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The System Design Learning List for 2026 (6 Courses That Matter)

2026-04-19T06:52:00.000-07:00

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?

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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

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7 Best Cybersecurity Courses If You Want to Stay Relevant in 2026

2026-04-18T21:25:00.000-07:00

Hello guys, if you want to learn about Cyber Security and become a successful Cyber security professional and looking for best resources to learn essential skills you need to become a Cyber security engineer or analyst then you have come to the right place

Earlier, I have shared best Cyber security courses, books, and a complete Cyber security Analyst roadmap and today I am going to share best Cyber security courses you can join on Udemy.

Why Udemy? Well, when I shared cyber security courses and certifications last time, many of my reader ask me about more affordable option and there is no other platform online which can match Udemy when it comes to affordability. .

Udemy is the only platform where you will find comprehensive and high-quality technical courses at an affordable price of $10 during their sale like the one they are running now.

I usually buy a lot of online courses during these sales and then keep learning from them throughout the year.

I recently bought more than 50 courses on topics like Cybersecurity, System Design, Software Architecture, Generative AI, and Coding Interview preparation.

These courses are from that collection, you can join them to learn all the essential skills, tools, and concepts to succeed as a Cyber Security Engineer or Analyst.

Though, if you are in hurry and can’t read the full article, I suggest you to go and join The Complete Cyber Security Course by Nathan House you will not regret it and thank me alter.

7 Best Cybersecurity Courses on Udemy in 2026

Without any further ado, let’s checkout the best Cyber security courses you can join on Udemy in 2026. These are super high quality courses, created by experts like Nathan House and you can also get it for very affordable price right now.

1. The Complete Cyber Security Course : Hackers Exposed!

This is probably the most popular Udemy course to learn Cyber Security and why not? It’s created by Nathan House, a Cyber Security expert and CE of StationX, a leading Cybersecurity learning platform, and it covers the topic in so much detail that you would need multiple modules.

In this course, you’ll learn advanced about advanced tools and techniques to defeat various online threats, including advanced hackers, trackers, malware, and government mass surveillance.

The course also covers operating system security, privacy, and patching across Windows, MacOS, and Linux. You’ll explore the threat landscape, delving into darknets, dark markets, zero-day vulnerabilities, exploit kits, malware, phishing, and more.

Additionally, you’ll master encryption through an easy-to-follow crash course, empowering you with the knowledge to secure digital environments effectively.

Talking about social proof, more than 287,000 people have already joined this course and it has unbelievable 4.5 rating from close to 59K participants.

Here is the link to join this course — — The Complete Cyber Security Course : Hackers Exposed!

2. Learn Ethical Hacking From Scratch 2026

This is another awesome course on Udemy which you can join to learn about Ethical Hacking and how to security your application, company and infrastructure from them.

Created by Zaid Sabih, an Ethical Hacker, Computer Scientist & CEO of zSecurity, this course will teach you everything you need to learn to become a successful Ethical Hacker in 2026.

This comprehensive course has over 145 videos and 15+ hours of instruction to teach you ethical hacking and cybersecurity from scratch.

In this course you will learn about 30 hacking tools, such as Metasploit, Aircrack-ng, and SQLmap, you’ll engage in 85+ hands-on real-life hacking examples, all without requiring any prior knowledge.

You’ll learn to hack and secure both WiFi and wired networks, hack cloud servers, create backdoors, and hack Windows systems. The course takes you from a beginner to a high-intermediate level, covering web application vulnerabilities, network hacking, and penetration testing.

You’ll explore various hacking fields and install a hacking lab with necessary software on Windows, OS X, and Linux. You’ll also discover and exploit server vulnerabilities, hack secure systems using client-side and social engineering, and secure systems against all demonstrated attacks.

The course will also teach you about installing and using Kali Linux, mastering Linux basics and commands, and using the Linux terminal. You’ll learn network fundamentals, how devices interact, and how to run network attacks without knowing the key.

Talking about social proof, more than 700K people have already joined this course and it has on average 4.6 rating which is just phenomenal for any course. .

Here is the link to join this course — — Learn Ethical Hacking From Scratch 2026

3. The Complete Cyber Security Course : Network Security!

This is another course from Nathan where he talk about Network security, one of the most critical component of Cyber Security.

Created by Nathan House, this comprehensive course provides an advanced practical skill-set in network security, protecting against threats such as advanced hackers, trackers, and Wi-Fi attacks.

It covers the latest methods and information, preparing you for a career as a cybersecurity specialist. You will learn to identify security vulnerabilities across entire networks using hacking techniques and vulnerability scanning.

The course also teaches you how to configure firewalls on Windows, MacOS, and Linux, architect secure networks, and perform network monitoring with tools like Wiresharkand Tcpdump.

It addresses online tracking by corporations and nation-states, search engine privacy, and best practices for authentication and password management.

Upon completion, you can also earn a certificate signed by the instructor, Nathan House, for CPE credits.

Here is the link to join this course — The Complete Cyber Security Course : Network Security!

4. Cyber Security: From Beginner to Expert (2026)

This is another course you can join on Udemy to learn Cyber Security from scratch. Created by Logix Academy, this course will teach you all the security best practices, tools, and techniques a Cyber security engineer should know.

In this Cyber Security course on Udemy you will learn about security governance, network security, cyber attacks, web application security, and malware, with a focus on practical cybersecurity skills through hands-on labs.

It also prepares you for cybersecurity interviews by covering common questions and effective responses.

Additionally, the course helps you get ready for in-demand certifications like CompTIA Security+ and CEH, equipping you with the knowledge and skills needed to excel in the field of cybersecurity.

This is also one of the highest rated Cyber security course on Udemy with on average 4.6 rating from 52,548 students.

Here is the link to join this course — — Cyber Security: From Beginner to Expert

5. CompTIA CySA+ (CS0–003) Complete Course & Practice Exam

If you are looking for an online course to prepare for CompTIA Security+ certification then this course is for you. Created by Jason Dion, a cyber security expert and ex college professor.

He has done almost all the security certification you can think of like Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), Certified Network Defense Architect (CNDA), Digital Forensic Examiner (DFE), Digital Media Collector (DMC), CySA+, Security+, Network+, A+, PRINCE2 Practitioner, and ITIL, and it shows in this course.

In this certification prep course, you will learn how to pass the CompTIA CySA+ (CS0–003) certification exam, and getting a deep understanding of security operations, threat and vulnerability management, and cyber incident response.

You’ll also learn how to establish a robust security architecture for your networks and gain insights into various cybersecurity tools available on the market, understanding their applications in different scenarios.

Through comprehensive instruction and practical examples, you’ll be well-prepared to excel in the CompTIA CySA+ certification and enhance your expertise in cybersecurity.

Talking about social proof, more than 23,735 people have already joined this course to prepare for CompTIA Security+ certification.

Here is the link to join this course — — CompTIA CySA+ (CS0–003) Complete Course & Practice Exam

6. Information Security Management Fundamentals for Non-Techies

If you want to learn about Information Security and looking for an affordable online course then you can join this Info security course on Udemy in 2026.

Created by Alton Teaches LLC, this 12. 5 course is great to start learning key Information security concepts.

Here are things you will learn in this course:

Understand the Fundamentals of Information Security Management
Understand different aspects of IT Security
Be Prepared for More Advanced Information Security Courses
Better Protect Your Business & I.T. Infrastructure

Talking about social proof, more than 54,619 professionals have already joined this course to learn Information security and it has got on average 4.6 rating which is just amazing.

Here is the link to join this course — — Information Security Management Fundamentals for Non-Techies

7. The Complete Hands-On Cybersecurity Analyst Course

If you are looking for a well structured course to become a Cybersecurity Analyst in 2026 then this Udemy course is for you.

Created by Mike S. and Jose G. this is an hands-on course to learn all the tools, techniques, and best practices you need to survive in Cybersecurity field.

This one is similar to Google’s Cybersecurity Professional Certificate on Coursera.

For example, you will learn a wide range of cybersecurity skills including basic through advanced skills; ranging from Linux basics to penetration testing and malware analysis.

You will also learn how to build home lab virtual environments for hands-on learning, testing tools safely, enhancing skills, and simulating real-world cybersecurity scenarios.

More importantly you will get practical experience from projects and labs that can be added to resume/cv and portfolios.

Talking about the social proof, more than 3,023 people have already joined this course in very quick time and it has rave reviews with on average 4.7 rating out of 5, which makes it one of the highest rated Udemy course on Cyber security.

Here is the link to join this course — — The Complete Hands-On Cybersecurity Analyst Course

That’s all about the best online courses to learn Cyber Security in 2026. All of these courses are also very affordable and you can get it for just $10 now on Udemy sale.

Even if you don’t have time to complete the course now, you can enroll for a low price now and then when you have time, you can complete it.

Other Certification Resources for IT Professionals and Java Programmers

Thanks for reading this article so far. If you like these Cyber Security online 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 are looking for a free course to learn cyber security in 2026 then you can start with this Cyber Security Course for Beginners course on Udemy. It’s completely free and if you need more choices you can also find it here

Top 5 Free Cyber Security Courses for Beginners to Learn in 2026 - Best of Lot

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The Software Architect's Reading List for 2026 (10 Books That Matter)

2026-04-17T20:59:00.000-07:00

If you’ve been a senior engineer, software developer or software architect for a few years, you know that writing code is only a small part of the job. Understanding how to design scalable, reliable systems and architect maintainable software is what separates senior engineers from the rest.

Over the past few years, I’ve read more than 20 books on Software Architecture and System Design — some were too theoretical, others were gold mines of real-world wisdom.

In this post, I’m sharing the top 10 books that truly shaped how I think about architecture and system design.

These aren’t just books you skim through. Each of them offers practical insights, proven architectural patterns, and lessons learned from real-world systems like Google, Amazon, and Spotify.

Whether you’re preparing for a system design interview, trying to become a software architect, or just want to level up your design thinking, these books are worth your time.

Before we start, if you want to complement your reading with hands-on learning, check out these excellent resources:

ByteByteGo — System Design videos, case studies, and a framework for interviews.
Design Gurus — Interactive system design problems and mock interviews.
Exponent — Mock interviews and system design lessons from FAANG engineers.
Educative — Text-based, interactive system design courses.
Codemia.io — A Newer platform focused on real-world design prep.
Udemy — Great for budget-friendly system design and architecture courses.

System Design · Coding · Behavioral · Machine Learning Interviews

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

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Codemia | Master System Design Interviews Through Active Practice

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Top 10 Software Architecture Books for Experienced Developers

Here are the 7 books you can read to transition from a senior software engineer to Software architect role:

1. Head First Software Architecture

If you’re just getting into architecture, this is the perfect place to start. It follows the signature Head First style — engaging visuals, brain-friendly exercises, and practical examples that simplify tough topics.

After reading Head First Design Patterns and Head First Object-Oriented Analysis, I had high hopes for this one — and it didn’t disappoint.

It breaks down software architecture fundamentals in a way that’s approachable even if you don’t have a formal background in architecture.

If you’re aiming to become a tech lead or architect, this book will give you a solid foundation to think beyond code and into system-level decisions.

2. Software Architecture: The Hard Parts — Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani

This is not a book you read — it’s one you study.

In Software Architecture: The Hard Parts, the authors go beyond diagrams and buzzwords to show you how to make trade-off decisions in complex distributed systems.

You’ll learn how to evaluate coupling versus cohesion, how to think about data ownership in microservices, and how to design architectures that evolve safely over time.

The book emphasizes that architecture is about managing trade-offs, not finding perfect solutions — a mindset that separates real software architects from senior developers.

If you want to build systems that are scalable, maintainable, and grounded in real-world constraints, this book will reshape how you think about architecture decisions.

3. Fundamentals of Software Architecture — Mark Richards and Neal Ford

If you’ve ever wondered how to transition from a strong senior engineer to a true architect, Fundamentals of Software Architecture is the bridge.

This book clearly explains what software architecture really means — beyond UML diagrams and buzzwords. You’ll learn architectural styles, quality attributes, communication patterns, and how to reason about systems as a whole.

What makes it exceptional is how it blends theory with practice. Richards and Ford draw on decades of experience to show how to think like an architect without losing your developer instincts.

It’s one of the best books to read early in your architecture journey — especially if you’re trying to understand how design, communication, and technical strategy fit together.

