundational. AI Engineering: Building Applications with Foundation Modelsbridges the gap between AI research and production systems.

It teaches you how to think about foundation models as infrastructure, not magic, which is exactly the mindset senior engineers need.

5. LLM Engineer's Handbook

For deeper production expertise, LLM Engineer's Handbook covers the practical challenges you'll face: prompt engineering at scale, managing model costs, handling latency, and building reliable systems around LLMs. This handbook is your guide to staying relevant as AI transforms software engineering.

Why Backend Developers Should Read these books?

If you have been reading news, then its not that bad for senior engineer while its mostly junior engineer who is facing AI's wrath if you are somewhere in middle, then its high time that you jump the ship towards senior.

Senior Backend engineers don't just write code, they shape systems, influence architecture, and guide teams.

These five books represent the critical knowledge areas: architectural decision-making, performance optimization, and AI engineering.

They're not quick reads, but they're investments in your career that pay dividends for years.

The engineers who read these books will be the ones designing the systems of 2026 and beyond. Make sure you're one of them.

All the best !!

I Found a Perfect Book to Learn Object Oriented Design and Its Awesome

2026-05-14T06:57:37.451-07:00

Hello folks, If you’re gearing up for coding and design interviews, I’ve got something valuable to share. The Object-Oriented Design Interview: An Insider’s Guide by Alex Xu and ByteByteGo has just hit the shelves, and it’s already creating a buzz in the tech interview prep space.

In this post, I’ll break down what’s inside this book, why it’s different, and why I believe it’s a must-read for software engineers preparing for interviews at top companies.

Let’s dive in.

Why Object-Oriented Design Matters in Interviews

Before we get into the book itself, let’s talk about why object-oriented design (OOD) skills are so critical in today’s software engineering interviews.

When you’re interviewing at companies like Google, Amazon, Meta, or any product-based firm, you’ll notice that system design and object-oriented design questions form a significant chunk of the interview rounds.

Why? Because writing clean, scalable, and maintainable code isn’t just about knowing syntax or solving algorithms. It’s about designing systems that can grow, adapt, and stay robust under pressure.

Object-oriented design interviews test how you structure your code, break down complex requirements, model real-world entities, and think through edge cases.

A solid grasp of OOD shows that you can handle large-scale software development — not just coding puzzles.

About the Authors: Alex Xu and ByteByteGo

If you’ve prepped for system design interviews before, chances are you’ve heard of Alex Xu. He’s the author behind System Design Interview: An Insider’s Guide, volumes 1 and 2 — books that many engineers swear by.

ByteByteGo, the platform co-founded by Xu, is dedicated to simplifying complex tech concepts with clean visuals and explanations.

Together, they’ve released several bestsellers, including:

Their new book, Object-Oriented Design Interview, follows the same philosophy: simplify, explain, and make it actionable.

A good thing is that now you can read all of their books in ByteByteGo, one single place as they have now added all of their books into this platform.

What’s Inside the Book? A Closer Look

This book isn’t just another collection of practice questions. It’s a guided tour of what OOD interviews are really about. Let’s break down its key features:

An Insider’s Framework

The book introduces a simple yet powerful 4-step framework for tackling any OOD interview question:

Understand the problem and clarify requirements.
Identify the core objects and relationships.
Design the interactions between objects.
Refine the design and consider edge cases.

This structure gives you a repeatable way to approach design questions, rather than fumbling through with ad-hoc solutions.

11 Real OOD Interview Problems

The book covers practical, frequently asked questions. Some examples:

Parking Lot System
Movie Ticket Booking System
Vending Machine System
Elevator System
ATM (Automated Teller Machine)
Restaurant Management System
Shipping Locker System
Tic-Tac-Toe and Blackjack (game design questions that often trip up candidates)

For each, you get a full walkthrough of the design process, trade-offs considered, and clean diagrams that show how it all fits together.

133 Diagrams

ByteByteGo’s strength has always been their visuals. This book includes over 130 detailed diagrams to illustrate architectures, class relationships, workflows, and more.

These aren’t just pretty pictures — they help you really see the design, which is critical in OOD.

Here is one such diagram about OOP Design patterns to give you an idea of what to expect

Strong Focus on Fundamentals

One of the first chapters is a no-nonsense recap of object-oriented programming principles: abstraction, encapsulation, inheritance, and polymorphism.

These are the building blocks that you’ll apply again and again in interview scenarios.

Here are 8 key OOP Concepts every developer should learn from ByteByteGo

Who Should Read This Book?

If you’re:

Preparing for software engineering interviews (especially at product-based companies),
Brushing up on system and object design before moving to a senior role,
Looking to move beyond just coding problems to larger design challenges,

then this book is for you.

It doesn’t assume you’re an expert designer already. In fact, if you’ve ever felt overwhelmed by OOD questions, this book helps you break them down into manageable parts.

How Does It Compare to Other Resources?

There are plenty of interview prep books out there. What sets Object-Oriented Design Interview apart is its blend of clarity, practicality, and focus on how to think.

Many books either:

Stay too theoretical, or
Give solutions without showing the thinking process.

This one strikes the right balance. It’s less about memorizing patterns and more about learning to reason like a designer — which is what interviewers actually want to see.

And of course, those diagrams make a big difference.

Here is the link to get this book — Object-Oriented Design Interview

Object Oriented Design Interview: An Insider's Guide

Object Oriented Design Interview: An Insider's Guide [Zhou, Desmond, Bokhari, Fawaz, Xu, Alex] on Amazon.com. FREE…

www.amazon.com

The print edition is already live on Amazon. The digital version will be available on the ByteByteGo site in a week or two. If you’re in India, the print edition should reach local Amazon stores soon.

Other Books by Alex Xu You Should Know About

If this is your first exposure to ByteByteGo’s work, check out these related titles:

System Design Interview — An Insider’s Guide (Vol 1 and 2) — Gold standard for system design prep.
Machine Learning System Design Interview — Great if you’re aiming for ML-heavy roles.
Generative AI System Design Interview — A newer book that tackles AI system challenges.
Coding Interview Patterns — Helps you spot common patterns in coding rounds.

Together, these books form a powerful toolkit for any serious interview candidate.

Final Thoughts: Is This Book Worth It?

In my view, absolutely. Object-Oriented Design Interview: An Insider’s Guide fills a real gap in the interview prep world. OOD interviews are tricky because they sit between pure coding and high-level architecture.

This book helps you navigate that space without getting lost in jargon or over-complication.

The 4-step framework alone makes the book worth reading, but the real value comes from seeing it applied in example after example.

By the time you’re done, you’ll not just know how to design a parking lot system or a vending machine — you’ll know how to approach any OOD problem with confidence.

If you’re aiming for roles at companies where design skills matter, or if you simply want to level up as an engineer, I highly recommend adding this to your prep stack.

I hope this review helps you decide if ByteByteGo fits your coding interview preparation plan! and if you want, you can check out ByteByteGo here: ByteByteGo Platform

System Design · Coding · Behavioral · Machine Learning Interviews

Everything you need to take your system design skill to the next level

bytebytego.com

Other System Design Tutorials and Resources you may like

All the best for your System Design Interviews, if you have any doubts or questions, feel free to ask in the comments.

P. S. — If you just want to do one thing at this moment, go join ByteByteGo and start learning System Design and Coding Interview concepts, you will thank me later. Make it a goal for the new year and you will surely be a better Software Engineer.

System Design · Coding · Behavioral · Machine Learning Interviews

Everything you need to take your system design skill to the next level

bytebytego.com

I Tried 40+ Machine Learning Courses: Here Are My Top 7 Recommendations for 2026

2026-05-13T08:11:58.981-07:00

Hello guys, if you want to learn Machine learning to become a Machine Learning Engineer or just want to learn Machine Learning to better understand the AI, and looking for resources then you have come to the right place.

Earlier, I have shared best online courses to learn Data Science, Machine learning, or Deep learning, and best AI courses, best ChatGPT courses and today, I am going to share best Udemy courses to learn Machine learning and AI in 2026.

Machine learning is at the core of artificial intelligence and is transforming industries from healthcare to finance.

As we enter 2026, the demand for machine learning skills continues to grow, making it a valuable area of study for beginners and professionals alike.

If you’re looking to break into this exciting field, Udemy offers a wealth of resources. Below are seven of the best Udemy courses for beginners that can help you build a strong foundation in machine learning.

Why Udemy courses?

Well because its more affordable and you can also have choices to learn from different expert.

Normally you can get a 50-hour high quality course for just $10 which is not available anywhere else and then you can learn from expert trainers from Google, Amazon and other ex-FAANG engineers.

Btw, if you are in hurry and just want to join one ML course to start your journey then you can join Complete A.I. & Machine Learning, Data Science Bootcamp course by Andrew Negaoie, one of my favorite teacher who is also founder of ZTM academy.

This is one of the best beginner friendly course on ML you will found online.

7 Best Machine Learning Courses on Udemy (2026)

Without any further ado, here are the best online courses you can join on Udemy to learn Machine Learning.

Most of the courses also covers Data Science, AI, and Deep Learning as they are related to Machine Learning. Not in great depth but you will learn get nice overview for sure.

So, what are we waiting for? Let start

1. Complete A.I. & Machine Learning, Data Science Bootcamp

This is one of the best Udemy course to start with AI, ML and Data Science. This is a comprehensive introduction to artificial intelligence and machine learning, covering key topics like data science, data analysis, and machine learning with Python.

Students: 131,773

You’ll dive deep into TensorFlow, Pandas, and more, gaining hands-on experience with real-world datasets.

It’s perfect for beginners who want to understand both the theory and practical applications of AI and machine learning.

Here is the link to join this course — — Complete A.I. & Machine Learning, Data Science Bootcamp

Complete A.I. & Machine Learning, Data Science Bootcamp

Become a complete A.I., Data Scientist and Machine Learning engineer! Join a live online community of 900,000+…

trk.udemy.com

2. Machine Learning, Data Science and Generative AI with Python

This is another bestseller Udemy course which provides an excellent starting point for anyone new to machine learning and data science.

It provides a hands-on introduction to Python, data visualization, and machine learning using libraries like NumPy, Pandas, and Scikit-learn.

Students: 215,586 students

The course is highly practical, offering numerous coding exercises and projects to solidify your learning.

Here is the link to join this course — Machine Learning, Data Science and Generative AI with Python

Machine Learning, Data Science & AI Engineering with Python

Master Machine Learning & AI Engineering - From Data Analytics to Agentic AI Solutions Launch your career in AI…

trk.udemy.com

3. Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2026]

For those looking for a comprehensive machine learning course, this hands-on course teaches you to build robust machine learning models using both Python and R.

Students: 1,091,038 students

It covers everything from basic principles to advanced concepts, making it ideal for beginners who are eager to master machine learning techniques across multiple programming languages.

Here is the link to join this course —Machine Learning A-Z: AI, Python & R + ChatGPT Prize

Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R

Interested in the field of Machine Learning? Then this course is for you! This course has been designed by a Data…

trk.udemy.com

4. The Data Science Course 2026: Complete Data Science Bootcamp

This is another extensive Udemy online course that covers everything from the basics of data science and machine learning to advanced topics like deep learning.

Students: 717,373 students

You’ll work through a variety of real-life projects that will help you understand how to apply machine learning algorithms to solve practical problems.

The course is well-structured and engaging for absolute beginners.

Here is the link to join this course — The Data Science Course 2026: Complete Data Science Bootcamp

The Data Science Course: Complete Data Science Bootcamp 2026

The Problem Data scientist is one of the best suited professions to thrive this century. It is digital…

trk.udemy.com

5. Artificial Intelligence A-Z 2026: Build 7 AI + LLM & ChatGPT

This course is designed to provide an easy-to-understand introduction to AI and machine learning.

You’ll cover foundational topics like neural networks, supervised learning, and unsupervised learning, as well as practical applications of AI.

Students: 45,839

This course is ideal for absolute beginners who want to get a feel for AI before diving into more technical machine learning topics.

Here is the link to join this course — — Artificial Intelligence A-Z 2026: Build 7 AI + LLM & ChatGPT

AI A-Z [2026]: Agentic AI, Gen AI, Prompt Engineering and RL

Welcome to Artificial Intelligence A-Z!

trk.udemy.com

6. Complete Data Science, Machine Learning, DL, NLP Bootcamp

This popular Udemy course gives you a solid grounding in machine learning, data science, and deep learning.

Students: 226,762

It focuses on hands-on coding using Python and covers key topics such as data preprocessing, model building, and model evaluation.

The course is perfect for beginners who want to quickly grasp the basics and start building their machine learning models.

Here is the link to join this course — Complete Data Science, Machine Learning, DL, NLP Bootcamp

Complete Data Science,Machine Learning,DL,NLP Bootcamp

Are you looking to master Data Science,Machine Learning (ML), Deep Learning(DL) and Natural Language Processing (NLP)…

trk.udemy.com

7. Deep Learning A-Z 2026: Neural Networks, AI & ChatGPT Prize

This is a top-rated course focused on deep learning, a subset of machine learning that is crucial for cutting-edge AI applications.

Students: 290,796

You’ll learn about neural networks, convolutional networks, recurrent networks, and more, with practical, hands-on examples.

This course is excellent for those who want to move beyond traditional machine learning techniques and delve into deep learning.

Here is the link to join this course — Deep Learning A-Z 2026: Neural Networks, AI & ChatGPT Prize

Deep Learning A-Z [2026]: DL, AI in Python & AWS + LLM Prize

As seen on Kickstarter *** Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving…

trk.udemy.com

That’s all about the best Udemy courses to learn Machine Learning in 2026. By enrolling in one of these courses, you can gain a solid understanding of machine learning and begin to build your career in AI.

Whether you’re interested in data science, AI, or deep learning, these courses will guide you from beginner to mastery.

I have also shared a complete Machine Learning Developer RoadMap in case you want to master it but that’s gonna take time but you can check that out after going through these courses.

Other Machine Learning articles you may like

P. S. — — If you are serious about moving into AI and Machine Learning field, I also suggest you learn Python, one of the most valuable skills when it comes to Machine Learning and AI. If you need resources, check out this 100 Days of Code: The Complete Python Pro Bootcamp for 2026 course on Udemy to kick-start your journey.

100 Days of Code™: The Complete Python Pro Bootcamp

Welcome to the 100 Days of Code - The Complete Python Pro Bootcamp, the only course you need to learn to code with…

trk.udemy.com

I Tried 30+ AWS Developer Certification Courses on Udemy: Here Are My Top 5 Recommendations for 2026

2026-05-12T08:08:36.510-07:00

Hello guys, Cloud computing is now an essential skill for developers, and Amazon Web Services (AWS) continues to dominate the cloud industry.

If you’re a developer looking to build and deploy applications on AWS, getting AWS Certified Developer — — Associate (DVA-C02) is one of the best steps you can take in 2026.

As an author, blogger, and instructor, I always recommend this certification to developers because it validates your ability to build, deploy, and debug applications on AWS.

It’s also a great way to get familiar with AWS Lambda, API Gateway, DynamoDB, and CI/CD tools like CodeBuild and CodePipeline.

Many companies now looking for certified AWS developers because cloud-based development is the future and certified developers are always preferred for their knowledge and certification.

Whether you’re a backend developer, a DevOps engineer, or a software engineer interested in AWS, this certification will make you stand out in the job market.

To pass the AWS Developer Associate (DVA-C02) exam, the best way to prepare is by taking an online course that covers both theoretical concepts and hands-on labs.

And, when it comes to online courses Udemy has some of the best courses for AWS Developer Associate, and I’ve picked the top five that will help you pass the exam in your first attempt.

By the way, if you are new to AWS then preparing for this certification is also the best way to learn AWS.

Though, for practical learning you can combine these courses with cloud labs like AWS Mastery: 26 AWS Cloud Projects for Engineers & Architect, which comes with 26 Hands-On AWS Projects and assignments covering VPC, EC2, Lambda, and Real-World Scenarios.

Top 5 Udemy Courses to Prepare for AWS Developer Associate Certification in 2026

Earlier, I have shared the best AWS solutions architect courses and practices tests and in this article, I will share the best Udemy courses for the AWS Certified Cloud Practitioner (CLF-C02) exam.

These Udemy courses cover everything from AWS fundamentals to real-world scenarios and practice tests, ensuring you’re fully prepared

1. Ultimate AWS Certified Developer Associate 2026 — NEW DVA-C02

This is the best AWS Developer Associate course on Udemy, created by Stéphane Maarek, AWS Hero, a Kafka Guru, and one of the top AWS instructors.

His teaching style is clear, hands-on, and exam-focused, making it ideal for both beginners and experienced developers.

What you’ll learn:

Core AWS services for developers — — Lambda, DynamoDB, API Gateway, S3, SQS, SNS
Developing and deploying applications on AWS
AWS SDKs and CLI for development
CI/CD with AWS Developer Tools
Security best practices for AWS applications

This course is the most up-to-date and covers everything needed for the DVA-C02 exam. If you want one solid course to pass the AWS Developer exam, this is the best choice.

Join here: Ultimate AWS Certified Developer Associate 2026 — NEW DVA-C02

2. AWS Certified Developer Associate Exam Training DVA-C02

This course is perfect for developers who prefer hands-on learning. It covers all AWS Developer exam topics but focuses more on real-world coding and development scenarios.

Created by Neal Davis, an AWS Certified developer and architect himself, this course is a great resource to pass the AWS Certified Developer Exam in first attempt.

Key highlights:

Hands-on coding exercises for AWS services
Deep dive into Lambda, DynamoDB, API Gateway, and Step Functions
Security and IAM roles for developers
AWS CI/CD pipelines and DevOps practices
Real-world case studies and projects
Bonus — — includes Practice test to build speed

If you learn best by doing, this course is an excellent choice for practical AWS development skills.

Join here: AWS Certified Developer Associate Exam Training DVA-C02

3. AWS Certified Developer Associate — — Practice Exams

Once you finish your course, the next step is to test your knowledge. This Udemy course provides six full-length practice exams that mimic the real AWS Developer Associate exam.

Created by Stéphane Maarek and Abhishek Singh, this mock exam course contains 390 original questions for DVA-C02 with detailed explanations.

Why this course is useful:

390+ exam-style questions with detailed explanations
Timed exams to improve speed and confidence
Questions covering all domains of the DVA-C02 exam
Helps identify weak areas for revision

Many students pass the AWS Developer exam by taking practice tests before the real exam. If you want to ensure you’re ready, this course is a must-have.

Join here: AWS Certified Developer Associate — — Practice Exams

And, if you need more practice then you can also combine this course with Neal Davis’ AWS Developer Practice Test and Jon Bonso’s Practice Tests, both are excellent and can help you to prepare better.

4. AWS Developer Associate — — Crash Course & Exam Guide

If you’re short on time and need a fast-track course, this crash course is a great option. It provides quick explanations of all key AWS Developer exam topics and is perfect for last-minute revision.

What you’ll get:

Concise and to-the-point explanations
Quick review of AWS services needed for the exam
Best for professionals with prior AWS knowledge
Includes exam tips and tricks

This course is best for those who need a refresher before the exam or want a quick overview of AWS Developer Associate concepts.

Join here: AWS Developer Associate — — Crash Course & Exam Guide

5. AWS Mastery: 26 AWS Cloud Projects for Engineers & Architect

This course focuses on real-world AWS development. If you want to go beyond certification and build real AWS applications, this course is perfect.

Key topics covered:

Building serverless applications using AWS Lambda and API Gateway
Database integration with DynamoDB and RDS
Using S3, SNS, and SQS in real applications
Developing microservices and event-driven applications on AWS

If you want to apply your AWS Developer skills to real-world projects, this course is an excellent choice.

Join here: AWS Mastery: 26 AWS Cloud Projects for Engineers & Architect

Conclusion

That’s all about the best Udemy courses to prepare for AWS Developer Associate Exam (DVA-C02) in 2026. I have tried to include both video courses to revise key exam topics as well as practice tests to build the speed and accuracy required to pass this exam in first attempt.

If you want to pass the AWS Certified Developer Associate (DVA-C02) exam in your first try, I highly recommend starting with Stephane Maarek’s Ultimate AWS Certified Developer Associate 2026 — NEW DVA-C02course and later doing his Practice tests AWS Certified Developer Associate — — Practice Exams.

It covers everything you need for the exam and provides hands-on experience with AWS services.

By the way, if you want to join multiple course on Udemy, its may be worth getting aUdemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.

Also here is a nice AWS Cloud Services cheat sheet for quick reference from ByteByteGo, its really nice to remember which AWS service is used for which purpose like EC2 related to compute and S3 related to storage.

Good luck on your AWS certification journey!