4. Designing Data-Intensive Applications by Martin Kleppmann

This is the most comprehensive and technical book on the list — often referred to as the Bible of modern system design.

Martin Kleppmann covers everything from data storage and replication to distributed systems, stream processing, and scalability.

It’s not an easy read, but it’s worth every page. The concepts here will make you see architecture in a whole new light.

If you pair this with Mastering the System Design Interview by Frank Kane (Ex-Amazon), you’ll not only understand how systems work but also how to explain them clearly in interviews.

There is also a newer edition of this book which is now available and I recommend reading that.

5. System Design Interview — An Insider’s Guide

Written by Alex Xu, this is the definitive book for system design interviews. The diagrams and step-by-step breakdowns are incredibly helpful for visual learners.

Even better, Alex has expanded this into an entire ByteByteGo platform, where you’ll find in-depth videos, frameworks, and new content like “Design YouTube” and “Design WhatsApp”.

If you’re actively preparing for system design interviews, this is a must-read — and the ByteByteGo lifetime plan is easily the best long-term value for continuous learning. They are also offering a rare 50% discount now.

If you get the platform access, you will not just get the content of these two books but also all of their 7 books, including OOP Design, ML System Design, and Generative AI System, Coding interview patterns tec.

6. Software Engineering at Google

This isn’t just a book about coding — it’s a deep dive into how Google scales its engineering culture.

It discusses code health, team design, testing at scale, and the trade-offs engineers face every day. You’ll learn what “software engineering over time” really means and how Google balances velocity with quality.

It’s a must-read for senior developers and tech leads who want to grow beyond individual contribution and understand how massive systems evolve sustainably.

7. Clean Architecture

Written by Robert C. Martin (Uncle Bob), this is part of his legendary “Clean Code” trilogy.

It focuses on designing systems that are flexible, testable, and easy to maintain — all through timeless architectural principles.

This book is ideal for senior engineers transitioning into architectural roles. Combine it with Software Design and Architecture Specialization on Coursera for a practical, project-based approach to applying what you learn.

Honorable Mentions (Also Worth Reading)

Here are few more books which I read and also deserve a mention for those who like to read books:

Head First Design Patterns — Learn patterns the fun, visual way.
Hacking the System Design Interview — Great interview-oriented book by a Google engineer.
System Analysis and Design by Scott Tilley — Classic textbook on system lifecycle design.
Modern Systems Analysis and Design — A complete reference for system modeling and documentation.

Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures

Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures [Ford, Neal, Richards…

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Fundamentals of Software Architecture: An Engineering Approach

Fundamentals of Software Architecture: An Engineering Approach [Richards, Mark, Ford, Neal] on Amazon.com. FREE…

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Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software 2nd…

Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software 2nd Edition [Freeman, Eric…

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Bonus: Free eBook on Distributed Systems

Don’t miss this free resource from Microsoft: Designing Distributed Systems (Free eBook)

Final Thoughts

If I had to pick just one book to start with, it would be Head First Software Architecture. If you’re more advanced, go for Designing Data-Intensive Applications and Clean Architecture back-to-back.

Books can give you depth, but pairing them with interactive courses and real-world design challenges from ByteByteGo, DesignGurus, or Educative will give you mastery.

Architecture isn’t about memorizing patterns — it’s about understanding trade-offs and designing systems that evolve gracefully. These books helped me get there — and I’m confident they’ll do the same for you.

All the best with your learning journey !!

If you want to do just one thing at this moment, I suggest go and read Head First Software Architecture, you will thank me later.

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

Head First Software Architecture: A Learner's Guide to Architectural Thinking [Gandhi, Raju, Richards, Mark, Ford…

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How AlgoMonster Helped me Master DSA for Coding Interviews?

2026-04-16T20:42:00.000-07:00

Hello guys, let me be brutally honest with you.

After 6 months of regularly grinding LeetCode problems, I thought I was ready for coding interviews, and why not? I read blogs, write blogs and have decent years of experience.

I was dead wrong.

Because when I walked into my first FAANG interview in years and they asked me:

“Find all anagrams of a string in another string”

I panicked.

Sure, I had solved 100+ LeetCode problems. I knew basic algorithms. I could implement bubble sort in my sleep. Wrote application which is running on production and I even had ideas about two-pointers pattern and knew few others.

But I had no idea this was a sliding window pattern problem. I didn’t recognize that it was similar to dozens of other problems I’d already solved.

I started with a brute force approach.

I mentioned nested loops.

Then spent 35 minutes trying to optimize something that should have taken 15 minutes max.

I didn’t cracked the interview.

That’s when I realized something crucial: solving random problems isn’t the same as understanding algorithmic patterns.

I was memorizing solutions instead of learning to recognize when to apply specific techniques.

I needed a systematic approach to pattern recognition, not just more practice problems.

That’s when I discovered AlgoMonster, and it completely transformed how I approached coding interview preparation.

Here’s how this platform took me from randomly grinding problems to systematically recognizing patterns, and ultimately cracking multiple interviews at both FAANG and other Big Tech companies.

1. First, I Realized Random Problem Solving Wasn’t Working

Most people (including me) approach DSA preparation all wrong:

Solve problems randomly on LeetCode
Look up solutions when stuck
Move to the next problem
Hope to see similar problems in interviews

This used to work and I have cracked multiple interviews in past by following just this method but it doesn’t work anymore.

Things have evolved and now more and more companies are using platforms like HackerRank, Codility, CodingGame, and CoderPad to test candidate’s algorithmic and DSA skills where you need to solve real question online with test cases, which not just test for input but also for performance.

But here’s what I learned the hard way: coding interviews test pattern recognition, not memorization.

The same 15–20 patterns appear in 80% of coding interview problems:

Two pointers
Sliding window
Fast and slow pointers
Binary search variations
Tree traversal patterns
Dynamic programming templates
Backtracking frameworks

Random grinding wasn’t teaching me these patterns.

I was solving each problem in isolation instead of understanding the underlying algorithmic thinking.

That’s exactly what AlgoMonster fixed for me.

2. I Discovered the Power of Pattern-Based Learning

When I first logged into AlgoMonster, their approach was completely different from every other platform I’d tried.

Instead of throwing random problems at me, they organized everything around patterns:

a) Pattern Identification First

Before solving any problem, AlgoMonstertaught me to ask:

What type of data structure does this involve?
What’s the constraint or optimization goal?
Does this match a known algorithmic pattern?

b) Template-Based Solutions

Each pattern came with a clear template:

Two Pointers Pattern Template:

left, right = 0, len(array) - 1
while left < right:
    if condition_met:
        # process result
        left += 1
        right -= 1
    elif need_to_expand_search:
        left += 1
    else:
        right -= 1

Sliding Window Pattern Template:

left = 0
for right in range(len(array)):
    # expand window
    add array[right] to window
    
    while window_invalid:
        # contract window
        remove array[left] from window
        left += 1
    
    # process current window

c) Systematic Problem Progression

Instead of random difficulty jumps, problems were ordered to build pattern recognition gradually:

Basic pattern problems — learn the template
Slight variations — adapt the template
Combined patterns — use multiple techniques
Advanced applications — complex real-world scenarios

This systematic approach made everything click.

I wasn’t just solving problems — I was building a mental framework for algorithmic thinking.

They have also shared a nice chart of all top coding Patterns from FAANG interview so that you put your effort where you expect maximum gain in short amount of time.

3. I Learned Through Their Unique Three-Step Method

AlgoMonster’s problem-solving interface was unlike anything I’d seen before.

Every problem followed the same three-step process:

Step 1: Pattern Recognition

Before writing any code, I had to identify:

Which algorithmic pattern applies
Why this pattern is appropriate
What the high-level approach should be

Example: “Find the longest substring without repeating characters”

My pattern analysis:

This is a sliding window problem
We need to expand the window while characters are unique
Contract when we find duplicates
Track the maximum window size

Here is how it looks like on AlgoMonster website:

Once you choose the correct pattern, you can see whether your choice is correct or not and why that particular pattern is the correct choice.

For example, when you choose the “Sliding Window” pattern to solve the “Longest Substring Without Repeating Characters”, you can see that it validate your choice with reasoning

“Correct! The Sliding Window pattern is ideal for this problem. It allows us to efficiently check substrings without recomputing every possible combination, keeping track of the current substring in one pass through the string.”

Once you find the pattern, they also share a code template which you can use to solve any problem which is based on this pattern, for example “sliding-window” pattern in our case:

You can even choose the pattern in any programming language of your choice, this really helped me because while I am a Java developer and I prefer Java, I can also see how its done in Python.

Step 2: Implementation

Only after identifying the pattern and learning about the template could I start coding.

The platform provided:

Language-specific templates
Inline hints when I got stuck
Real-time syntax checking
Test cases to validate my solution

This is really great feature to practice coding problems online because you can type code online without installing any IDE or tools on your machine.

You don’t need to worry about test-cases as they provide comprehensive test case to test your solution for all edge-cases as well as for performance.

They even allow interface to test your solution for a custom input, which is great for debugging purpose.

Here is how it looks like in Algomonster platform:

Step 3: Complexity Analysis

After solving the problem we are not done, I had to analyze:

Time complexity and why
Space complexity and why
Potential optimizations
Edge cases to consider

This three-step process trained my brain to think like an interviewer evaluates candidates.

Pattern recognition → Clean implementation → Complexity analysis

They also share a list of top 50 coding question which often asked on interviews along with Blind 75 and other list similar to ByteByteGo 101 which you can used for practice.

In fact, practicing these questions are completely free on the AlgoMonster website all you need to do is create a free account and start practicing.

📢 Get AlgoMonster 50% OFF here → https://algomonster.io

4. I Mastered Company-Specific Question Patterns

Another huge advantage of AlgoMonster was their extensive company-specific question bank.

What I discovered about different companies:

Google Patterns:

Heavy focus on tree and graph algorithms
Complex string manipulation problems
Mathematical optimization challenges
Multi-step logical reasoning

Amazon Patterns:

Array and string manipulation
Two pointers and sliding window
Basic dynamic programming
Simple tree traversals

Meta Patterns:

Graph-based social network problems
Real-time data processing scenarios
Optimization under constraints
System design coding challenges

Microsoft Patterns:

Classic computer science problems
String and array fundamentals
Recursive problem solving
Clean, readable code emphasis

Instead of preparing generically, I could focus on patterns specific to my target companies.

This targeted approach saved me months of unfocused practice.

By the way, company specific question bank is only available inside paid subscription which I highly recommend to get you and they are offering a whopping 50% discount now, which makes Algomonster subscription even more valuable and worth it

📢 Get AlgoMonster 50% OFF here → https://algomonster.io

5. I Practiced With Their SpeedRun Feature

AlgoMonster’s Speedrun feature is designed to help you go through as many questions as quickly as possible. It is the third step of the 3-step system.

Instead of writing code for each problem, you will be given a multiple choice related to the techniques and templates used to solve the problem.

This cuts down the time to go through many problems significantly.

Why Speedrun?

Train your intuition.
In a real interview, you will be spending at least half the time identifying the algorithm to solve the question and explaining your approach to the interviewer.
Reinforces your learning.
Going through a few more problems after learning the patterns and templates reinforces what you’ve learned. Seeing many problems helps train your “intuition” when faced with a new problem.
Increase your luck.
There are only so many problems out there. The more you see, the greater chance you may encounter a problem at a real interview. You never know!
Most importantly, it saves you time! You can go through many more problems in a shorter amount of time.

6. I Built Confidence Through Systematic Progress Tracking

AlgoMonster’s progress tracking was incredibly motivating.

What they tracked:

Patterns mastered vs. patterns remaining
Problems solved by difficulty and company
Average solving time by pattern type
Success rate on first attempts
Improvement trends over time

My 4-month progress:

Month 1: Basic patterns (Two Pointers, Sliding Window, Binary Search)
Month 2: Tree and Graph algorithms
Month 3: Dynamic Programming and advanced patterns
Month 4: Company-specific problem sets and mock interviews

Seeing measurable improvement kept me motivated during difficult periods.

Instead of feeling lost in an endless sea of problems, I had clear milestones and achievement markers.

To start with, I highly recommend to solve problems in their Monster 50 questions and track your progress there.

7. I Applied Pattern Recognition in Real Interviews

The real test came during actual coding interviews.