Other Certification Resources for IT Professionals and Java Programmers

Thanks for reading this article so far. If you find these Udemy Courses useful in passing your AWS Certified Developer Associate exam (DVA-C02), then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — — If you are keen to learn Amazon Web Services and looking for a free online training course to start with then you can also check out this free Amazon Web Services (AWS)— Zero to Hero course on Udemy. This course is completely free and you just need an Udemy account to join this course.

7 Best Free Courses to Crack AWS Developer Associate Certification for Beginners

My favorite free online courses to prepare for AWS Developer Associate Certification

medium.com

Stop Wasting Time — Here’s How to Prepare for Coding Interviews in 2026

2026-05-11T07:30:26.241-07:00

Hello guys, are you preparing for coding interviews but not sure where to start with? Are you drowned in the sea of Data structures and algorithms and System design and what not then you have come to the right place.

In the past, I have shared best coding interview books and courses, best System design books and courses, and in this article, I will share with you a systematic approach to prepare for coding interviews and also covering all the bases.

Looking for job in this tough market is not easy as many people are looking for the job and market is flooded with a lot of talented people, thanks to what happening in the world.

But that should not be an excuse but you also need to level up yourself to stand a chance.

Here are things you can do on your side for rock solid preparation.

By the way, if you are looking for one stop shop to prepare for coding interview then DesignGurus.io is a great place to start with.

They have many Grokking courses to prepare for coding interview like OOP Design, System Design, Dynamic Programming etc and you can get access to all of their courses for a big discount by joining their All course bundle. You can also use code GURU to get 30% discount.

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How to Crack Coding Interviews in 2026?

Here is your step by step guide to prepare well and crack the coding interviews and covering all the topics which matters:

1. Data Structures and Algorithms

If you are rusty, start with top interview questions:

Algomonster — http://shrsl.com/483tp
Bugfree.ai — LeetCode for System Design
Educative-99 — https://buff.ly/3LFG4zL (Available in both Python and Java) i twill teach you 26 key coding interview patterns
Blind 75: lnkd.in/g5wx7QSq
Grind 75: lnkd.in/gvZ7_pnp —
Practice C++ STL or Java Collections or data structure libraries in the language of your choice — essential for fast coding

If you are a beginner, DSA requires more than 3 months of active practice. I am omitting the details in this post

If you are looking for Java programs from coding interviews, I have shared many here. javarevisited.blogspot.com/2017/07/top-…

Top 50 Java Programs from Coding Interviews

A blog about Java, Programming, Algorithms, Data Structure, SQL, Linux, Database, Interview questions, and my personal…

javarevisited.blogspot.com

2. High Level Design (HLD)

1. Books: Start with Alex Xu’s Volumes 1 and 2 or an Educative subscription amazon.com/System-Design-Interview-insi…

System Design Interview - An insider's guide

System Design Interview - An insider's guide [Xu, Alex] on Amazon.com. FREE shipping on qualifying offers. System…

www.amazon.com

2. Videos: Good channel for basic concepts of System Design Interview — see here

Top 8 YouTube Channels for System Design Interview Preparation

These are the best YouTube channels you can subscribe to prepare for System Design Interviews

medium.com

3. Engage actively and try solving problems yourself

4. Mock interviews on Pramp, tyrExponent, and other platforms — medium.com/javarevisited/3-best-mock-in…

Interview prep for product, engineering, data science, and more - Exponent

Our courses help you prepare for interviews and excel at your job. Get advice from technical leads and product owners…

bit.ly

5. Practice System Design Problems in Leetcode style on Codemia -

Master System Design Interviews Through Active Practice

Passively learning system design does not work. Now you can practice system design problems like the way you practice…

codemia.io

2. Low Level Design (LLD)

If you are rust on LLD, you can start with reading:

1. Design Principles: Read “Head First Design Patterns” (read 2nd edition)

2. OOPs concepts should be crystal clear like Virtual Methods in C++ and Abstract class vs interface, overloading vs overriding, method hiding etc.

3. Questions: Awesome Low-Level Design — https://github.com/ashishps1/awesome-low-level-design by Ashish Pratap Singh of AlgoMaster newsletter, I highly recommend that one to programmers.

4. Practice question with a 45-minute timer

5. Solutions: Low-Level Design Playlist — lnkd.in/gkVZgK4b (Credits to Soumyajit Bhattacharyay)

4. CS Fundamentals

Learn from GateSmashers videos — lnkd.in/gs6m5RQb

Operating systems — see these courses

5. Behavioral

1. Use the STAR method (Situation, Task, Action, Result)

2. Keep each section concise: 4–5 sentences per section so that it can be covered in the given time during interviews

3. Prepare both a detailed and a short version of your answers

4. For resources, check free course Grokking the Behavioral Interview on Educative.

6. Company-specific Preparation

1. You can use Leetcode Premium to solve company-tagged problems

2. Explore tab in Leetcode Premium — lnkd.in/g3_dHef4

3. Practice using Leetcode’s Interview tab → Assessment → Select the company for phone or onsite rounds — lnkd.in/g5Tq5rZi

That’s all guys. I know its not easy to crack coding interview in this tough market but following this guide and preparing for all important topics mention in this article can improve your chances a lot.

I hope these tips help you in your preparation. Feel free to reach out if you have any questions or need guidance.

Good luck to everyone on their journey!

P. S. — Preparing for Java certification, grab my book “Grokking the Java Interview” for just $9.99 today.

P.S.S — I am also giving away free coupon to my Java 17 Certification Practice test on Udemy. You can join to test your Java skills and see where you are. If you find the practice test worth your time, please leave ratings and reviews, it will help me attract more readers.

And, if you struggle to solve System design problem, start practicing with Codemia

Master System Design Interviews Through Active Practice

Passively learning system design does not work. Now you can practice system design problems like the way you practice…

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8 Powerful Reasons to Learn AI in 2026 (Before It’s Too Late)

2026-05-10T03:21:51.448-07:00

image_credit — Datacamp

Hello guys, In today’s rapidly evolving technological landscape, the integration of artificial intelligence (AI) into various industries is transforming the way we work and do business.

As the job market becomes increasingly competitive, staying relevant and adaptable is key to ensuring job security.

Whether its coding, programming or anything else, nothing has been left untouched by AI but it’s also a great opportunity to upskill yourself and become more productive.

One of the most effective ways to future-proof your career is by acquiring AI skills and online courses plays a big role in that.

In this article, I am going to share with you 8 Reasons to learn AI in 2026 to secure your job and if you need a resource you can start with the Understanding Artificial Intelligence course on Datacamp, one of my favorite website to learn data and analytical skills including AI.

It has also got great reviews as you can see below:

8 Reasons to Learn AI (Artificial Intelligence) in 2026

Here are the 8 main reason I think everybody should learn AI to not just secure their job but also to become more productive, accomplish more in less time and create better work life balance.

1. Automation is on the Rise

As AI technologies continue to advance, tasks that were once performed by humans are now being automated. Jobs in various sectors, from manufacturing to customer service, are being streamlined with AI solutions.

Learning AI not only allows you to understand and work alongside these technologies but positions you to contribute to their development and deployment.

2. AI’s Ubiquity in Business

Many industries including Software development are leveraging AI to enhance decision-making processes, optimize operations, and improve overall efficiency.

Professionals with AI skills are becoming indispensable assets, as they can harness the power of AI to extract valuable insights from data, leading to informed business strategies and better outcomes.

3. Adaptability in a Changing Job Market

The job market is dynamic, and skills that are highly sought after today might become obsolete tomorrow. AI skills, on the other hand, are versatile and applicable across a wide range of industries.

By investing in AI education, you ensure that you are equipped to adapt to the evolving needs of the job market.

4. Innovation and Problem-Solving

AI is at the forefront of innovation, driving breakthroughs in various fields. Those with AI skills have the ability to tackle complex problems and create innovative solutions. As businesses seek individuals who can contribute to innovation, possessing AI expertise becomes a valuable asset.

5. Emerging Job Roles

As AI continues to evolve, new job roles are emerging. These include AI ethics specialists, AI trainers, and AI explainability experts. Learning AI not only safeguards against job displacement but opens doors to exciting, specialized career paths.

6. Global Competitiveness

In a globally connected world, staying competitive is imperative. Countries and companies are investing heavily in AI research and implementation. Professionals well-versed in AI contribute to their organization’s competitiveness on the global stage.

7. Job Market Demand

The demand for AI talent is skyrocketing. Companies are actively seeking professionals with AI skills, creating a favorable job market for those who invest in AI education. Learning AI now ensures relevance and desirability in the eyes of employers.

8. Adaptive Learning

AI is not a static field; it evolves rapidly. Professionals who embrace AI are more likely to develop a mindset of continuous learning. This adaptability is a key trait in an era where technology and job requirements are in constant flux.

Now that we know why AI is important to learn for Job security and being competitive, then next big question is how to learn AI? We’ll see that in next section.

How can you learn Artificial Intelligence or AI?

Embarking on the journey to learn Artificial Intelligence (AI) requires a strategic approach and the utilization of reliable resources. To start, a solid grasp of fundamental concepts like mathematics, statistics, and programming languages such as Python is crucial.

Platforms like DataCamp facilitate the initial steps, offering courses like “Introduction to Python” and “Introduction to R” to establish a strong foundation in data science, a closely linked field to AI.

Once the fundamentals are in place, transitioning to machine learning becomes the next logical step. DataCamp’s interactive courses like “Machine Learning for Everyone (Understanding MachineLearning” and “Supervised Learning with scikit-learn” provide an accessible entry point to this essential AI component.

As learners progress, delving into deep learning, a subset of machine learning, is facilitated by courses like “Introduction to Deep Learning with Keras” offering insights into neural networks and advanced AI concepts.

Practical application is key in mastering AI, and DataCamp emphasizes this through hands-on projects and exercises. You can apply their knowledge in real-world scenarios, such as building chatbots or engaging in image processing with Keras.

Furthermore, specialized courses like “Introduction to Natural Language Processing in Python” and “Image Processing with Keras in Python” allow learners to explore specific AI domains. Throughout this learning journey, the DataCamp community provides a supportive space for interaction, questions, and collaborative learning.

And, if you want to learn ChatGPT, the flag bearer of AI’s power then you can also checkout Introduction to ChatGPT Datacamp course on DataCamp, its also a free course.

As AI is a rapidly evolving field, staying current with industry trends is essential. DataCamp continuously updates its courses to reflect the latest advancements, ensuring learners have access to the most up-to-date information.

The platform’s structured learning paths, designed for specific roles like data scientist or machine learning engineer, guide learners through a curated sequence of courses, offering a comprehensive and organized approach to mastering AI concepts.

Completion of DataCamp courses not only imparts valuable skills but also provides tangible recognition through certificates, enhancing learners’ resumes and portfolios.

By the way, you need a Datacamp plan to access this course. They have different plans like standard, professionals, and premium which allows access to all projects.

I always recommend the standard plan because it is right-priced and you get access to all the essentials to grow your data skills like 350+ courses, 14 career tracks, 50+ skill tracks, unlimited practice challenges, and live code along. It cost around $25/month on an annual plan and it’s totally worth it.

They are also offering big discount at the moment, you can see all of their current promotion here.

11 Best AI Engineering Courses on Datacamp For 2026

While I already mentioned a couple of best Datacamp AI courses which you can use to learn AI but in case you need more choices then don’t worry. However, here are some highly recommended AI courses on DataCamp:

1. Introduction to ChatGPT

Why Take It: ChatGPT is a great tool to see the power of AI and mastering ChatGPT for right usage will greatly improve your productivity.

Whether you are a programmer, developer, or software engineer, you can use ChatGPT to generate code, test cases, explain code, convert code from one programming language to other and many more task.

This course provides great introduction to ChatGPT. More than 128K people have already joined this course.

2. Introduction to Python

Why Take It: This course is foundational for anyone entering the field of AI. It provides a solid introduction to Python programming, a language widely used in AI and data science.

This is also the most popular course on Datacamp and more than 5 million people have already joined this course, which also makes it probably the most popular Python course on Internet.

3. Understanding Artificial Intelligence

This is one of the best AI course on Datacamp for beginners to learn about AI and its applications. In this 2 hour long video course you will uncover AI’s challenges and how it affect you and society.

A great introduction course for anyone who want to learn AI.

4. Machine Learning for Everyone

Why Take It: This beginner-friendly course introduces the fundamentals of machine learning, making it accessible to those with little prior experience.

It covers key concepts like supervised and unsupervised learning. More than 170K people have already joined this awesome course.

5. Introduction to Deep Learning with Keras

Why Take It: Delving into deep learning, this course uses the Keras library to introduce neural networks and deep learning concepts. It’s a great starting point for those interested in the more advanced aspects of AI.

If you want to learn Kears in 2026 this is one of the best resource to start with.

6. Supervised Learning with scikit-learn

Why Take It: Focused on the widely-used scikit-learn library, this course dives into supervised learning techniques. It’s practical and hands-on, making it an excellent choice for those who want to apply machine learning in real-world scenarios.

Almost 80K students have joined this course and you can join too to learn supervised machine learning with scikit-learn library in 2026.

7. Introduction to Natural Language Processing in Python

Why Take It: This course is tailored for those interested in working with textual data. It covers the basics of natural language processing (NLP) and introduces techniques for text analysis. More than 105,000 student have joined this NLP course in Python on Datacamp.

8. Image Processing with Keras in Python

Why Take It: For those interested in computer vision and image processing, this course using the Keras library provides a practical introduction to working with image data. More than 13,000 people have joined this course to learn Image processing with Keras

9. Unsupervised Learning in Python

Why Take It: Building on the foundation of supervised learning, this course explores unsupervised learning techniques, including clustering and dimensionality reduction. More than 126K people have already joined this awesome course.

10. Building Chatbots in Python

Why Take It: Chatbots are a practical application of AI. This course guides you through building your own chatbot using Python, providing hands-on experience in AI application. It’s also a popular course on Datacamp with more than 66,955 learners already joined.

11. Introduction to Time Series Analysis with Python

Why Take It: Time series data is prevalent in many domains. This course introduces time series analysis using Python, a valuable skill for AI practitioners working with temporal data. More than 54K people have also joined this course to learn Time Series Analysis with Python.

By enrolling in DataCamp’s AI courses, you gain access to expert-led content designed to equip you with the skills needed to thrive in an AI-powered future.

Don’t just keep up with the changes; be a driving force in shaping the future by mastering AI through DataCamp. Your journey to job security and professional success starts here.

Conclusion

In conclusion, the importance of learning Artificial Intelligence (AI) for ensuring job security in the future cannot be overstated. AI is like new electricity and it will transform many businesses.

As industries undergo transformative shifts propelled by automation, professionals who equip themselves with AI skills are not only better positioned to adapt to these changes but also to thrive in an evolving job market.

The multidimensional impact of AI, from driving innovation and global competitiveness to its integration across diverse industries, underscores its centrality in shaping the future of work.

For those seeking a structured and effective pathway to mastering AI, DataCamp stands out as an invaluable resource. With a comprehensive suite of courses tailored to various skill levels and domains within AI, DataCamp empowers learners to acquire hands-on experience and theoretical understanding.

Whether you’re venturing into the foundations of Python, exploring machine learning and deep learning, or delving into specialized areas like natural language processing and image processing, DataCamp’s AI courses offer a holistic learning experience.

Datacamp also runs sales so before joining its better if you can check this Datacamp discount page to see if any discount available for you, it can save you some money while learning AI.

All the best for your AI learning journey.

The Data Engineer's Reading List (7 SQL Books That Matter)

2026-05-08T23:43:27.908-07:00

Hello guys, If you are an experienced programmer or Data Scientist and know how to write SQL queries and database fundamentals but want to take your SQL and database skills to the next level, then you have come to the right place.

Earlier, I have shared the best SQL Courses for beginners, as well as courses to learn MySQL and SQL Server and in this article, I am going to share few more advanced SQL Books any experienced professional can read to take their SQL skills to next level.

This is also the second article about SQL books, In the first part, I have shared some of the best SQL books which are essential to learning SQL queries and fundamentals of database like normalization, indexing, and other design stuff, if you haven’t read it yet, I suggest to do it now. You will find some amazing books to start learning SQL.

In this article, I will share some of the best books to learn advanced SQL programming, which can help you write better SQL queries and understand how databases process those queries.

I strongly believe that books are a great source to learn programming and technology, even though they are rapidly changing. Only books provide the comprehensive coverage of techniques and tips required to master a subject like SQL.

SQL is one of the essential skills for any programmer. Every professional programmer, software engineer, DBAs, Business analyst, and even tester should read a good book on SQL.

Thankfully, there are many good SQL books in the market, but depending upon your existing knowledge and experience level, you should choose the books that will take your SQL skill to the next level.

These books will also help you work across database vendors like Oracle, Microsoft SQL Server, MySQL. Once you know to write the correct SQL query which follows ANSI standard and can be run on any database, you will feel the joy of being a SQL master.

7 Advanced SQL Books for Experienced Data Engineers and Data Scientists

Here are some of the best books to take your SQL skill to the next level. These books will help you learn advanced concepts and help you bridge your gap on fundamentals, like joins, indexes, and other database design concepts like normalization.

1. SQL Cookbook: Query Solutions and Techniques for Database Developers

The SQL Cookbook: Query Solutions and Techniques for Database Developers (Cookbooks (O’Reilly)) 1st Edition by Anthony Molinaro is another fantastic book for experienced programmers and anyone who codes SQL for a living.

I really like what this book says about SQL, that “SQL is a deceptively simple language,” and many programmers and DBAs don’t go far beyond the simple CRUD statements like SELECT, INSERT, UPDATE, etc. DELETE. Still, it is so much you can do with SQL; this is where SQL Cookbook helps you.

It will teach you how to take your SQL skills to the next level by using author Anthony Molinari’s favorite SQL techniques and features.

You will learn about advanced SQL concepts like window functions, powerful, database-specific features such as SQL Server’s PIVOT and UNPIVOT operators, the Oracle’s MODEL clause, and PostgreSQL’s handy GENERATE_SERIES function.

The book also explains the technique of walking a string, which allows you to use SQL to parse through the characters, words, or delimited string elements. In short, one of the great books to take your SQL skill to the next level.

And, If you prefer online courses, you can combine this book with The Complete SQL Bootcamp course by Jose Portilla on Udemy to get the best of both worlds.

The Complete SQL Bootcamp: Go from Zero to Hero

Learn how to use SQL quickly and effectively with this course! You'll learn how to read and write complex queries to a…

trk.udemy.com

2. SQL Performance Explained by Markus Winand

This is another advanced SQL book that I think every Programmer and Data Scientist should read. If you want to know how Database executes your SQL queries? What is a query engine? how indexes work during updating records and searching records? and How to write better SQL queries than this book is for you.

If I say that whatever I know about SQL indexes is due to this book, then it won’t be wrong. I had a lot of misconceptions about database indices and didn’t know how their order can affect performance.

I didn’t even know what table scan, index scan is, and index seeks, and, in general, how does index works in SQL in detail until to learn how indexing work and how they affect query performance.

This excellent book is written by Markus Winand and I thank him a lot for explaining such an essential topic in great detail. One of the must-read SQL books for every programmer, I highly recommend this to every software developer and Data Scientist.

Another great thing about this book is that Markus explains concepts and code in all major databases like MySQL, PostgreSQL, SQL Server, and Oracle, which means you will understand better, no matter which database you are using.

And, if you need an online course to join along with this book then I recommend you to check out the Oracle SQL Performance Tuning Masterclass 2026 course on Udemy. It’s great for developers and DBAs working on Oracle Database.

Oracle SQL Performance Tuning Masterclass (2026)

Welcome the most comprehensive SQL Tuning course on the planet that makes you an expert on SQL & Performance…

trk.udemy.com

3. SQL For Smarties, Fifth Edition: Advanced SQL Programming

Joe Celko’s SQL for Smarties, Fourth Edition: Advanced SQL Programming (The Morgan Kaufmann Series in Data Management Systems) is an excellent book to take your SQL skill to the next level.

He is one of the authorities in SQL and also the author of several popular SQL books, including the SQL Puzzles. He was also a member of the ANSI SQL standards committee for ten years.

This book offers tips, techniques, and guidance on writing effective, sometimes complex, SQL statements using ANSI standard SQL. It touches on topics ranging from database design and normalization to using proper data types to grouping and set operations, optimization, data scaling, and more.

Even if you have read previous editions of this book, you should read the latest revised edition.

Every Programmer who writes SQL queries for a living will find something useful in SQL for Smarties. If you need more practice, Baseball Database Queries with SQL free SQL Query course on Udemy provides good queries for exercise.

Oracle SQL Performance Tuning Masterclass (2026)

Welcome the most comprehensive SQL Tuning course on the planet that makes you an expert on SQL & Performance…

trk.udemy.com

4. SQL Performance Tuning by Peter Gulutzan and Trudy Pelzer

Knowing to write SQL queries is one thing and writing SQL queries that are fast and gives high-performance is another skill. This is also the skill that separates beginners from experienced programmers.