How pattern-based thinking transformed my performance:

Before AlgoMonster:

Interviewer: “Find all anagrams of a string in another string” My brain: “Uh… nested loops? HashMap maybe? Let me think…”

After AlgoMonster:

Interviewer: “Find all anagrams of a string in another string” My brain: “This is sliding window + character frequency tracking. I need to maintain a window of the anagram length and compare character counts.”

Interview at one of Big Investment Bank

Problem: “Design a data structure for autocomplete”
My approach: Immediately recognized as Trie + DFS pattern
Result: Solved in 20 minutes with optimal complexity
Feedback: “Excellent pattern recognition and clean implementation”

Interview at a Product Based Company on AI space

Problem: “Find shortest path in binary matrix”
My approach: BFS pattern with coordinate tracking
Result: Solved with multiple optimizations discussed
Feedback: “Strong algorithmic thinking and systematic approach”

8. I Started Teaching Others Using Pattern-Based Approach

The ultimate test of understanding is teaching others.

How I helped colleagues using AlgoMonster’s methodology:

For Junior Developers:

Taught them to identify patterns before coding
Showed them how to build mental templates
Emphasized complexity analysis importance

For Interview Preparation Groups:

Led mock interview sessions using pattern recognition
Created study guides organized by algorithmic patterns
Shared company-specific pattern insights

Every teaching session reinforced my own pattern recognition skills.

When someone asked “How do I solve this binary search problem?” I could explain:

Why it’s a binary search pattern
What the template looks like
How to adapt it for different constraints
What the complexity implications are

My Results After 4 Months with AlgoMonster

Interview Performance:

Coding interviews passed: 12 out of 14
Offers received: from both banks and product based company
Average problem-solving time: Reduced by 60%
First-attempt success rate: Improved from 30% to 85%

Specific Improvements:

Could identify patterns within 2–3 minutes
Solved medium problems in 15–20 minutes consistently
Handled follow-up optimization questions confidently
Wrote cleaner, more readable interview code
Analyzed time/space complexity accurately every time

Career Impact:

Interview confidence: Complete transformation from anxiety to excitement
Technical leadership: Now lead algorithm discussions in team meetings

The Investment That Transformed My Career

While Algomonster is not cheap, especially if you compared to coding interview courses on Udemy but its still not very expensive unlike those coding interview bootcamps.

It’s very much affordable and when you compare the salary hike and opportunities you get, its no brainer.

AlgoMonster is currently offering 50% off their annual and lifetime plans.

What you get:

Complete pattern-based curriculum covering all major algorithmic patterns
100+ problems organized by patterns and companies
Interactive coding environment with real-time feedback
Company-specific question banks for targeted preparation
Progress tracking and performance analytics
Mock interview simulation tools
Lifetime access option for continuous learning

ROI Analysis:

My salary increase: $180,000+
Time saved vs random grinding: 6+ months
Interview success rate improvement: From 30% to 85%+
Confidence boost: Immeasurable

If you think it make sense, here is the link to get a AlgoMonster PRO lifetime membership for $459, that’s what I have because I know its long time investment and totally worth it.

Lifetime plans are great because they provide best value and you will be using these platforms for rest of your career.

Why AlgoMonster Worked When LeetCode Grinding Failed?

If you ask me, LeetCode teaches you to solve individual problems.

AlgoMonster teaches you to think algorithmically.

Traditional Approach (LeetCode grinding):

Random problem selection
Solution memorization
No systematic pattern learning
Isolated problem-solving
Overwhelming volume without direction

AlgoMonster’s Pattern-Based Approach:

Systematic pattern identification
Template-based problem solving
Gradual complexity building
Connected algorithmic thinking
Focused, efficient learning path

The difference is like learning vocabulary words randomly vs. learning grammar patterns that apply to thousands of sentences.

My Honest Recommendation

If you’re serious about coding interviews, especially at top tech companies, random LeetCode grinding is inefficient and overwhelming.

You need:

Systematic pattern recognition training
Template-based problem-solving approaches
Company-specific preparation strategies
Realistic interview simulation practice
Measurable progress tracking

AlgoMonster provides all of this in one comprehensive platform.

Is it worth the investment?

If you’re targeting even one coding interview at a major tech company, absolutely yes.

The salary difference between passing and failing that interview is typically $100,000-$200,000+.

With their current 50% discount, there’s never been a better time to invest in systematic algorithmic thinking.

If you’re a long-term learner, mentor, or planning to revisit interviews every 1–2 years, the Pro Lifetime at $459 is 100% worth it — especially with the included coaching.

You can also learn more about AlgoMonster plan here

Start Your Pattern-Based DSA Journey Today

Stop grinding random problems hoping to get lucky.

Start learning algorithmic patterns that apply to thousands of problems.

One pattern at a time. One template at a time. One successful interview at a time.

The difference between random preparation and systematic pattern learning is the difference between hoping for the best and confidently expecting success.

All the best for your interview.

Other Programming and Interview Articles you may like

Thanks for reading this article so far. If you like this article 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 are serious about getting into FAANG companies and want to leave no stone unturned then I also suggest you to join Algomonster for DSA and ByteByteGo for System Design, and start practicing mock interviews on Exponent. This is the perfect recipe to crack coding interviews in quick time

System Design · Coding · Behavioral · Machine Learning Interviews

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

bytebytego.com

Rate Limiter - System Design Interview Question [Solved]

2026-04-16T07:49:00.000-07:00

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 --- ByteByteGo

Hello friends, System design interviews often test your ability to solve problems that balance performance, scalability, and correctness. One of the most common questions I've encountered is:

"How would you design a Rate Limiter?"

I've been asked this exact question multiple times, and each time the interviewer wanted to see how I approached it systematically.

The rate limiter is not just an academic problem; it's at the heart of many real systems. APIs, login attempts, payment systems, and messaging platforms all use rate limiting to prevent abuse, control costs, and ensure fairness among users.

In the past, I have shared common questions like how to design WhatsApp or YouTube, as well as some concept-based questions like the difference between API Gateway vs Load Balancer and Horizontal vs Vertical Scaling, Forward proxy vs reverse proxy.

In this article, I'll walk you through the problem, the key requirements, different design approaches, and show you code examples (including the simple timestamp array method I used in interviews).

What is a Rate Limiter?

A Rate Limiter is a system component that restricts the number of actions a user (or client) can perform in a given timeframe.

Examples:

API Gateway: Only allow 100 requests per user per minute.
Login System: Allow only 5 failed attempts in 10 minutes.
Messaging App: Prevent users from sending more than 20 messages per second.

If users exceed these limits, the system should block their requests (often returning an HTTP status code 429 Too Many Requests).

Here is a nice diagram from ByteByteGo which shows Rate Limiter in action:

Key Requirements in Interviews

When designing a rate limiter, interviewers usually want to see if you can handle:

Correctness --- Ensuring requests beyond the limit are rejected.
Efficiency --- Handling millions of requests per second with low latency.
Scalability --- Working in a distributed system across multiple servers.
Fairness --- Avoiding loopholes where burst traffic is allowed.
Configurability --- Easy to change limits per user, per API, etc.

You can also ask questions to clarify any other requirements the Interview will have, like sometimes they ask you to put a limit on a particular URL and on a particular HTTP method.

Top 4 Rate Limiting Algorithms for Interview

Many different algorithms exist for rate limiting, each with trade-offs. Here are the most popular rate-limiting algorithms, which are also asked on technical interviews:

Fixed Window Counter

Divide time into fixed windows (e.g., every minute). Count requests.
Simple but can allow bursts at window boundaries.

Sliding Window Log

Store timestamps of requests in a log (array/queue). Remove old timestamps.
More accurate but requires memory proportional to the request volume.

Sliding Window Counter

Uses counters for current and previous windows, weighted by time.
Memory efficient, smoother than a fixed window.

Token Bucket / Leaky Bucket

Tokens are added at a fixed rate, and requests consume tokens.
Smooths traffic and is widely used in production systems.

How to design a Rate Limiter on Coding Interviews?

As a Java developer, it's important to not just explain the algorithm but also write clean, interview-ready Java code. In this article, I'll explain the approaches and show you Java implementations for two popular solutions:

Sliding Window Log (array of timestamps) --- the one I personally used in interviews.
Token Bucket --- the production-grade solution widely used in APIs.

1. Sliding Window Log in Java

This method maintains a queue of timestamps for each request. Before processing a new request:

Remove timestamps older than the configured time window.
If the queue size is below the limit, allow the request and insert the new timestamp.
Otherwise, reject it.

Here is how it works:

Now, let's see the implementation in Java code:

import java.util.*;\
public class RateLimiter {\
    private final int maxRequests;\
    private final long windowSizeInMillis;\
    private final Deque<Long> requestTimestamps;\
    public RateLimiter(int maxRequests, int windowSizeInSeconds) {\
        this.maxRequests = maxRequests;\
        this.windowSizeInMillis = windowSizeInSeconds * 1000L;\
        this.requestTimestamps = new ArrayDeque<>();\
    }\
    public synchronized boolean allowRequest() {\
        long now = System.currentTimeMillis();\
        // Remove old timestamps\
        while (!requestTimestamps.isEmpty() &&\
               requestTimestamps.peekFirst() <= now - windowSizeInMillis) {\
            requestTimestamps.pollFirst();\
        }\
        if (requestTimestamps.size() < maxRequests) {\
            requestTimestamps.addLast(now);\
            return true;\
        } else {\
            return false;\
        }\
    }\
    // Demo\
    public static void main(String[] args) throws InterruptedException {\
        RateLimiter limiter = new RateLimiter(5, 10); // 5 requests per 10 seconds\
        for (int i = 1; i <= 7; i++) {\
            if (limiter.allowRequest()) {\
                System.out.println("Request " + i + ": Allowed");\
            } else {\
                System.out.println("Request " + i + ": Blocked");\
            }\
            Thread.sleep(1000);\
        }\
    }\
}

Sample Output
Request 1: Allowed
Request 2: Allowed
Request 3: Allowed
Request 4: Allowed
Request 5: Allowed
Request 6: Blocked
Request 7: Blocked

This solution is perfect for interviews because it's simple, intuitive, and demonstrates your understanding of sliding windows.

2. Token Bucket in Java

The Token Bucket algorithm is widely used in production (e.g., API gateways, microservices).

Tokens are added at a fixed rate.
Each request consumes one token.
If no tokens are available, the request is rejected.

Here is how Tocken Bucket Algorithms work:

Now, let's see the Java code:

public class TokenBucket {\
    private final int capacity;\
    private final double refillRate; // tokens per second\
    private double tokens;\
    private long lastRefillTimestamp;

public TokenBucket(int capacity, double refillRate) {\
        this.capacity = capacity;\
        this.refillRate = refillRate;\
        this.tokens = capacity;\
        this.lastRefillTimestamp = System.nanoTime();\
    }\
    public synchronized boolean allowRequest() {\
        long now = System.nanoTime();\
        double tokensToAdd = ((now - lastRefillTimestamp) / 1e9) * refillRate;\
        tokens = Math.min(capacity, tokens + tokensToAdd);\
        lastRefillTimestamp = now;\
        if (tokens >= 1) {\
            tokens -= 1;\
            return true;\
        } else {\
            return false;\
        }\
    }\
    // Demo\
    public static void main(String[] args) throws InterruptedException {\
        TokenBucket bucket = new TokenBucket(10, 5); // 5 tokens/sec, burst up to 10\
        for (int i = 1; i <= 20; i++) {\
            if (bucket.allowRequest()) {\
                System.out.println("Request " + i + ": Allowed");\
            } else {\
                System.out.println("Request " + i + ": Blocked");\
            }\
            Thread.sleep(200);\
        }\
    }\
}

This implementation is thread-safe and performs well under concurrent loads.

Interview Strategy (for Java Developers)

When asked, "How would you design a rate limiter?" in a Java system design interview:

Start with Fixed Window Counter (simple but has edge cases).
Move to Sliding Window Log (use Deque<Long> in Java).
Mention Token Bucket (useful in production systems).
For distributed systems, bring up Redis-based counters or API Gateway features (e.g., Nginx, Envoy).

This shows both breadth (knowledge of algorithms) and depth (working Java code).

System Design Interview Resources

In order to do well on any interview, resources are very important. Before any System Design and Coding interview, I used to read the following resources

ByteByteGo: click here

I have personally bought their System Design books to speed up my preparation, and joined ByteByteGo for comprehensive preparation.