This book provides many practical tips for improving SQL performance on all of the major database systems.

It does not teach you the SQL syntax and how to use a particular SQL command but instead helps you understand the differences between the major DBBS, including the big three, Oracle, SQL Server, and MySQL.

In this book, the author presents several practical tips to improve SQL performance across databases. This book will be a great asset if you deal with different database implementations, whether you are a programmer, consultant, DBA, or technical end-user.

The tips given in this book can help you to decide which tuning techniques will work for which database. One trick that gives better performance in SQL Server doesn’t need to give you the best performance in Oracle.

Essentially, this is what you will learn in this book. You can also combine this book with the Oracle SQL Performance Tuning Masterclass 2026 from Udemy, a great companion for this book.

Oracle SQL Performance Tuning Masterclass (2026)

Welcome the most comprehensive SQL Tuning course on the planet that makes you an expert on SQL & Performance…

trk.udemy.com

Btw, If you have any doubts about the benefit of learning SQL because you are a Java or web developer, let me make it very clear that today everybody wants a full stack developer, i.e., jack of all and a master of at least one skill. This is an essential thing to realize because, as a Java developer.

I have hardly worked on any project where I have done just Java-related work. It’s always a mix of technology like Linux, XML, SQL, Java, and other application developed in other languages and technologies like C++.

The biggest benefit of SQL is that it is a very stable technology, it is not changing at a rapid pace as a programming language, and it will serve you well in many more coming years. This also provides the competitive edge you need to go ahead of other candidates of the same profile.

For example, if you get two candidates with solid core Java knowledge and one with better SQL and UNIX skills, who will you take? Most likely the second candidate.

Anyway, let’s move on to the next book:

5. The Art of SQL by Stephane Faroult

This is another great SQL book for an experienced developer who touches key areas of database and SQL, like designing a database for high performance.

Anyone who built database applications knows that an improperly designed database can be the biggest impediment to flawless application performance.

The book is written in the style of “The Art of War” by Sun-Tzu. Each chapter has similar titles, like “Laying Plans,” “Tactical Dispositions,” “The Nine Situations,” etc.

The chapter titled “Tactical Dispositions” covers the topic of indexing, and in “The Nine Situations,” the author examines several classic SQL patterns and how best to approach them.

If you want, you can also combine this book with an interactive course like Database Design Fundamentals for Software Engineers on Educative to get some hands-on experience with database design.

6. SQL in Nutshell

The SQL in a Nutshell, 3rd edition by Kevin Kline, Daniel Kline, and Brand Hunt, is an essential reference for programmers, analysts, and database administrators (DBAs).

This book offers a great cross-platform syntax reference for SQL. It probably is not the easiest reference to find the exact syntax for one particular DBMS, but it is absolutely the best reference for those who work with multiple DBMSs.

By the way, If you are learning SQL to become a Data Scientists, then I also recommend you check out the SQL for Data Science Course offered by UCDAVIS University of California on Coursera.

It’s an awesome course to really master SQL. Like other Coursera courses, it’s also free-to-audit, which means you can learn for free, but this course is also part of the Learn SQL Basics for Data Science Specialization and you need to pay if you need a Coursera Certificate to show in your LinkedIn profile or Resume.

SQL for Data Science

As data collection has increased exponentially, so has the need for people skilled at using and interacting with data…

coursera.pxf.io

By the way, instead of joining these courses and specialization individually, you can also join the Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects.

Coursera Plus | Unlimited Access to 7,000+ Online Courses

Invest in your professional goals with Coursera Plus. Get Unlimited access to over 90% of courses, Projects…

coursera.pxf.io

7. Grokking the SQL Interview

If are preparing for Software Engineering and Development interviews and you need SQL related questions not just queries but also database related questions from other topics like indexes, joins, group by, aggregation, and window functions then you can also checkout Grokking the SQL Interview book to prepare better.

This book contains frequently asked Java questions from essential topics like

1. SQL and Database Phone interview questions

2. Joins in SQL

3. SQL Query Questions

4. Indexes

5. Group by and Aggregation

6. SQL Date and Time Questions

7. Stored Procedures

8. Triggers and Views

9. Transactions

10. Window Function and CTE

11. Deep Dive on popular SQL Questions

If you are preparing for SQL interviews then I highly recommend you to go through these questions before your telephonic or face-to-face interviews, you will not only gain confidence and knowledge to answer the question but also learn how to drive Coding interviews in your favor.

Grokking the SQL Interview

20% OFF (CODE — FRIENDS20) — $15.92/ $19.90 SQL is an important skill for all kinds of technical interviews…

javinpaul.gumroad.com

This book is one of the specially designed book to prepare you for SQL interviews by answering popular questions. You an also use discount code friends20 to get 20% discount now.

That’s all about some of the best books to learn advanced SQL programming. If you use SQL in your projects, are currently learning SQL, or already worked in SQL for a couple of years, you can read these books to take your SQL skills to the next level.

There is so much to learn about SQL then select, update and insert statements that you will surprise with some of the concepts you will learn in these books, especially when it comes to cross-database knowledge.

I have also shared many free SQL books and courses you can use to start your SQL journey.

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If you like this article and these best advanced SQL books for developers and DBAs, please share them with your friends and colleagues; it makes a lot of difference. If you have any suggestions, feedback, or questions, please drop a comment, and I’ll try to answer.

If you have any other great SQL book you want me to read, then feel free to suggest in the comment; I just love to discover great books.

P. S. — And, If you like to learn from online courses then you can combine these advanced SQL books with The Complete SQL Bootcamp course by Jose Portilla on Udemy to get the best of both worlds.

The Complete SQL Bootcamp for the Manipulation and Analysis of Data

You’ll learn how to read and write complex queries to a database using one of the most in-demand skills — PostgreSQL…

udemy.com

I Tried 50+ Coding Interview Courses on Udemy: Here Are My Top 6 Recommendations for 2026

2026-05-07T21:55:31.553-07:00

Hello guys, bonus season is done and dusted for almost all the companies and we are now in second half of the year, the best time to look for jobs as if you join this time, you will not miss bonuses on your new companies.

If you are also looking for new jobs and preparing for coding interviews and need resources to sharpen your coding, data structure and algorithms, and System design skills then you have come to the right place

In the past, I have shared best DSA books and Courses, best System Design books and courses, and in this article, I am going to share best coding interview prep courses for Software engineers, Java developers and other IT professionals.

Unlike normal data structure and algorithms courses, these courses are especially designed you to prepare for coding interviews.

Which means you will not just learn about data structures and algorithms but also about coding patterns and techniques to solve coding problems in a limited time during live interviews.

They are good resource not just for beginners and freshers software engineers who doesn’t know much about what can be asked on Coding interview but also for experienced developer who have lost touch of DSA basics, System design basics and haven’t practice on Leetcode or solving coding problems lately.

You can join these courses to sharpen your skills and revise key computer science, coding, DSA, and System design concepts before interviews.

They are also created by experts like Andrew Negaoie, Colt Steele, Scoot Barett, Stephen Grider, and quite affordable, you can buy all of these courses on just $50 on Udemy sale which is happening now, which is like a steal.

While I prefer to prepare from multiple courses because learning form different instructor works for but if you just want to join one course, I would recommend you to join the Master the Coding Interview: Data Structures + Algorithms by Andrei Negaoie and ZTM academy.

This is one of the comprehensive, well designed and updated course for coding interview preparation and works for both FAANG, Investment banks and other service and product based companies.

6 Best Coding Interview Courses on Udemy in 2026

Without any further ado, here is my list of curated courses for coding interview preparation. All of these courses are curated from Udemy because I found Udemy as the most affordable place to learn anything.

I have only selected the course where I can connect with the instructor and find his teaching style good enough.

Since I am an experienced Java developer, few courses are may be bit advance for beginners but if you stick around, you will learn a lot and improve your DSA skills significantly.

So, let’s start with the first course for your next coding interview preparation in 2026

1. Master the Coding Interview: Data Structures + Algorithms

This is 19.5 hour long, bootcamp style course is one of the best course to start preparing for your next coding interview. The course is designed to cover all essential data structures and algorithms for coding interviews.

You will not only learn about arrays, linked list, binary tree, graphs, stack, queue, and hash table, but also about various searching and sorting algorithms and BigO notation, which is key to calculate the performance for a given solution or algorithms.

The course not just covers about DSA part but also share common questions asked on Google, Microsoft, Amazon and Meta to give you idea about what you can expect on FAANG interviews.

By the way, if you are preparing for FAANG interviews, you can also check his Master the Coding Interview: Big Tech (FAANG) Interviews course where he talk more about how to crack interviews on FAANG or MAANG companies.

By the way, the course doesn’t end here but also give you tips on how to negotiate your offer because that’s most important step, you can easily get 20 to 30% hike right there if you negotiate well, which could take years otherwise, and I am not saying from the course perspective but form my own experience.

Overall one of the best coding interview prep course you can join online for an affordable price. Talking about social proof, more than 221,098 people have already joined this course and it has on average 4.7 rating which is amazing.

Here is the link to join this course — — Master the Coding Interview: Data Structures + Algorithms

The course also make great use of new feature on Udemy like coding exercises which allows you to practice solving coding interview problems right on your browser, this makes practice really easy as it take away all the friction related to downloading Software and setting up your IDE for practice.

2. Java Data Structures & Algorithms + LEETCODE Exercises

If you are an experienced Java developer looking for a job change but worrying about how to crack the coding interview round, particularly the live coding interview then this course is for you.

In this course, you will prepare for coding interview by not just learning and revising your data structure skills but also by solving LeetCode problems in Java.

Created by Scoot Barett, the course come with 100+ Coding Exercises with Detailed Explanations, this will help you to learn data structure and algorithms faster You will also learn how to use Big O notation to calculate time and space complexity of your solution.

Scott also make good use of animation to explain the complex data structure and algorithms concept, which really work well for beginners and fresh graduates coming out from colleges.

Talking about social proof, more than 44,759 students have already joined this course and it still have 4.7 rating which is phenomenal. If you are a Java developer who want to crack your next coding interview, you should check out this course.

Here is the link to join this course — — Java Data Structures & Algorithms + LEETCODE Exercises

3. The Coding Interview Bootcamp: Algorithms + Data Structures

If you are looking for a coding interview prep course for experienced web developer then this course is for your. Created by one of my favorite Udemy instructor and web developer, Stephen Grider, this 13 hour course is a great resource for web developers.

This is like a crash course on coding interview, where the focus is on solving coding problem, which makes it an ideal course for experienced developers.

In this course, you will master commonly asked interview questions and tackle common data structures used in web development. You will also practice dozens of different challenges on 30+ coding exercises.

Most importantly, you will use Javascript to solve challenging algorithms and coding problems and that’s why I recommend this course to web developers who already knows JavaScript well.

Talking about social proof, more than 102,191 students have already joined this course and it still have 4.7 rating out of 5, which is seriously amazing.

Not many courses can sustain that high level of rating for so many students unless they have real high quality content which this course has.

Here is the link to join this course — — The Coding Interview Bootcamp: Algorithms + Data Structures

4. LEETCODE In Python: Algorithms Coding Interview Questions

So far, I have shared coding interview prep courses for both Java and JavaScript developers but what about Python programmers? Python is one of the the top three programming language and also a good choice for solving coding problem on interviews.

Created by an ex Google engineer, Bit Punch, this course will give you ample opportunity to practice data structure and algorithms questions for interviews at FAANG companies like Google, Facebook, Apple & Amazon.

In this 29 hour long coding interview course for python developers you will solve easy to hard Difficulty problems using different data structures and algorithms. It also covers the most popular interview questions asked by major tech companies

Along the way, you will also learn essential coding interview pattern like two pointers, sliding window and merge interval which can be used to solved 100s of Leetcode problems.

Talking about social proof, more than 18,436 student have already joined this course and it has on average 4.6 rating which is great.

You will greatly improve your problem solving skills by going through this course and that’s why I highly recommend this course to python developers preparing for coding interviews in 2026.

Here is the link to join this course — LEETCODE In Python: Algorithms Coding Interview Questions

5. Data Structures Algorithm DSA | Python + JavaScript LEETCODE

While I have already mentioned one Python and one JavaScript course which also deals with Leetcode problems, if you need and alternative, you can take a look at this course.

Created by Jackson Kalith, this is one of the most comprehensive coding interview prep course with 39 hour of content In this course you will not only learn common Data Structures such as Arrays, Hash Table, Linked List, Binary trees, Graphs but also solve real Coding Interview Questions from Google, Meta, Amazon, Netflix , and Microsoft etc.

The course is divided into a structure to prepare you for coding interviews in 25 days. It’s like a 25 days coding interview bootcamp to master DSA, BigO, Coding Interview Patterns Python JavaScript and get the job you want!

More than 58,484 students have joined already and on average it has got 4.5 rating which is quite nice. If you need more detailed preparation and want to solve problems, particularly real coding problems from Google and Amazon then you can join this course.

Here is the link to join this course — — Data Structures Algorithm DSA | Python + JavaScript LEETCODE

6. JavaScript Algorithms and Data Structures Masterclass

This is another DSA and coding interview course for JavaScript and web developers. Created by legendary instructor Colt Steele, this course should be the very first course beginners should join to learn about common data structures like array, linked list, binary tree, stack and queue.

This 21.5 hours aim to fell the gaps of what you learn in colleges and what is expected on real technical job.

By teaching you common data structures and algorithms and solving coding problem the course aims to improve your problem solving skills.

In this course, you will also learn everything you need to ace difficult coding interviews, including 6 sorting algorithms and learn to implement 10+ data structures from scratch.

While this is a beginner level course, 2 to 3 years experienced web developer can also join this course to improve their problem solving skills and become a stronger developer.

Here is the link to join this course — — JavaScript Algorithms and Data Structures Masterclass

That’s all about the best Coding interview courses on Udemy in 2026. Coding interview is very vast topic and that’s why one course is not enough. I normally join multiple courses from different instructor to understand the topic better.

You can also join a couple of courses from this list to learn about data structures, algorithms, and everything else you will need to crack the Coding interviews in 2026.

All these courses are also very affordable and you can enroll them now for just $10 on Udemy sale. Even if you are busy and don’t have enough time to watch these courses, you can join them now for a lower price and watch them later when you have time.

I do the same and I have already bought 50+ courses on this sale as of now as these sales are now happening less frequently and far between.

By the way, if you want to join multiple course on Udemy, its may be worth getting a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.

Other DSA and Coding interview resources you may like

Thanks for reading this article so far. If you like these best Udemy courses for coding interviews, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — If you need an alternative to Udemy coding interview courses then you can also join ByteByteGo and start learning System Design and Coding Interview concepts, you will thank me later. Make it a goal for the new year and you will surely be a better Software Engineer.

System Design · Coding · Behavioral · Machine Learning Interviews

Everything you need to take your system design skill to the next level

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I Tried 30+ Python and Data Science course on Datacamp - Here Are My Top 10 Recommendations for 2026

2026-05-06T08:21:05.434-07:00

Hello guys, if you are looking for the best and free Datacamp courses to learn Python and SQL and become a Data Scientist in 2026, then you have come to the right place. In the past, I have shared the best udemy courses to learn Python and the best courses for data science.

In this article, I will share both free and best Datacamp courses for Python developers and Data Science learners. Yes, you read it write, Datacamp also offers free courses and they are quality courses which you can take to learn at the skill on your own.

If you don’t know, Datacamp is a great platform to learn Data skills, and it has the best courses to learn Data skills like SQL, Data Science, and Python. They also have data certifications which can be used to learn key skills like Data Analysis and Data Engineering.

They are like CodeCademy for Data skills. They have interactive lessons, quizzes, video lectures, and creative exercises to teach key data skills, and that’s why it’s one of the best places to learn Python and SQL for data science.

Data science is a big field where the student needs to have many programming languages like python language and R.

Also, he needs to learn math and statistics, and they are mandatory to be a data scientist and maybe need to learn machine learning and deep learning to make predictions and all of these skills can be learned from one place called DataCamp.

Data nowadays is the core that keeps companies running and makes decisions based on the analysis of these data. This is the role of a data scientist. The DataCamp platform helps companies and individuals deal and work with data using many different tools and apply machine learning algorithms to these data.

8 Free Datacamp Courses to Learn Python, SQL, R, and Data Science in 2026

Here is my list of best Datacamp courses people can take to learn essential tech skills like Python and SQL and become Data scientists in 2026. There is a lot of demand for Data Scientists and Backend engineers with Python and SQL, and these Datacamp courses will teach you those from scratch.

From my 20 years of experience in tech, I can say that learning Python and SQL is the best decision of your life; unlike many frameworks and programming languages, Python and SQL have been around for more than 25 years, and there is still a great demand for them. Learning them is a good investment for life.

1. Introduction to Python [Free Course]

Python programming language is the language of the future since it is used in too many different industries like web development with Flask and Django frameworks also in data visualization with matplotlib library.

It also covers artificial intelligence using Tensorflow and Pytorch frameworks and Datacamp has created a course for learning this language from the beginning by understanding first the basics of this language like variables and data types, python lists, then moving to functions and importing packages, and finally, working with arrays using NumPy.

The best thing about this Datacamp course is that it's free, all chapters are free and you can access them by creating a free account.

Here is the link to join this free Python course — Introduction to Python

2. Introduction to SQL [Free Course]

If you are looking to be a database administrator or a data scientist, or even a web developer, then you need to learn the SQL language, which is the language that is used to communicate with the database and extract and filter the data to use it.

Datacamp has created an entire course teaching you the structure of the database and how to perform simple SQL queries, learn how to use comparison operators, use the aggregator functions, and finally, sort and group your results.

This is also one of the best free courses from Datacamp and if you are looking for free resources to learn SQL then you should check out this highly engaging SQL course on Datacamp.

Here is the link to join this course — . Introduction to SQL

3. Introduction to R [Free Course]

This is another free course from Datacamp to learn the R programming language for beginners.

Data scientists need to learn maths and statistics to work with data and perform analysis, so alongside learning python, they also need to learn the R language, which is considered easy to learn like python but used a lot in the statistics field and analysis and data visualization.

DataCamp offers a course in the R language, starting by learning the basics like arithmetic and variables and vectors, then learning metrics and performing computation with them, and more.

Here is the link to join this course — Introduction to R

4. Introduction to Tableau [Free Datacamp Course]

Tableau is a widely used software among companies such as Amazon to analyze their data, get insight for decision-making, and share the workbook between the team inside the company. You will learn first to import your data inside the software and its interface.

You will start the visualization process and customize them like slicing and dicing your data with filters. You will also explore how to visualize geographical data.

Finally, learn best practices to tell the story about your data and share your insight.

Here is the link to join this course for FREE — Introduction to Tableau

5. Data Analysis in Excel [Free Course]

Excel spreadsheet is a software developed by Microsoft.M. M. Most people think they are just used to store data and apply some easy functions. Companies are using this software to analyze big data and more.

You will start learning about the data analysis process and exploring the Excel interface. You will learn to sort the tables and nesting functions and learn about cleaning your data using a variety of functions and apply all of what you’ve learned to a real dataset.

Here is the link to join this course for FREE — Data Analysis in Excel

6. Introduction to Power BI [Free]

Another alternative for Tableau software that companies use is Power BI, which Microsoft developed and owned and can give you excellent visual analytics capabilities.

You will first discover the interface, start loading your dataset, and build a data model to understand the relationship between your tables and create some graphs.

Then you will move to create more complex visualizations and customize them. Finally, make customized calculations using DAX, which is a Microsoft formula language.

Here is the link to join this course for FREE — Introduction to Power BI

7. Introduction to Data Visualization with Matplotlib [FREE]

Python is a good language to learn when you want to visualize your data. There are a dozen of the library to achieve this goal, and matplotlib is one of them.

This course will help you learn to use the matplotlib pyplot interface and create a simple visualization and customize that data appearance.

And you will learn how to visualize your time-series data, which helps you clarify the trends and discover the relationship between them. Finally, learn to visualize the quantitative visualization and share your work with others.

Here is the link to join this course for FREE — Introduction to Data Visualization with Matplotlib

8. Introduction to Data Visualization with Seaborn [FREE]

Many available visualization libraries for python language, and another one used a lot for statistical visualization and customization is known as seaborn, which is used a lot among data analysts.

You will learn to create a scatter plot and count and plots using the most capability of seaborn, which is adding a third variable to your plot. Later, you will learn to visualize two quantitative and categorical variables and customize your seaborn plots.

Here is the link to join this free course — Introduction to Data Visualization with Seaborn

All these online courses are free and you can use them to learn Python, SQL, and R. Rest of them are not free because they are very specialized and high-quality courses and you would need a Datacamp subscription to access those courses, but you can always check the first chapter for free by using free Datacamp account.