They are now also giving a 50% discount on their lifetime plan, which is what I have, and I highly recommend that to anyone preparing for the System Design interview.

Join ByteByteGo now for a 50% Discount: click here

Codemia.io : Click here

This is another great platform to practice System design problems for interviews. It has more than 120+ System design problems, many of which are free, and also a proper structure to solve them.

They also have a great platform, editorial solution, and tools to help you practice system design questions online, and the best thing is that they are also offering a 60% discount on their lifetime plan.

I usually combine ByteByteGo (theory), Codemia (practice), and Exponent (mock interview) for a complete prep

Here is the link to get discount --- Join Codemia for 60% Discount

Exponent: Click here
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 and mock interviews that can help you crack FAANG interviews.

They are also offering a 70% discount now on their annual plan, which makes it a great time to join them.

Here is the link to get discount --- Join Exponent for70% OFF

Conclusion

Rate limiting is one of those interview questions that tests both your algorithm knowledge and system design intuition.

If you just need something clean in an interview, go with the Sliding Window Log approach (with a Deque<Long> in Java).
If you want to demonstrate production-grade knowledge, mention and explain the Token Bucket algorithm.

That way, you cover both the practical coding side and the system design side in one answer.

The Java Microservices Developer's Reading List for 2026 (10 Books That Matter)

2026-04-15T06:04:00.000-07:00

Hello friends, in last few years, Microservices have become the default architecture for building scalable, cloud-native applications. From startups to enterprises, teams are moving away from monoliths to distributed systems that are easier to scale, deploy, and evolve.

But microservices are also complex. Concepts like service boundaries, distributed transactions, observability, and event-driven communication can be difficult to master without strong fundamentals.

That’s where good books still shine. While courses and tutorials are helpful, books provide deeper explanations, real-world case studies, and architectural thinking that short-form content often misses.

In this article, I’ve curated 10 of the best microservices books that every developer, architect, and backend engineer should read to truly understand modern distributed systems.

1. Building Microservices: Designing Fine-Grained Systems — Sam Newman

This is widely considered the definitive introduction to microservices. Sam Newman explains not only how to build microservices, but also when not to.

The book covers:

Service decomposition strategies
Deployment and testing approaches
Monitoring, logging, and scaling
Trade-offs between microservices and monoliths

If you read only one book on microservices, start with this one.

Here is the link to get this book: Building Microservices: Designing Fine-Grained Systems

Building Microservices: Designing Fine-Grained Systems

Building Microservices: Designing Fine-Grained Systems [Newman, Sam] on Amazon.com. FREE shipping on qualifying…

www.amazon.com

2. Microservices Patterns — Chris Richardson

Once you understand the basics, this book takes you deeper into production-grade patterns like:

Saga pattern
API Gateway
Circuit Breaker
Event sourcing and CQRS

It’s one of the most practical resources for solving real distributed system problems.

If you want an interactive companion, I found Grokking Microservices Design Patterns particularly useful.

Microservices Patterns: With examples in Java

Microservices Patterns teaches you 44 reusable patterns to reliably develop and deploy production-quality…

www.amazon.com

3. Production-Ready Microservices — Susan Fowler

Many books explain architecture, but this one focuses on operating microservices in production — something that’s often overlooked.

You’ll learn:

Service monitoring and alerting
Failure handling and resiliency
Deployment pipelines and scaling
Incident response and operational maturity

If you’re moving toward a tech lead or platform engineering role, this book is essential.

Here is the link to get this book: Production-Ready Microservices

Production-Ready Microservices: Building Standardized Systems Across an Engineering Organization

Production-Ready Microservices: Building Standardized Systems Across an Engineering Organization [Fowler, Susan J.] on…

www.amazon.com

4. Monolith to Microservices — Sam Newman

Most real-world systems start as monoliths. This book provides a practical roadmap for migrating safely using:

Strangler pattern
Incremental refactoring
Data migration strategies
Versioning and backward compatibility

This is a must-read if you’re working on legacy modernization.

Here is the link to get this book — Monolith to Microservices

Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith

Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith [Newman, Sam] on Amazon.com. FREE…

www.amazon.com

5. Building Event-Driven Microservices — Adam Bellemare

Modern microservices increasingly rely on event-driven architecture. This book explains:

Event streaming and pub/sub
Kafka vs RabbitMQ trade-offs
Event sourcing and data consistency
Designing scalable real-time systems

If your system needs asynchronous processing and high scalability, this book is invaluable.

Here is the link to get this book — Building Event-Driven Microservices

Building Event-Driven Microservices: Leveraging Organizational Data at Scale

Amazon.com: Building Event-Driven Microservices: Leveraging Organizational Data at Scale: 9781492057895: Bellemare…

www.amazon.com

6. Microservices in Action — Morgan Bruce & Paulo Pereira

This is a very hands-on book focused on building microservices with:

Spring Boot
Docker
Kubernetes
REST and messaging systems

For Java developers, this is one of the best practical implementation guides.

You can also pair it with Design Microservices Architecture with Patterns & Principles for hands-on learning.

Spring Microservices in Action — John Carnell

Build scalable, resilient microservices with Java and Spring!

manning.com

7. Domain-Driven Design — Eric Evans

Even though this book isn’t specifically about microservices, it introduced concepts like:

Bounded contexts
Aggregates
Ubiquitous language

These ideas are fundamental to designing well-structured microservices. It’s dense, but incredibly influential.

Here is the link to get this book — Domain-Driven Design

Domain-Driven Design: Tackling Complexity in the Heart of Software

Domain-Driven Design: Tackling Complexity in the Heart of Software [Evans, Eric] on Amazon.com. FREE shipping on…

www.amazon.com

8. Implementing Domain-Driven Design — Vaughn Vernon

If Eric Evans’ book explains the theory, this one shows how to apply DDD in real projects and microservice architectures.

It’s especially useful for architects designing service boundaries and domain models.

Here is the link to get this book — Implementing Domain-Driven Design

Implementing Domain-Driven Design

“For software developers of all experience levels looking to improve their results, and design and implement…

www.amazon.sg

9. Architecture Patterns with Python — Harry Percival & Bob Gregory

For Python developers, this book is a gem. It combines:

Domain-driven design
Test-driven development
Event-driven microservices

It’s one of the few resources that shows how to implement clean architecture patterns in Python microservices.

Here is the link to get this book — Architecture Patterns with Python

Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and…

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are…

www.amazon.com

10. Microservices: Up and Running — Ronnie Mitra & Irakli Nadareishvili

If you’re completely new to microservices and want a step-by-step introduction, this is one of the most beginner-friendly books available.

It explains:

Core architecture concepts
Communication patterns
Deployment and security basics

You can combine it with the Master Microservices with SpringBoot, Docker, Kubernetes for hands-on practice.

Microservices: Up and Running: A Step-by-Step Guide to Building a Microservices Architecture

Amazon.com: Microservices: Up and Running: A Step-by-Step Guide to Building a Microservices Architecture…

www.amazon.com

Which Microservices Book Should You Read First?

If you’re unsure where to start, here’s a simple roadmap:

Beginner: Microservices: Up and Running
Architecture Fundamentals: Building Microservices
Design Patterns: Microservices Patterns
Event-Driven Systems: Building Event-Driven Microservices
Legacy Migration: Monolith to Microservices

Implementing Domain-Driven Design

“For software developers of all experience levels looking to improve their results, and design and implement…

www.amazon.sg

Microservices: Up and Running: A Step-by-Step Guide to Building a Microservices Architecture

Amazon.com: Microservices: Up and Running: A Step-by-Step Guide to Building a Microservices Architecture…

www.amazon.com

Building Microservices: Designing Fine-Grained Systems

Building Microservices: Designing Fine-Grained Systems [Newman, Sam] on Amazon.com. FREE shipping on qualifying…

www.amazon.com

Final Thoughts

That’s all on the best books Java Developers can read to learn Microservices architecture in 2026. Microservices are powerful, but they introduce challenges around data consistency, network latency, observability, and operational complexity.

The books above provide the depth and practical insights needed to navigate these challenges confidently.

If you’re serious about becoming a strong backend engineer or software architect, these books will help you build the mental models required to design reliable, scalable distributed systems.

If you enjoyed this list, you may also like:

Grokking Microservices Design Patterns

Grokking Microservices Design Patterns | Design Scalable & Resilient Systems

Unlock the power of microservices design patterns to build scalable and resilient software. Grokking Microservices…

buff.ly

I Tried 50+ Cloud Computing Courses, Projects, and Labs - Here Are My Top 10 Recommendations for 2026

2026-04-13T21:40:00.000-07:00

Hello guys, when cloud computing appear 10 years ago in form of AWS, I didn’t paid much attention but that was my biggest mistake which I corrected later by learning about AWS and Cloud Computing.

In 2026, Cloud computing is no longer just a buzzword; it’s a necessity for businesses and engineers alike, and if you don’t have cloud skill then you will left behind with your peers and other candidates whether its job interview or promotion.

Since most of the modern software are going to run on Cloud, its important to learn how to design and deploy your application on Cloud. What are different Cloud services and when to use it and what are different Cloud paradigms like IaaS and SaaS.

If you want to learn Cloud Computing and looking for resources then you have come to the right place. Earlier, I have shared AWS courses, Azure Courses and GCP courses and today, I am going to share interactive courses, labs and projects to learn Cloud computing from scratch.

Most of these courses are taken from Educative.io, an interactive online learning platform which I found really useful for learning cloud skills due to their cloud labs feature.

Whether you’re preparing for a certification, diving into hands-on projects, or mastering cloud fundamentals, Educative.io has a range of courses tailored to help you succeed.

From beginner-friendly guides to advanced cloud labs and projects, you’ll gain practical skills to build and manage scalable, secure, and cost-efficient cloud solutions.

In this article I will share 10 best Educative.io courses for mastering cloud computing in 2026. Though, you can get access to all of these courses, labs, and projects with a single Educative Premium Plus subscription which not only provide access to courses but also cloud labs and projects.

Educative: AI-Powered Interactive Courses for Developers

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10 Best Cloud Computing Courses, Labs and Projects in 2026

Without any further ado, here are the best Cloud Computing courses, labs, and projects you can do to learn Cloud Computing in 2026. These courses are fully interactive and labs are well designed to teach you a particular task and there are multiple labs to practice with AWS, Azure or Google Cloud Platform.

1. Cloud Computing Fundamentals

Get a solid foundation in cloud computing by exploring cloud services, deployment models, storage, and platform selection. Hands-on labs provide real-world experience without the hassle of setting up infrastructure.

Level: Beginner
Duration: 3 hours
Highlights: AI-powered explanations and adaptive learning.
Why Take It: A must for beginners who want to grasp cloud essentials quickly.

Here is the link to join this course — Cloud Computing Fundamentals

2. Master AWS Certified Solutions Architect Associate SAA-C03 Exam

Prepare for one of the most sought-after cloud certifications with this comprehensive course developed by AWS Solution Certified Architects. You’ll design secure, resilient, high-performing, and cost-optimized architectures while building hands-on expertise.

Level: Beginner
Duration: 3 hours
Highlights: Practical exercises and certification readiness.
Why Take It: This course is ideal for those aiming to land high-paying AWS roles.

Here is the link to join this course — Master AWS Certified Solutions Architect Associate SAA-C03 Exam

3. Cloud Architecture: A Guide to Design & Architect Your Cloud

Gain essential cloud architecture skills with this course designed for managers and engineers alike. Learn to design, manage, and communicate cloud strategies effectively — perfect for workplace conversations and interviews.

Level: Beginner
Duration: 3 hours 12 minutes
Highlights: No setup, adaptive learning, and cloud architecture fundamentals.
Why Take It: This course bridges technical and managerial insights, making it ideal for leaders.

Here is the link to join this course — Cloud Architecture: A Guide to Design & Architect Your Cloud

4. Understanding Cloud Computing Essentials — From Zero to Hero

This Cloud Lab immerses you in AWS infrastructure, teaching you to create S3 buckets, deploy web servers on EC2, and build serverless applications with Lambda.

Level: Beginner
Duration: 2 hours 30 minutes
Highlights: Hands-on tasks using AWS IAM, S3, and Lambda.
Why Take It: Perfect for building practical AWS skills with zero setup.

Here is the link to join this course — Understanding Cloud Computing Essentials — From Zero to Hero

5. Getting to Know AWS CloudFormation

Master AWS CloudFormation and learn to manage resources like EC2 instances and IAM roles through stacks. This lab focuses on creating, deploying, and managing cloud resources efficiently.

Level: Beginner
Duration: 1 hour
Highlights: Hands-on CloudFormation templates and automation.
Why Take It: A quick but impactful course for understanding AWS resource automation.

Here is the link to join this course — Getting to Know AWS CloudFormation

6. Azure Cloud Solutions Architect Program

For those working in Azure environments, this program covers automation, security, cost management, and robust Azure solution design.

Level: Intermediate
Duration: 18 hours
Highlights: 75 lessons, 2 projects, 4 assessments, and 41 playgrounds.
Why Take It: Comprehensive Azure training with hands-on projects and labs.

Here is the link to join this course — Azure Cloud Solutions Architect Program

7. Using AWS Route 53 for Secure Routing

In this project, you’ll use AWS Route 53 to manage web traffic securely. Learn to configure the AWS CLI, create traffic policy documents, and optimize web hosting.

Level: Intermediate
Duration: Project-based
Highlights: Hands-on AWS CLI and Route 53 traffic policies.
Why Take It: Essential for engineers focusing on secure routing and load balancing.

Here is the link to join this course — Using AWS Route 53 for Secure Routing

8. Learn the A to Z of Amazon Web Services (AWS)

This course provides the best Amazon Web Services (AWS) tutorial for beginners to learn about AWS cloud services. You can use this to build foundational AWS knowledge by exploring cloud concepts, billing, security, and support systems. This course is ideal for beginners seeking to understand AWS from a business perspective.

Level: Beginner
Duration: 5 hours
Highlights: Business-focused cloud essentials.
Why Take It: A solid starting point for non-technical roles in cloud computing.

Here is the link to join this course — Learn the A to Z of Amazon Web Services (AWS)

9. Running Serverless Applications with AWS Lambda

This is another advanced AWS course on Educative for anyone who want to dive into the world of serverless computing by building and deploying Lambda functions, API Gateways, and DynamoDB integrations.

Level: Intermediate
Duration: 8 hours
Highlights: Serverless architecture and automation.
Why Take It: Ideal for engineers looking to leverage serverless technologies.

Here is the link to join this course — Running Serverless Applications with AWS Lambda

10. Cracking the Google Cloud Associate Cloud Engineer Certification

Explore Google Cloud Platform (GCP) basics, including storage, compute, and networking. This course provides hands-on experience with GCP tools and services.

It will also help you to become a cloud pro with strategic GCP skills. You will not just get hands-on experience, but also understand “Why GCP?”, and prepare with a practice exam.

Level: Beginner
Duration: 4 hours
Highlights: Practical labs and project-based learning.
Why Take It: A must for those exploring GCP for the first time.

Here is the link to join this course — Cracking the Google Cloud Associate Cloud Engineer Certification

Why Choose Educative.io for Cloud Computing in 2026?

When it comes to learning Cloud Computing, just watching videos are not enough, you need to get hands-on practice. While you can still get some practice by using AWS free tier and Azure free but they are not guided.

Educative.io offers more than just courses. With projects, cloud labs, and hands-on exercises, you get a learning experience that goes beyond theory:

Cloud Labs: Practice real-world scenarios in a no-setup, no-cleanup environment.
Interactive Projects: Build applications and explore tools like AWS Route 53 and CloudFormation.
Certificates: Showcase your expertise to potential employers.

Whether you’re an absolute beginner or an experienced professional, these courses will prepare you to excel in cloud computing in 2026.

Here is the link to join Educative — Educative Unlimited

That’s all about the best online courses, labs, and projects to learn Cloud Computing in 2026. These courses not just covers AWS but also Azure and Google Cloud Platform.

They also cover intermediate and advanced topics like Serverless Computing and they will also help you to prepare for exams like AWS Solution Architect Associate and Google Cloud Engineer.

Though, when it comes to joining Educative to access any course, you don’t need to buy them individually, you can get a Educative Premium Plus membership to get access of all interactive courses, cloud labs and projects.

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Other IT and Cloud Certification Articles you may like:

Thanks for reading this article so far. If you find these best cloud computing courses with labs and projects interesting, please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — While Educative also have Premium plan, I suggest you to get this one as it provide cloud lab access which is really important for learning cloud computing concepts.

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The AI and LLM Engineer's Reading List for 2026 (10 Books That Matter)

2026-04-13T06:41:00.000-07:00

Hello Guys, The AI world is moving ridiculously fast.

New models, new frameworks, new tools — every week there’s something new for AI engineers to learn. But if there’s one thing that consistently separates great engineers from the rest, it’s strong fundamentals.

And for that, books still beat everything else.

Over the past few months, I’ve been diving deep into some of the best books on AI engineering, LLMs, and production AI systems. These are not just theoretical reads — they cover everything from building LLMs from scratch, to designing scalable ML systems, to deploying AI applications in production.

In this newsletter, I’m sharing 10 AI and LLM Engineering books I’m reading in 2026 — books that every developer, ML engineer, or AI enthusiast should have on their radar.

These include fantastic titles from experts like Paul Iusztin , Chip Huyen, Sebastian Raschka, PhD , Maxime Labonne , Louis-François Bouchard , Louie Peters and others who are shaping how modern AI systems are built.

If you want to learn how to:

Build LLM-powered applications
Design scalable AI systems
Understand prompt engineering and agentic AI
Deploy LLMs in production

then these books are an excellent place to start.

Let’s dive into the list.

10 Must-Read Books for AI and LLM Engineers in 2026

Without any further ado, here is a list of the 10 Best Books to Learn AI and LLM Engineering in 2026. This includes books on AI, Machine Learning, and Large Language Models.

If you’re serious about becoming an AI engineer or working with LLMs, this list is your roadmap.

1. AI Engineering by Chip Huyen

This is the first book you should read on AI Engineering, and if you don’t like reading many books, then this single book is enough to learn all the skills you need to become an AI Engineer in 2026.

Chip Huyen , author of this book, brings a refreshing focus on AI systems design rather than just models.

If you don’t know, Chip has worked as a researcher at Netflix, was a core developer at NVIDIA (building NeMo, NVIDIA’s GenAI framework), and cofounded Claypot AI. She has also taught machine learning (ML) at Stanford University.

This book covers what an AI engineering stack looks like: the one that we software engineers must become experts in order to be an AI engineer.

You’ll learn how to turn machine learning models into real products --- handling data pipelines, model versioning, deployment, monitoring, and scaling.

It also covers what AI engineering is, how it differs from ML engineering, and the techniques AI engineers should be familiar with.

If your goal is to become a true AI Engineer (not just a Kaggle competition winner), this book is pure gold.

Here is the link to get this book --- AI Engineering by Chip Huyen

2. The LLM Engineering Handbook by Paul Iusztin and Maxime Labonne

This book is like an operations manual for LLM development.

It covers prompt engineering, model fine-tuning, retrieval-augmented generation (RAG), evaluation strategies, and production patterns.

The authors have real-world experience building LLM apps at scale.

Highly recommended if you want to move from “just using GPT” to designing serious LLM applications.

Here is the link to get this book --- The LLM Engineering Handbook by Paul Iusztin and Maxime Labonne

3. Designing Machine Learning Systems by Chip Huyen

This is another great book from Chip Huyen, one of my favorite authors when it comes to AI and LLM engineering

While “AI Engineering” focuses more on the systems side, this one gets into how to design and operate machine learning systems under real-world constraints like data drift, retraining, and model reliability.

You’ll start thinking like a machine learning product engineer, not just a model builder.

Here is the link to get this book --- Designing Machine Learning Systems by Chip Huyen

4. Building LLMs for Production by Louis-François Bouchard and Louie Peters

This book shows you how to actually ship Large Language Models into production environments. You’ll learn about fine-tuning, deploying, scaling, and maintaining LLMs like a real engineer.

It’s packed with hands-on advice, architecture examples, and real deployment challenges.

If you’re aiming for a career as an LLM engineer, this book should be your first read.

Here is the link to get this book --- Building LLMs for Production by Louis-François Bouchard and Louie Peters

5. Build a Large Language Model (from Scratch) by Sebastian Raschka, PhD

Sebastian Raschka is a legend in the machine learning community. This book teaches you how to build a transformer-based LLM from scratch using PyTorch, with no shortcuts.

You’ll go deep into model architecture, tokenization, attention mechanisms, and training strategies.

Perfect for developers who want to understand LLMs at the code level, not just use APIs like OpenAI’s.

Here is the link to get this book --- Build a Large Language Model (from Scratch) by Sebastian Raschka, PhD

6. Hands-On Large Language Models: Language Understanding and Generation

Jay Alammar and Maarten Grootendorst are two of the most respected names in the AI and NLP space.

This book walks you through building and fine-tuning large language models with modern tools like Hugging Face Transformers, LangChain, and more.

It’s hands-on and practical --- ideal for developers, data scientists, and ML engineers who want to build and deploy LLMs that understand and generate human language effectively.

Here is the link to get this book --- Hands-On Large Language Models

7. Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications

If you’re building AI products using OpenAI, Claude, or open-source LLMs, this book shows you how to write smarter prompts for better results.

It covers strategies like few-shot prompting, chain-of-thought, and using prompt patterns effectively.

Created by John Berryman and Albert Ziegler this book dives into the evolving art and science of prompt engineering.

A must-read for AI developers and product designers.

Here is the link to get this book --- Prompt Engineering for LLMs

8. Building Agentic AI Systems: Create Intelligent, Autonomous AI Agents that can Reason, Plan, and Adapt

Written by Anjanava Biswas and Wrick Talukdar, this book explores how to build agentic AI systems that can go beyond static outputs.

This book shows you how to create autonomous AI agents that can interact with environments, reason, make decisions, and take actions.

If you’re interested in building AI agents like Auto-GPT, BabyAGI, or LangGraph-based systems, this guide is a goldmine.

Here is the link to get this book --- Building Agentic AI Systems

9. Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

This is a comprehensive guide to prompt engineering techniques specifically designed for generative AI systems --- including text, image, and code generation.

The book emphasizes how to write prompts that are robust, consistent, and tailored for business and production environments.

Whether you’re working with GPT, DALL-E, or other models, this Prompt Engineering book by James Phoenix and Mike Taylor will definitely help you future-proof your AI input strategies.

Here is the link to get this book --- Prompt Engineering for Generative AI

10. The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems

Thomas R. Caldwell’s AI Engineering Bible is a must-have for software engineers and tech leaders.

It goes beyond models and APIs to show you how to engineer real-world AI systems that are scalable, maintainable, and production-ready.

From architecture to infrastructure, deployment to monitoring, it covers the entire AI lifecycle. This is the playbook for anyone who wants to lead AI implementation in their organization.

Here is the link to get this book --- The AI Engineering Bible

Why You Should Read These Books?

Apart from my recommendations and several others on Reddit and HN, here are the top 5 reasons why you should read these AI and LLM Engineering books.

They’re written by practitioners who have built production AI/LLM systems.
They focus on engineering, deployment, and real-world use cases --- not just algorithms.
They don’t waste your time with outdated academic theory.
They prepare you for the future of AI and LLM work: scalable, reliable, explainable systems.
Widely recommended by professionals on Reddit and Hacker News.

Reading books is powerful, but nothing beats building things.

If you want to accelerate your learning, combine these books with a hands-on course like: LLM Engineering: Master AI, Large Language Models & Agents to get some hands-on experience on building RAG RAG-based chatbot and learning LLM by watching.

Conclusion

That’s all about the best books to learn AI and LLM Engineering in 2026. If you’re serious about mastering AI and LLM engineering in 2026 and beyond, start with these must-read AI and LLM Engineering books.

They’ll save you hundreds of hours of wasted time and help you actually build systems that work.

Want even faster progress?
If you want more fun and faster progress then you can also pair these books with hands-on projects like building your own RAG-based chatbot, fine-tuning a model on your own dataset, or deploying a real-world LLM app to the cloud.

I Tried 50+ AI Courses on Udemy: Here are The Best 5

2026-04-11T21:52:00.000-07:00

Hello guys, the AI revolution isn’t coming — it’s already here. In 2026, artificial intelligence skills have become as essential as knowing how to code was a decade ago.