4 Best Paid Courses to learn Machine Learning and Deep Learning in Datacamp in 2026

So far, we have looked at the free Datacamp course to learn essential data skills like Python, SQL, R programming, Excel, Seaborn, Data Visualization and more but Datacamp also have great in-depth courses which are not free but definitely worth checking.

Here is a list of best Datacamp courses to learn Machine Learning and Deep Learning in depth in 2026:

1. Introduction to Deep Learning in Python

If you want to be an AI engineer or a data scientist, you should definitely learn deep learning used in many fields such as robots, self-driving cars, natural language processing, and more.

DataCamp has created a course that teaches you these skills using the Python language and Keras library, starting with the basics of neural networks and their concepts like the activation function.

Then, it will learn how to optimize your model. Later create a neural network with Keras and evaluate your model.

Here is the link to join this course — Introduction to Deep Learning in Python

2. Introduction to Data Visualization with Matplotlib

Data visualization is where you can convert the data into plots and charts to understand more about your data in one picture. This skill is mandatory if you want to be a data scientist, data analyst, or even an AI engineer.

DataCamp has created a course that teaches you this skill using Python and matplotlib. It starts by understanding the matplotlib interface, creating some plots and customizing them, plotting time-series data and bar charts, and statistical plotting.

Here is the link to join this course — Introduction to Data Visualization with Matplotlib

3. Supervised Learning with scikit-learn

In supervised learning, you use labeled data to train your model and make a prediction, so you have to learn machine learning if you are planning to be a data scientist and this course teaches you how to perform this using the sci-kit-learn.

You will also learn how to solve classification problems then move to solve problems with regression. Later, learn how to evaluate your model and improve it.

Here is the link to join this course for FREE — Supervised Learning with scikit-learn

4. Unsupervised Learning in Python

Unsupervised learning is another type of machine learning that you need to learn. Here, the model will analyze and cluster unlabeled datasets and be used in customer segmentation and grouping your data according to its similarity.

DataCamp has created a course on unsupervised learning using the sci-kit-learn and scipy, starting by learning the clustering techniques and applying them to the stock market prices, then learning how to visualize hierarchy and learn the dimension reduction techniques more.

Here is the link to join this course — Unsupervised Learning in Python

By the way, you would need a Datacamp account to access this course. Creating a Datacamp account is free for learners and you also get free access to all of their 350+ courses first chapter.

It also comes with 7 projects but for the best learning experience, I recommend their personal plan which you can get for just $25 per month. This gives access to all of their courses and projects as well as certifications.

Note — They are also offering a whopping 63% discount now, you can take advantage of that to level up and learn in-demand Data Skills in 2026

That’s all about the best and free Datacamp courses to learn Python, Data Science and other in-demand Data skills in 2026. Whether you are a university student learning Python, SQL, and Data science or just an amateur who wants to learn this field through online courses and get certified, the certificate of DataCamp is 100% worth it.

You can include them in your resume if you are looking for a job. They are also very engaging and hands-on to learn these in-demand essential skills. I highly recommend Datacamp to anyone learning Python, Data Science, or SQL.

Other Python Articles and tutorials you may like:

Thanks for reading this article so far. If you find these best Python, SQL, and Data science training courses from DataCamp useful, please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — If you are looking for a free Datacamp course to learn Data Science, I suggest you check out Data Science for Everyone, a free course from Datacamp that provides an introduction to Data Science without any coding headache. Great for beginners and experienced people who want to learn Data Science in 2026

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I Tried 15+ Datacamp Certifications: Here Are My Top 3 for Data Analyst in 2026

2026-05-05T06:52:09.381-07:00

Hello friends, if you want to become a Data Engineer, Data Scientist, or Data Analyst in 2026 and looking for online certifications then you have come to the right place.

In the past, I have shared best free Datacamp courses for Python and Data Science, as well as best paid Datacamp courses and in this article, I will share the top 3 DataCamp certifications for 2026, namely Datacamp Data Analysis certification, Data Science certification, and Data Engineering certification, examining their relevance, industry recognition, and the skills they assess.

If you don’t know, DataCamp, a leader in data science education, offers a range of certifications designed to equip learners with the skills needed to succeed in the industry.

Though, if you are just starting I suggest you to first go through Data Analysis certification and only when you are comfortable with analyzing large set of Data, go for Data Science certification.

Many people think that Data Science is easy due to number of courses, and online projects but its not true, you need to understand a lot of concepts and tools and also your Data to apply any kind of neural network on it.

I have seen many beginners struggling to complete common Data Science task because they don’t have solid background on Data Analysis like cleaning data, normalizing data or enriching data. You can avoid that by following the natural order of first learning Data Analysis.

Why Certification? Do you really need it?

Before we go into the list of best Datacamp certification, let’s talk about certifications and do you really need it? Well, many people asked me do I really need a certification to step into Data Analysis or Data Science?

Can’t I start my career without any certification? and my answer to them is that its not mandatory but a certification will help you to acquire essential Data Skills which are required for any kind of data related job.

Now, let’s see few more reasons on how certification can help you learn better and achieve your dream job faster.

1. Industry Validation

In an era where skill validation is paramount, certifications serve as a tangible proof of your capabilities. DataCamp certifications like this Data Analysis certification, are not just endorsements; they are recognized by industry leaders, offering a stamp of approval that can set you apart from other candidates.

Employers often use certifications as a quick benchmark to gauge a candidate’s expertise, making it an essential component of your professional profile.

2. Skill Mastery and Confidence

Certifications are a structured way to ensure you have mastered a particular set of skills. The process of preparing for an exam requires a deep dive into the subject matter, solidifying your understanding and building confidence in your abilities.

This confidence is not only valuable in job interviews but also in the day-to-day challenges of a data professional and I can say all this from my own experience, most of the things I have learned is because I prep reared for certification.

3. Career Advancement

Certifications open doors to new opportunities and career advancements. Whether you are looking to enter the field or climb the corporate ladder, having DataCamp certifications on your resume can make a significant difference. Employers are more likely to consider candidates with validated skills, and certifications provide that validation.

Why Get Certified with DataCamp?

Now that we have sorted that how certification can help you to learn Data Science better and faster due to their well structured and comprehensive preparation, now question comes why Datacamp certification ?

While there are no shortage of Data certification on internet, for example you have Google Data Analytics certification on Coursera which is from Google, what is the unique thing Datacamp certification offer? Are they really worth it?

Well, here are few things which makes Datacamp certification worth your time and effort:

1. Industry Recognized Certifications

DataCamp’s certifications are developed in collaboration with industry leaders, ensuring alignment with the latest industry demands. This partnership guarantees that certified individuals possess the skills necessary to excel in real-world scenarios.

Employers recognize and value certifications that are a result of such collaboration, providing candidates with a distinct advantage in the job market.

2. From the Leader in Data Science Education

With a track record of upskilling over 7 million learners worldwide, DataCamp is at the forefront of data science education. The platform offers a comprehensive learning experience, covering core skills required for certification.

Whether you are a beginner or seeking advanced expertise, DataCamp’s certification programs cater to a diverse audience, making it a reliable choice for individuals at any stage of their data science journey.

3. Differentiate Yourself from the Pack

In a competitive job market, standing out is crucial. DataCamp-certified candidates rank among the top 4% in searches on the Jobs platform, significantly increasing the likelihood of securing high-profile interviews.

The certification not only validates your skills but also serves as a tangible testament to your commitment to continuous learning and professional development.

4. Tailored Learning Paths

DataCamp’s certification’s are not just about passing an exam; they are about the journey of learning. The platform offers tailored learning paths that guide you through the essential skills needed for each certification. This structured approach ensures that you not only earn the certification but also acquire a comprehensive understanding of the subject matter.

5. Real-world Application

One of the strengths of DataCamp certifications is their emphasis on real-world applications. The skills tested are not just theoretical but are directly applicable to the challenges faced by data professionals in their roles. This practical approach enhances the value of the certification, as it signifies your ability to tackle actual job responsibilities.

You can learn more about datacamp certification here.

3 Best DataCamp Certifications to Take in 2026

Now that we have good understanding of how a certification, particularly Datacamp certification can help you to learn data skills faster and better, its time to see the top 3 Data related certification you can acquire on Datacamp platform.

Datacamp offer two kind of certifications, Associate Certification and Professional Certification. Associate certification is best for anyone who are just starting out as it aligns with entry-level job expectations.

On the other hand Professional certification is the next step up and aligns to skill level expected at 2+ years of experience.

1. Data Analyst Certification

This is one of the first Datacamp certification I suggest you to take a look as Data Analysis is the first step towards Data Science.

You must know common data related task like sourcing, cleaning, normalization, and enrichment before you can apply any neural network on your data, and this certification will help you on that.

As I said before, there are two certification on each category, one is for Associate level which is for less experienced folks like beginners and other is for professional developer.

If you don’t know, A Data analyst sits between business intelligence and data science. They provide vital information to business stakeholders and this certification test your Data analysis skills like:

Associate Level

Data Management
Exploratory Analysis
Visualization
Analytic Fundamentals
Communication

And,

Professional Level

Advanced Visualization Techniques
Predictive Modeling
Data Interpretation for Business Decision Making

In short, DataCamp’s Data Analyst Certification offers a structured and comprehensive pathway for individuals aspiring to become proficient data analysts.

By combining foundational knowledge with advanced skills, this certification not only equips candidates with the technical know-how but also prepares them for the practical challenges of the ever-evolving world of data analytics.

They also have several courses like Data Science for Everyone, Data Visualization for Everyone, and Introduction to SQL which you can use to prepare for this certification.

Here is the link to join this program — Data Analyst Certification

2. Data Scientist Certification

Once you have acquired the Data Analyst certification, you can aim for this one. This one is meant for Data Scientist. If you don’t know, A Data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data and these are the skills which will be teted on this certification.

Here are the key skills which are tested on associate level certification

Data Management
Exploratory Analysis
Model Development
Statistical Experimentation
Programming for Data Science

and here are few more skill which are tested at professional level.

Professional Level

Machine Learning
Big Data Analytics
Advanced Statistical Modeling

Similarly, you can use courses like Data Science for Everyone and Introduciton to Python to prepare well for this exam. There are many more courses which you can find on Datacamp website which can also help with preparation.

Here is the link to join this program — Data Scientist Certification

3. Data Engineer Certification

This is the 3rd certification which you can take on Datacamp. Unlike previous two certificates this one is only available at associate level and here are the key skills which are tested on this certification.