Whether you’re a developer looking to build AI-powered applications, a product manager wanting to understand AI capabilities, or a professional aiming to stay relevant in an AI-driven workplace, now is the time to upskill.

The landscape has evolved dramatically. We’ve moved beyond basic chatbots to sophisticated AI agents that can reason, plan, and execute complex tasks autonomously.

Skills like prompt engineering, agentic AI development, and working with frameworks like LangChain and LangGraph are now among the most in-demand abilities in tech.

After researching 20+ of AI courses on Udemy, I’ve identified the top 5 Udemy courses that will give you practical, job-ready AI skills in 2026. These aren’t theoretical lectures — they’re hands-on courses that teach you to build real AI applications.

By the way, if you are new to AI world then I highly recommend you to start with The AI Engineer Course 2026: Complete AI Engineer Bootcamp, one of the most comprehensive resource to become an AI Engineer in 2026.

Why These AI Skills Matter in 2026?

Prompt Engineering has become the new programming. Knowing how to communicate effectively with AI models can 10x your productivity and unlock capabilities that seem like magic.

Agentic AI represents the next frontier — AI systems that can autonomously accomplish goals, make decisions, and coordinate with other agents to solve complex problems.

LangChain has emerged as the go-to framework for building production-ready LLM applications, making it an essential tool for any AI developer.

MCP (Model Context Protocol) and frameworks like AutoGen are revolutionizing how AI agents communicate and collaborate, opening doors to multi-agent systems that can tackle enterprise-scale challenges.

Let’s dive into the top 5 courses that will help you master these critical skills.

5 Best Udemy Courses to learn Essential AI skills in 2026

Without any further ado here are the top Udemy courses you can join to learn essential AI skills like Prompt Engineer, MCP, Agentic AI development, and frameworks like LangChain and LangGraph.

1. Artificial Intelligence A-Z™: Learn How To Build An AI

Best For: Complete beginners wanting a comprehensive AI foundation

This course is the perfect starting point for anyone new to artificial intelligence. It takes you from zero knowledge to building your own AI systems, covering both the theory and practical implementation.

What You’ll Learn:

Fundamental AI concepts and how AI actually works
Building various types of AI from scratch
Understanding machine learning algorithms
Creating self-improving AI systems
Real-world AI applications and use cases
Both supervised and unsupervised learning techniques

Why This Course Stands Out:

The “A-Z” format means you get comprehensive coverage without gaps in your knowledge. The instructors break down complex concepts into digestible lessons, making AI accessible even if you’re coming from a non-technical background. You’ll build actual AI projects, not just watch theory lectures.

The course balances theory with hands-on coding, ensuring you understand why things work, not just how to copy-paste code. This foundational knowledge becomes invaluable as you move into more specialized areas like prompt engineering or agentic AI.

Perfect If You’re:

New to AI and want a solid foundation
Looking to transition into AI development
Wanting to understand what’s possible with AI before specializing

Here is the link to join this course — — Artificial Intelligence A-Z™: Learn How To Build An AI

2. The Complete Prompt Engineering for AI Bootcamp (2026)

Best For: Anyone wanting to master AI communication and maximize productivity

Prompt engineering has become one of the hottest skills in 2026. This isn’t just about writing better ChatGPT prompts — it’s about understanding how to architect complex instructions, chain prompts together, and extract maximum value from any AI model.

What You’ll Master:

Advanced prompt design patterns and techniques
Creating effective system prompts for consistent results
Chain-of-thought reasoning and few-shot learning
Building prompt templates for common tasks
Debugging and iterating on prompts systematically
Model-specific optimization techniques
Ethical considerations in AI interaction

Why This Course Is Essential:

Prompt engineering is the skill that multiplies all your other AI abilities. Whether you’re building applications with LangChain or deploying agentic systems, knowing how to communicate precisely with AI models is foundational.

The bootcamp format means you get intensive, practical training with real exercises. You’ll learn techniques that work across different models — from GPT-4 to Claude to open-source alternatives. The 2026 update ensures you’re learning cutting-edge techniques, not outdated methods.

Real-World Applications:

10x your productivity with AI assistants
Build better AI-powered products
Create custom GPTs and AI tools
Optimize costs by reducing token usage
Develop AI applications that actually work reliably

Perfect If You’re:

Using AI tools daily and want to get more from them
Building AI features into products
Working as a product manager, designer, or developer

Here is the link to join this course — — The Complete Prompt Engineering for AI Bootcamp

3. LangChain — — Develop LLM Powered Applications with LangChain

Best For: Developers building production AI applications

LangChain has become the standard framework for building LLM-powered applications. This course teaches you to harness its power to create sophisticated AI systems that go far beyond simple chatbots.

What You’ll Build:

Complete LLM-powered applications from scratch
Retrieval-Augmented Generation (RAG) systems
AI agents that can use tools and APIs
Conversational AI with memory and context
Document analysis and question-answering systems
Custom chains for specific use cases

Core Concepts Covered:

LangChain architecture and components
Prompt templates and chains
Memory systems for conversational AI
Vector databases and embeddings
Integrating external tools and APIs
Building production-ready AI applications

Why LangChain Matters:

While you can technically build AI applications without frameworks, LangChain provides battle-tested abstractions that save months of development time. It handles the complex orchestration of prompts, manages conversation memory, integrates with vector databases, and provides easy tool connectivity.

The course goes beyond documentation — you’ll understand the design patterns and architectural decisions that make great AI applications. You’ll learn when to use chains versus agents, how to optimize for cost and latency, and how to handle errors gracefully.

Perfect If You’re:

A developer wanting to build AI features
Creating chatbots or AI assistants
Interested in RAG and document AI
Building internal AI tools for your company

Here is the link to join this course — — LangChain — — Develop LLM Powered Applications with LangChain

4. Building AI Agents & Agentic AI Systems via Microsoft AutoGen

Best For: Developers ready to build autonomous multi-agent systems

Welcome to the cutting edge of AI development. Agentic AI represents systems that can reason, plan, and execute tasks autonomously. AutoGen, Microsoft’s powerful framework, makes it possible to build sophisticated multi-agent systems where different AI agents collaborate to solve complex problems.

What You’ll Create:

Autonomous AI agents that accomplish goals independently
Multi-agent systems where agents collaborate
AI assistants that can use tools and execute code
Self-improving systems with feedback loops
Enterprise-grade agentic applications

Key Skills Developed:

Understanding agent architecture and design
Building agents with different roles and capabilities
Orchestrating agent conversations and collaboration
Implementing tool use and code execution
Managing agent memory and state
Debugging and monitoring agent behavior

Why AutoGen Is Revolutionary:

AutoGen represents a paradigm shift from single-model interactions to complex multi-agent orchestration. Imagine having a team of specialized AI agents — one for research, one for coding, one for testing, one for documentation — all working together on your projects.

The course teaches you to architect these systems, handle the complexity of agent communication, and build reliable systems that can tackle problems far beyond what a single AI model can handle.

Real-World Use Cases:

Automated software development workflows
Research and analysis systems
Customer service with specialized agents
Data processing pipelines with intelligent routing
Complex decision-making systems

Perfect If You’re:

Building advanced AI applications
Interested in autonomous systems
Working on AI research or innovation
Ready to push beyond basic LLM applications

Here is the link to join this course — Building AI Agents & Agentic AI Systems via Microsoft AutoGen

5. The Complete Agentic AI Engineering (2026)

Best For: Engineers wanting comprehensive coverage of modern agentic AI

This comprehensive course brings everything together — prompt engineering, LangChain, multi-agent systems, and the Model Context Protocol (MCP). It’s designed for engineers who want to master the complete agentic AI stack.

Comprehensive Coverage:

Building sophisticated AI agents from first principles
Implementing agentic workflows and patterns
Understanding and using the Model Context Protocol
Creating agents that can plan and reason
Memory systems and context management
Tool use and API integration at scale
Production deployment and monitoring

Advanced Topics:

Multi-agent coordination and communication
Implementing reasoning patterns (ReAct, Chain-of-Thought)
Building feedback loops for self-improvement
Handling failures and edge cases gracefully
Cost optimization for agentic systems
Security and safety considerations

Why This Course Completes Your AI Education:

While other courses teach you individual skills, this one shows you how everything fits together. You’ll understand the architecture of production agentic AI systems, learn best practices from real deployments, and avoid common pitfalls.

The 2026 edition includes the latest developments in agentic AI, including MCP for standardized agent communication, advanced reasoning techniques, and patterns for building reliable autonomous systems.

You’ll Be Able To:

Architect complete agentic AI solutions
Build agents that reliably accomplish complex goals
Implement multi-agent collaboration patterns
Deploy and monitor production agent systems
Optimize for both performance and cost

Perfect If You’re:

An engineer building serious AI systems
Interested in the complete agentic AI stack
Wanting to stay ahead of AI trends
Ready to build the future of autonomous AI

Here is the link to join this course — The Complete Agentic AI Engineering (2026)

How to Choose the Right AI Course for You?

Here is a simple to the point guide to choose the right course for you:

Start with The AI Engineer Course 2026: Complete AI Engineer Bootcamp if you’re completely new to AI and need foundational knowledge.

Jump into “Prompt Engineering Bootcamp” if you’re already using AI tools and want to become a power user immediately.

Pick “LangChain Development” if you’re a developer ready to build your first AI application.

Choose “AutoGen AI Agents” if you want to work on cutting-edge multi-agent systems.

Go with “Complete Agentic AI Engineering” if you want comprehensive coverage of modern agentic AI.

My Recommended Learning Path for 2026

Here’s how I’d approach learning AI skills in 2026:

Month 1–2: Foundation

Start with AI A-Z to understand fundamentals
Practice with the Prompt Engineering Bootcamp daily
Build small projects to apply what you learn

Month 3–4: Application Development

Dive deep into LangChain
Build 3–5 real applications (chatbots, RAG systems, etc.)
Focus on production-ready code, not just prototypes

Month 5–6: Advanced Agentic AI

Learn AutoGen and multi-agent systems
Take the Complete Agentic AI Engineering course
Build a complex multi-agent project

Throughout: Keep Practicing

Build side projects regularly
Contribute to open-source AI projects
Stay updated with AI news and papers
Join AI communities and share your work

Why Udemy for AI Learning?

Udemy’s courses offer several advantages for learning AI skills:

Practical, hands-on approach — You build real projects, not just watch theory
Affordable pricing — Often available for $10–15 during sales
Lifetime access — Learn at your own pace, revisit whenever needed
Updated content — Courses are regularly updated with new techniques
Active communities — Q&A sections help when you’re stuck

The AI Skills Gap Is Your Opportunity

There’s a massive shortage of people who can actually build with AI.

Companies are desperately seeking engineers who understand prompt engineering, can develop with LangChain, and know how to architect agentic systems.

These aren’t “nice to have” skills anymore — they’re becoming baseline requirements for modern developers. The good news? You can learn them right now, and the investment will pay dividends throughout your career.

Final Thoughts

That’s all about the best Udemy courses to learn AI skills in 2026. AI is the most transformative technology of our generation, and 2026 is the perfect time to build your skills. The field is mature enough to have great learning resources but still early enough that learning now gives you a massive advantage.

Each of these five courses teaches skills that complement each other. Start with one, master it, then move to the next. Within six months of dedicated learning, you can go from AI beginner to building sophisticated agentic systems.

The question isn’t whether AI will impact your career — it’s whether you’ll be creating the AI future or just reacting to it.

Start your AI journey today. The best time to learn was yesterday. The second-best time is now.

By the way, if you want to join multiple courses on Udemy then you can also checkout Udemy’s Personal Plan, where you get access to best of Udemy’s 11000+ courses for a monthly fee of $30.

If you want to join multiple courses then Udemy Personal Plan is actually a better deal. You can also try for free for 7 days to get a feel of it.

So, what are you waiting for? Pick a course, start learning, and join the AI revolution!

Happy Learning!

Thanks for reading this article so far. If you find these Udemy Courses for learning essential AI skills like Prompt Engineering, LangChain, and Agentic AI 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 a complete beginner on Agentic AI then I also recommend you to first go through a comprehensive course like The Complete Agentic AI Engineering (2026) Course, I highly recommend that to anyone who want to start with Agentic AI.

I Found Perfect Resources to Prepare for System Design Interview and They Are Awesome

2026-04-10T23:07:00.000-07:00

Hello guys, preparing for a technical interview in 2026 looks very different from what it did a few years ago.

With companies increasingly expecting engineers to demonstrate both coding proficiency and system design thinking, the tools you choose for your preparation can make or break your success.

Two names dominate the interview prep world — LeetCode and ByteByteGo.

LeetCode has been the go-to platform for coding problem practice for years, while ByteByteGo has emerged as a comprehensive, pattern-based learning ecosystem for mastering the why behind coding and design.

I found Leetcode for System Design, and it's Awesome

2026-04-09T08:04:00.000-07:00

credit- codemia.io

Hello Devs, if you're preparing for software engineering interviews, particularly MAANG, 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.

While there are many websites and platforms to prepare for System Design Interviews like ByteByteGo, DesignGurus.io, Exponent, Educative, and Udemy, there is nothing like LeetCode.

These are great resources to learn fundamentals, go through case studies, and understand the theory part of the System design, but LeetCode-style practice is one thing that is missing - 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 problems for practice, they also have a free System design 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 hours of content, but powerful and also has quizzes to test your skills. Here are all the key System design topics you can learn on this free course:

Now, let's check out how Codemia.io can help you to prepare better for your System design and OOP Design interview, and why I think it's like Leetcode for System design.

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.

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:
1. Functional and Non-Functional Requirements
2. Capacity Estimation
3. Database Schema and API Design
4. 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 solutions 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 it's 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 that will help you with the question and solution.

1. If you get stuck, AI provides hints --- just like LeetCode's hint system.

2. If you submit a design proposal, AI evaluates it against industry best practices.

3. 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

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

You can see that codemia.io has the highest number of practice problems, 120+ and growing. No other platform has that many questions, which is also a big plus point of this platform, and that's why I called it "Leetcode of System Design".

The second important point is an expert-written solution, also known as an editorial solution on this website. There are more than 80+ such solutions, which are a 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 are not available in other courses, though DesignGurus.io has 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 the platform, codemia.io has been especially designed for online practice, particularly for design questions.

It comes with Interactive learning tools, interactive feedback and evaluation, a chatbot, and a great design tool for drawing. No other platform supports so many features that are essential to master system design.

Then there is community, and you can also see the solutions 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 has 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 interviews. You may find courses, but it's 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 the 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.

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

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

I Tried 20+ Azure Developer Associate Certification Courses and Practice Tests: Here Are My Top 5 Recommendations

2026-04-08T06:03:00.000-07:00

Hello guys, in this AI age of Software Development, Cloud computing has become an essential skill for developers, and Microsoft Azure is one of the leading cloud platforms today.

If you’re a developer looking to build, deploy, and manage applications on Azure, getting the Microsoft Certified: Azure Developer Associate (AZ-204) certification is the best way to showcase your skills in 2026.

As an instructor, I highly recommend this certification because it validates your expertise in developing cloud applications and services on Azure.

It covers essential skills like Azure Functions, API Management, Cosmos DB, Azure Storage, and DevOps tools like Azure DevOps and GitHub Actions.

Since many companies are now moving their applications to Azure, increasing the demand for certified Azure developers.

Whether you are a backend developer, a cloud engineer, or a DevOps professional, the Azure Developer Associate certification will help you stand out in the job market.

To pass the AZ-204 exam, you need strong theoretical knowledge and hands-on experience with Azure. The best way to prepare is through online courses that offer both structured learning and practical labs.

Earlier, I have shared the best AZ 900 courses and today, I am going to share the best AZ 204 online courses and practice tests for the Azure Developer associate exam.

Udemy has some of the best courses to prepare for AZ-204, and I have selected the top five that will help you pass the exam on your first attempt.

By the way, if you are new to Azure then you can also start with this comprehensive course Microsoft Azure: From Zero to Hero — — The Complete Guide by solution architect Memi Levi. It’s a great resource to design and build modern cloud apps from a certified Azure Architect

5 Best Udemy Courses to Crack AZ-204 Exam in 2026 with Practice Tests

Without any further ado, here are the best Udemy courses you can join to prepare for AZ-204 certification exam and become a certified Azure developer. I have included both theory courses as well as practice test which you can take to asses your preparation level before real exam.

1. AZ-204 Developing Solutions for Microsoft Azure— JAN 2026

This is one of the best courses to prepare for the AZ-204 certification. It provides a comprehensive and practical approach to learning Azure development.

What you’ll learn:

Developing Azure Functions and API Management
Implementing Azure Storage solutions (Blob, Table, Queue, Cosmos DB)
Deploying applications on Azure App Services and Kubernetes
Monitoring and troubleshooting applications on Azure
Integrating security and authentication with Azure AD and Managed Identities

This course is fully up-to-date for the latest AZ-204 exam syllabus and includes hands-on labs to help you gain real-world experience.

Join here: AZ-204 Developing Solutions for Microsoft Azure — JAN 2026

2. Developing Solutions for Microsoft Azure (AZ-204)— Exam Guide

This course is great for exam preparation and includes detailed explanations of key concepts along with exam-focused content.

Key highlights:

Step-by-step walkthrough of AZ-204 exam topics
Real-world Azure development scenarios
Security, identity management, and authentication
Azure DevOps, CI/CD pipelines, and GitHub Actions
Azure Messaging Services — Event Grid, Service Bus, and Queue Storage

If you are looking for a structured and well-organized exam guide, this is a fantastic choice.

Join here: Developing Solutions for Microsoft Azure (AZ-204) — — Exam Guide

3. AZ-204 Microsoft Azure Developer Practice Tests

If you want to test your knowledge before the real exam, practice tests are essential. This Udemy course provides six full-length practice exams that simulate the real AZ-204 exam.

Why this course is useful:

5 Timed exams to improve speed and accuracy
175+ practice questions covering all AZ-204 domains
Detailed explanations for every question
Helps you identify weak areas for revision

Many students fail the first attempt because they don’t practice enough questions. These mock tests will ensure you are fully prepared for the exam.

Join here: AZ-204 Microsoft Azure Developer Practice Tests

4. Azure Crash Course — The basics with Hands-On in 3 hours!

If you’re short on time and need a quick refresher before the exam, this crash course is a great option. It provides concise explanations of all the important topics in less time.

What you’ll get:

Quick review of Azure services needed for AZ-204
Best practices for developing applications on Azure
Security and authentication concepts in a nutshell
Exam tips and tricks

This course is best for those who already have some Azure experience and just need last-minute revision before the exam.

Join here: Azure Crash Course — The basics with Hands-On in 3 hours!

5. Hands-On Azure Labs: Applying Practical Real-World Skills

This course is focused on real-world application development using Azure. If you want more than just certification and need to apply your Azure knowledge to real projects, this course is perfect.

While this course is created for AZ-104 and AZ-305 exam the 29 interconnected hands on Azure Lab Simulations will teach you how to build a complete cloud solution

Key topics covered:

Building serverless applications using Azure Functions
Developing microservices and deploying with Kubernetes
Implementing API Management and securing APIs
Working with Azure Storage and Cosmos DB
Deploying applications using CI/CD pipelines

If you want hands-on experience with Azure beyond just exam preparation, this course is highly recommended.

Join here: Hands-On Azure Labs: Applying Practical Real-World Skills

Conclusion

That’s all about the best Udemy courses to crack AZ-204 Exam in 2026. If you want to pass the Azure Developer Associate (AZ-204) exam, I highly recommend starting with Microsoft Azure Developer Associate (AZ-204) — — Hands-On Course.

This course covers everything you need for the exam and provides real-world experience with Azure services.

Good luck on your Azure certification journey!

Other Microsoft Azure and Cloud certifications you may like to explore

Thanks for reading this article so far. If you find these Microsoft Azure Administrator courses, AZ-104 useful, 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 are new to Microsoft Azure then I also suggest you to go through Microsoft Azure: From Zero to Hero — — The Complete Guide by solution architect Memi Levi. It’s one of the best online course to learn Azure in depth. If you need more choices, you can also see this article.

11 Best Microsoft Azure Courses for Beginners and Experienced Developers in 2026

A collection of best online courses to learn Microsoft Azure Cloud Platform and Azure DevOps in depth

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Is 101 Blockchains Academy’s Subscription Really Worth It in 2026? Review

2026-04-06T21:52:00.000-07:00

Hello guys, the blockchain and Web3 space has evolved rapidly over the past few years. With new roles emerging in AI, FinTech, Web3, and enterprise blockchain, professionals are constantly looking for reliable platforms that offer structured, career-focused learning.

Among the many platforms out there, 101 Blockchains Academy has positioned itself as one of the top destinations for professionals aiming to gain credibility through certifications and industry-recognized credentials.

The best thing is that they are offering 50% discount on their premium plan but with its Premium Plan priced at $900 many learners wonder — is it really worth it?

Let’s take a closer look.

1. What Is the 101 Blockchains Premium Plan?

The Premium Plan is the top-tier membership that provides unlimited access to every course, certification, and career path available on the platform.

It’s designed for professionals who want a complete blockchain, Web3, and AI learning package, including:

Unlimited access to 60+ professional courses
All AI and Blockchain certifications
Skill and Career Paths for guided learning
On-demand sessions and live events
Exclusive community membership and council access
CV and interview preparation support

The plan also includes members-only live research sessions and exclusive event invitations, which add real professional networking value that most competitors don’t offer.

Here is the link to learn more about it — Explore Blockchains 101 Premium Plan

2. How Does It Compare to Other 101 Blockchains Plans?

Now, let’s compare all the subscription plans and options 101 Blockchains provides you

1. Standard Plan — $300

Provides access to a limited selection of courses and certifications.
Ideal for beginners exploring blockchain or those who want to test the platform before committing to higher tiers.

2. Career Paths Plan — Starts at $159

Offers structured learning paths tailored for specific job roles in blockchain, Web3, and AI.
Best suited for career-focused learners who want a guided roadmap toward a particular professional goal.

3. Skill Paths Plan — Starts at $149

Focuses on targeted skill development in areas like DeFi, NFTs, the Metaverse, and more.
A great choice for upskilling professionals looking to enhance specific competencies rather than complete programs.

4. Premium Plan — $900

Grants unlimited access to all certifications, courses, and learning paths.
Designed for advanced learners and career changers who want a comprehensive, all-in-one membership for long-term learning.

If you plan to pursue multiple certifications or switch careers into blockchain or AI, the Premium Plan can actually save you money over time.

For example, individual certifications like the Certified Fintech Expert (CFTE) or Certified Blockchain Security Expert (CBSE) cost around $399 each — meaning the Premium Plan pays for itself after just two or three certifications.

3. What Certifications Are Included?

The Premium Plan unlocks access to all professional certifications offered by 101 Blockchains. These include both blockchain fundamentals and advanced AI-driven topics such as:

These certifications are recognized by top blockchain organizations and consulting firms, and the academy provides career-oriented learning paths that align directly with industry roles.

4. Strengths of the Premium Plan

✅ All-access membership:
You get unrestricted access to all learning materials, including blockchain, Web3, AI, and FinTech.

✅ Career-focused guidance:
Career paths, interview preparation, and CV support make it ideal for professionals transitioning into tech roles.

✅ Industry credibility:
Certifications like CEBP and CAIP are widely recognized, adding professional weight to your LinkedIn or CV.

✅ Community and networking:
The Premium membership opens up members-only live sessions, events, and council memberships — creating networking opportunities in a fast-growing industry.

✅ Continuous updates:
Courses are regularly updated to reflect the latest blockchain and AI trends, ensuring your skills stay relevant.

5. Weaknesses and Limitations

❌ High upfront cost:
At $900, it’s a serious investment. For learners who only want one or two certifications, individual purchases may be more cost-effective.

❌ Self-paced only:
While content is rich, the lack of instructor feedback or 1-on-1 mentorship can be a drawback for some learners.

❌ Specialized focus:
If your interests lie outside blockchain, Web3, or AI, the platform may not provide enough variety compared to Coursera or Udemy.

6. Verdict — Is the Premium Plan Worth It?

If you’re committed to building a career in blockchain, Web3, AI, or FinTech, the Premium Plan from 101 Blockchains is absolutely worth it.

It’s not just about the number of courses — it’s about structured learning, recognized certifications, and career guidance.