Data Management
Programming for Data Engineering
Exploratory Analysis

You can use datacamp courses like Understanding Data Engineering and Introduction to importing Data into Python to prepare for this certification.

Data engineers are responsible for the collection, storage and pre-processing of data. They need to ensure that the right data is available to the right individuals in an organization in a format that is easily accessible and usable.

Here is the link to join this certification — Data Engineer Certification

Which Data Certification Should you Start with?

If you are just entering the data science and analytics field then starting with the Data Analyst Certification is highly recommended.

This foundational certification covers fundamental skills, including data management, exploratory analysis, and communication, providing a solid base for further specialization.

Building a strong analytical foundation is essential before progressing to more advanced certifications.

The logical progression from Data Analyst to Data Scientist certifications reflects the increasing complexity and depth of skills required. Starting with the Data Analyst Certification allows individuals to master essential skills before delving into the intricacies of data science.

This step-by-step approach ensures a more comprehensive understanding of the subject matter and better preparation for the challenges posed by advanced certifications.

Conclusion

That’s all about the best Datacamp certifications you can join in 2026. In this data-driven world, certifications play a pivotal role in establishing your credibility and proficiency as a data professional.

DataCamp’s certifications, with their industry recognition, tailored learning paths, and real-world application, are valuable assets in the pursuit of a successful career in data science and analytics.

Whether you are just starting or looking to advance your skills, the top 3 DataCamp certifications for 2026 offer a clear path to success, providing a competitive edge in the dynamic and ever-growing field of data.

The great thing about Datacamp is that you can do all 3 certification by just getting one Datacamp premium subscription which cost around $25 but you can get now for just $12.40 on sale.

I generally recommend the premium plan because it is right-priced and you get access to all the essentials to grow your data skills like 350+ courses, 14 career tracks, 50+ skill tracks, unlimited practice challenges, and live code along. It cost around $25/month on an annual plan and it’s totally worth i

And, the best thing is that they are offering a SALE now where you can get the subscription plan for a big 50% discount.

All the best with your learning and Data Science journey !!.

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I Tried 30+ AI and Machine Learning Courses on Datacamp: Here Are My Best 8 Recommendations for 2026

2026-05-04T07:13:30.533-07:00

Hello guys, if you want to learn AI and Data skills in 2026 from scratch then there is no better place than Datacamp.

I have tried many places like online courses from Udemy, Coursera,, DataCamp, Frontend Masters, Udacity, and ZTM Academy, but for a complete beginner, I found DataCamp one of the best place to learn due to their highly beginner friendly curriculum and focus on practice and repetition.

Earlier, I have shared 10 Free Datacamp courses to learn Python and in this article I am going to share 8 best Datacamp courses to learn AI, ChatGPT, and Machine Learning in 2026.

In this fast changing landscape of artificial intelligence (AI) and machine learning (ML), staying up-to-date with the latest advancements is crucial for both beginners and seasoned professionals.

DataCamp, a well-known platform for online data science education, offers a variety of courses to help you master AI, ChatGPT, and ML techniques. In this article, we will explore some of the best DataCamp courses that you can use to learn in-demand AI, ChatGPT, and Machine Learning Skills in 2026.

Now if you are wondering whether learning on DataCamp is really worth it or not then let me tell you that DataCamp is a fantastic platform for diving into data science, AI, and machine learning.

One of the coolest things about it is the hands-on learning approach. You get to do coding exercises right there on the platform, which is super helpful for really understanding the concepts.

They’ve got this gamified thing going on too. You earn badges and achievements as you progress through courses, making it feel like you’re unlocking levels in a game. It’s a fun way to keep you motivated and engaged while you learn.

What’s really neat is that a lot of the courses are project-based. You’re not just reading and watching videos — you’re actually working on projects that mirror real-world scenarios.

This kind of practical experience is gold when you’re trying to apply what you’ve learned to actual situations.

Oh, and the instructors know their stuff. They’re experts in data science and AI, so you’re learning from the best. And the best part? You can learn at your own pace.

The platform is web-based, so you can access it whenever you have time. Each lesson is in bite-sized chunks, which is great for busy schedules.

Now, that you know what is Datacamp and what does it offer, let’s jump into the courses you can take on Datacamp to learn AI, ChatGPT, and Machine Learning in 2026.

Though, you want to do just one thing now, you can join Datacamp now, they are offering 50% discount, which is a bargain to join this awesome platform. You will thank me later.

8 Best ChatGPT, AI, and Machine Learning Courses on DataCamp in 2026 (Free and Paid)

Without any further ado, here is the list of my favorite Datacamp courses to learn essential AI and Data skills. I have also included courses to learn about ML in depth and you can access first chapter of all these courses for free by signing up for their free plan.

1. Introduction to ChatGPT Datacamp [FREE]

ChatGPT is probably the hottest technology now. Ever since it was launched last November, it has take the world by storm and new application of ChatGPT and AI is coming every passing day.

As technology advances, natural language processing (NLP) and conversational AI are becoming increasingly relevant and it make sense for everyone to learn about ChatGPT.

This Datacamp course introduces you to ChatGPT, a state-of-the-art language model developed by OpenAI. In this course you will learn how to interact with and deploy ChatGPT, unlocking the potential to create chatbots, virtual assistants, and other NLP-driven applications.

Talking about social proof, more than 93 people have already joined this course and it has impressive 4+ review.

Here is the link to join this course — Introduction to ChatGPT DataCamp

2. Understanding Artificial Intelligence

This is one of the newer course on Datacamp to learn about AI and its applications. In this 2 hour long video course you will uncover AI’s challenges and societal implication.

You will also learn about Machine Learning, Deep Learning, NLP, generative models and more. Talking about the social proof more than 3709 people have joined this course to learn about AI on Datacamp.

Here is the link to join this course — Understanding Artificial Intelligence

3. Machine Learning with scikit-learn

If you don’t know Scikit-learn is a popular Python library for ML and data analysis. This course provides a comprehensive introduction to scikit-learn, covering fundamental concepts of ML and guiding learners through practical hands-on exercises.

By the end of the course, you will be equipped with the skills to create and evaluate ML models using scikit-learn, making it an essential foundation for your AI journey.

Talking about social proof, this is one of the most popular Machine Learning course on Datacamp with more than 320,000 people already joined this course. On top of that it has on average 4.5+ rating which is amazing.

Here is the link to join this course — Machine Learning with scikit-learn

4. Introduction to Deep Learning in Python

If you want to learn Deep Learning with Python and looking for a Datacamp online course then this course is for you. Deep learning has revolutionized AI, enabling computers to perform tasks that were once thought to be reserved for human intelligence.

This course introduces you to neural networks, a fundamental building block of deep learning, and guides you through creating your own neural network models using TensorFlow and Keras.

Delve into the exciting world of deep learning with Python in this introductory course. Talking about social proof, more than 233,000 people have already joined this course

Here is the link to join this course — Introduction to Deep Learning in Python

5. Understanding Machine Learning

New to the world of machine learning? This course is a perfect starting point to learn ML in Datacamp. In this course, you will gain a clear understanding of the core concepts and techniques in machine learning, such as supervised and unsupervised learning, feature engineering, and model evaluation.

Through interactive exercises, you’ll develop the knowledge needed to embark on more advanced ML projects.

Here is the link to join this course — Understanding Machine Learning

6. Supervised Learning in R: Classification

R is a powerful programming language for statistical computing and graphics. This course focuses on supervised learning techniques in R, specifically classification.

Learn how to build and evaluate classification models, a fundamental skill for AI and ML practitioners. By the end of this course, you’ll be able to apply your knowledge to real-world classification problems.

Here is the link to join this course — Supervised Learning in R: Classification

7. Machine Learning with caret in R

Continuing with R, this course explores the caret package, which streamlines the ML process by providing a consistent interface to various ML algorithms.

Through hands-on examples, you’ll become proficient in using caret to preprocess data, tune models, and compare their performance. This skillset is invaluable for anyone aiming to leverage R for ML projects.

Talking about social proof, more than 54,000 people have already joined this course to learn Machine Learning with R on Datacamp.

Here is the link to join this course — Machine Learning with caret in R

8. Machine Learning with Tree-Based Models in Python

If you don’t know, Tree-based models are powerful tools in the ML toolkit. This course, taught in Python, dives deep into tree-based algorithms such as decision trees, random forests, and gradient boosting.

In this Datacamp course you’ll learn how to build, optimize, and interpret these models, gaining practical insights into their applications and strengths.

Talking about social proof, More than 74K people have already joined this course and it has on average 4.5 rating from close to 34 reviews.

Here is the link to join this course — Machine Learning with Tree-Based Models in Python

Pricing and Subscription plan

You can access all of these courses for free by signing up for Datacamp free plan which gives you access of all of their 440+ courses, projects, professional profile and job board, but for full access I recommend their standard plan which cost around 25$ but give access of their full content library, all certificates and projects.

DataCamp also has an amazing thing called “Workspace.” a new subscription plan which allows you to write code, analyze data and visualize your analysis all through the comfort of your web browser. Plus, you can share your work and collaborate with others.

With ready-to-use datasets and coding templates. It’s the perfect tool for going from learning to doing data data science. With ready-to-use datasets and coding templates, it’s the perfect tool for going from learning to doing data science.

For data science teams, Workspace provides easy ways to collaborate so you can turn data into insights even faster.

Conclusion

That’s all about the best online courses to learn AI, ChatGPT, and Machine Learning on DataCamp in 2026. DataCamp offers an impressive selection of free courses that cover various aspects of AI, ChatGPT, and machine learning.

Whether you’re a novice or an experienced practitioner, these courses provide a solid foundation and hands-on experience to help you excel in the dynamic field of AI and ML.

By enrolling in these best Datacamp courses, you’ll be equipped with the knowledge and skills needed to tackle real-world challenges and contribute to the exciting advancements in technology.

If you are serious about building your Data and AI skills in 2026 then I highly recommend you to go for standard plan which cost around 25$ but give access of their full content library, all certificates and projects. It’s definitely worth your time and investment.

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Thanks for reading this article so far. If you like these best DataCamp courses to learn AI and Data Skills in 2026 then please share with your friends and colleagues. Most of these courses can be tried using free plan. If you have any questions or feedback, then please drop a note.

P. S. — If you are looking for free online platforms to Learn Coding for FREE, don’t worry; you will find a lot of free courses on Udemy. If you need more options, you can also check this list of 21 websites to Learn Coding for FREE.

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