However, if you’re still exploring the field, the Standard Plan ($300) or Career Path bundles might be a better starting point before upgrading.

The great thing is that they are offering a huge discount on premium plan, up to 50% OFF which means you can get it for just $75 per month instead of $150 per month. I think this is the best time to join 101 Blockchains Academy and start your career in AI and Blockchains.

Here is the link to join — Join 101 Blockchains Plan for 50% OFF

Final Thoughts

That’s all in this review of 101 Blockchains Premium plan and whether its worth it or not. In a landscape full of generalist platforms, 101 Blockchains Academy stands out for its depth, credibility, and career relevance.

The Premium Plan is best suited for professionals serious about advancing in blockchain, Web3, and AI — and who want a one-time investment for long-term learning.

You can check the 101 Blockchains Premium Plan here and see if it fits your professional goals.

Other Blockchain and Technology articles 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 find them useful. If you have any questions or feedback, then please drop a note.

P. S. — If you are serious about learning Blockchain technologies and looking for the best Blockchain certification to start with then this Enterprise Blockchain Certification by 101 Blockchain is the best resource to start with. Many of my students and readers have taken this course and feedback has been awesome.

Review — Is Certified Enterprise Blockchain Professional Certification (CEBP) worth it?

Do you want to become a Blockchain professional and wondering whether to join 101 Blockchains CEBP — Certified…

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I Tried 50+ Software Development Courses on Educative: Here Are My Top 10 Recommendations

2026-04-06T06:58:00.000-07:00

image_credit — Educative.io

Today, I am going to share with you a relatively new online learning platform called Educative, a text-based, interactive learning platform. If you are an online learner like me, you might have heard about Educative or come across some of its excellent and most popular courses like Grokking the System Design Interview course, which I have mentioned earlier in my article about System design Interviews questions.

So, what is so special about Educative? How different is it from other popular online platforms like Udemy, Coursera, Pluralsight, and CodeCademy? Well, Educative is different because it is mainly a text-based learning platform that allows you to code and program right in the browser.

Unlike Udemy or Coursera, where you learn by watching videos, you learn more by reading and trying code samples in Educative.

There are some distinct advantages of learning by reading, particularly rich-text. For example, reading is always faster than watching videos, and I have seen many people just skipping to find out interesting information between long and boring videos.

With text, you can skip faster and also take notes easier. The Educative’s cutting-edge technology also allows you to run code in the browser. This means you can learn Python, Java, Ruby, JavaScript, and even C++ in the browser using Educative’s innovating code widgets.

In short, the Educative platform has a lot to offer as a platform and it’s worth looking at, but just the platform will not be enough unless you have some excellent courses that utilize the full potential of the platform and provide you an amazing learning experience and educative is full of them.

In this article, I am going to share with you the top 11 Educative Courses for Programmers and Software Engineers. You can check out these courses to level up essential skills for programmers like System design, Algorithms, Docker, Kubernetes, React, JavaScript, C++, and Dynamic programming. These are the truly useful skills to master and Educative’s interactive learning platform will help you to master them quickly.

Grokking the System Design Interview - Learn Interactively

System design questions have become a standard part of the software engineering interview process. Performance in these…

www.educative.io

My Favorite Educative Courses for Coding Interviews and Software Development in 2026

Without wasting any more of your time, here is a list of the best interactive, text-based courses from Educative for programmers and software engineers.

These interactive text-based courses have been created by experts and Educative’s state-of-the-art platform that makes learning easy with interactive quizzes, and the ability to run the program right from your browser.

1. Grokking the System Design Interview

This is actually the first and probably the best course I have seen on Educative. Created by Design Guru this course tackles the topic of System design.

If you have attended coding interviews then you may know that dealing with System design questions is not easy, especially if you don’t have much experience in real-world software development.

Things like caching, scalability, fault-tolerance, Microservices, database design are essential to design software but not easy to master.

This course provides an excellent introduction to all the things you can keep in mind while designing a new system like a website, an application, or just an app.

This interactive course is a must if you want to crack the coding interview but even if you are not preparing for an interview, you will learn a lot about software architect and design by going through this course which will eventually make you a better programmer.

Here is the link to join this course — Grokking the System Design Interview

2. Grokking the Coding Interview: Patterns for Coding Questions

This one is another fantastic course from the Educative platform for programmers. Unlike other online courses where you prepare for coding interviews by solving problems, this course will teach you how to find underlying coding patterns so that you can solve similar problems on coding interviews.

This technique of finding patterns and developing coding sense is a must if you want to crack a coding interview on companies like Google, Microsoft, Amazon, Apple, Facebook, NetFlix, or any FAANG companies.

Why? because they often give you a coding problem that you have never seen before. If you know how to break the problem into recognized patterns you can solve them.

I highly recommend this course to anyone who is preparing for coding interviews but just like the previous course, even if you are not preparing for an interview, you can join this course to improving your coding skill and become a better developer.

Here is the link to join this coding course — Grokking the Coding Interview Patterns

3. Grokking Dynamic Programming Patterns for Coding Interviews

This is the third course I have chosen from Educative for programmers preparing for coding interview and that’s because Educative really have the best collection of coding interview courses. This course tackles another difficult topic of Dynamic Programming from coding interviews.

If you don’t know Dynamic Programming is a technique to solve complex problems by breaking them down into smaller similar problems. It uses Recursion and Memoization to solve individual parts to eventually solve the bigger problem, but it’s not easy to master.

This course will give you all the knowledge you need to master Dynamic Programming and you will learn by solving the most popular dynamic programming problem from interviews so that you are ready to solve them when you really need them.

Here is the link to join this course —Grokking Dynamic Programming Patterns for Coding Interviews

4. Docker for Developers

If there is one tool every programmer should learn this year, then it should be Docker. If you don’t know what is Docker? then let me tell you that Docker is a container tool that solves the problem of executing a complex application with so many dependencies.

It also solves the problem of deployment on the scale because it bundles the application and all its dependency into a single Docker image (similar to a tar file) and you just have to deploy that image instead of setting up the whole environment by installing OS, shells, and different dependencies.

The best thing about Docker is that Docker containers are very lightweight and can be deployed on any physical and virtual machines, which makes them ideal for cloud deployments like AWS, GCP, and Azure.

This course, Docker for Developers will teach you all the things a Developer should know about Docker, and Educative’s interactive learning platform means you will learn Docker by practicing and doing hands-on exercise

Here is the link to join this interactive course — Docker for Developers

5. A Practical Guide to Kubernetes

Along with Docker, Kubernetes is another tool that is taking the world by storm. It takes the container deployment to the next level.

While Docker solves the problem of application deployment by bundling application code, dependency, and runtime environments like OS and Java, .NET, and Node into a single Docker image file, it is still not easy to spawn and manage hundreds and thousands of container depending upon scalability needs.

Kubernetes solves this problem by automating container management. It can automatically create new containers when your traffic doubles up and can shut them down when your application load returns to normal.

If you aspire to become a DevOps engineer or just want to become a full-stack developer, learning Kubernetes can enhance your profile and this course can really help you to learn Kubernetes in depth.

Here is the link to join this Kubernetes course — A Practical Guide to Kubernetes

6. The Good Parts of AWS: Cutting Through the Clutter

AWS is another skill that I think every developer should acquire, not just to enhance their profile and CV but also to learn how the application will be executed in the near future.

Since cloud computing is the future of software development and more and more applications are now run from the Cloud, it becomes imperative for a developer to know how the cloud works and how essential things like computers, memory, storage, and network are provisioned.

but, learning AWS can be tedious and time-consuming with so many services and their options, that’s where this course help. This course teaches you the good and essential parts of AWS.

You won’t find most of the knowledge shared in this course anywhere else or in the AWS docs. The goal here is to help you realize which AWS features you should be using — features that have passed the test of time by being at the backbone of most things on the Internet.

Here is the link to join this AWS course — The Good Parts of AWS

7. The Complete Guide to Modern JavaScript

There is no doubt that JavaScript is the kind of web development, the most lucrative path of Software development but JavaScript has changed a lot in the last few years. It’s not the same JavaScript you and I learned as part of our client-side validation 10 years ago.

Modern JavaScript is a much more powerful programming language including both OOP and Functional programming features to write clean and concise code. This course, The Complete Guide to Modern JavaScript will guide you from the basics of the language to all the new features introduced up until now.

Whether you are a beginner to JavaScript or already have some experience, this course will only enhance your JavaScript knowledge and make you a better developer.

You’ll also test your knowledge with quizzes and some coding challenges by using the Educative’s interactive online learning platform.

Here is the link to join this awesome course — The Complete Guide to Modern JavaScript

8. C++17 in Detail: A Deep Dive

Apart from coding interview courses, C++ is another topic where Educative have the best courses. They have courses covering individual C++ areas like Template, Embedded programming, and then courses like this one which goes deep on C++17.

This course describes all the significant changes in C++17 and will give you the essential knowledge to stay at the edge of the latest features. What’s more, each section contains lots of practical examples and uses a bottom-up approach to give you a more comfortable start

If you want to take your C++ skills to the next level then I highly recommend this course to you and if you want, you can also check out their other C++ titles.

You know what, you can actually take an Educative subscription to try out all these courses instead of buying them individually. It’s a much better deal because with the cost of $18 per month you get access to their 140+ course library.

Here is the link to join this C++ course — C++17 in Detail: A Deep Dive

9. Java Multithreading for Senior Engineering Interviews

As I said, Educative have the best online courses for preparing for programming job interviews, and concurrency is one of the key skills for coding interviews. It’s not just important to pass the interview but also to work on today’s high-performance and highly concurrent applications.

Concurrency in Java is one of the most complex and advanced topics brought up during senior engineering interviews. Knowledge of Concurrency and Multithreading can put interviewees at a considerable advantage.

This course lays the foundations of advanced concurrency and multithreading and explains concepts such as Monitors and Deferred Callbacks in depth. It will also teach you how to solve popular concurrency coding problems that can be asked about in interviews like the Reader-Writer Problem and the Dining Philosopher Problem.

Whether you are a beginner or an experienced Java programmer, I highly recommend this course to you if you want to take your concurrency skills to the next level

Here is the link to join this thread course — Java Multithreading for Senior Engineering Interviews

10. The Road to React: The One with Hooks

There is no doubt that React.js is the number one framework for frontend development. Just like JavaScript is a kind of Web development and Python is the king of Data Science, React is also the most important for any frontend developer.

You may know to React already but the thing is that React.js keeps changing and introduced a new feature in every release and it’s not easy to keep up with them and that’s where this course help.

In this course you will take a deep dive into React fundamentals, covering all new React concepts including Hooks. I do address some legacy features in case you’re working with an older codebase, but the majority of this course will focus on working with modern React.

You will learn how to style your app, techniques for maintaining your app, and some more advanced concepts like performance optimization.

Here is the link to join this React course — The Road to React: The One with Hooks

11. Web Application and Software Architecture 101

Software architecture is one topic that many developers don’t pay the required attention to. Unfortunately, there are also not good materials available to learn about different software architecture, their pros and cons together.

You need to search hard and need to know how to find those gem of articles and you may find them if you are really lucky but for most of us it just passes by and so this useful topic remains weak. This course solves that problem by explaining everything about Software architecture programmers need to know.

If you’re looking for a complete course on web application and software architecture, I recommend checking out this Web Application and Software Architecture 101 course on Educative. This is a useful course for anyone looking to strengthen their overall knowledge of software architecture.

Here is the link to join this awesome course — . Web Application and Software Architecture 101

That’s all about the 11 best Educative Courses for Programmers and Software Engineers. This list includes courses that are very good for preparing programming interviews like Grokking series as well as some awesome courses to learn tools like Docker and Kubernetes and programming languages like Python, Java, C++, and JavaScript.

If you find these online courses and Educative platforms useful then you can also consider getting an Educative Subscription which gives you access to their 100+ courses for just $14.99 USD per month.

Sometimes you need this flexibility of joining a course you want instead of purchasing it. It’s also a better deal if you are going to attend more than a couple of courses on Educative in a year.

Other Useful Resources for Programmers and Developers

Thanks for reading this article so far. If you find these online courses and Educative platforms useful then please share with your friends and colleagues. If you have any questions or feedback then please drop a note. Learning has never been so easy and fun.

P. S. — If you are looking for some free courses to explore the Educative platform and their interactive learning tools then I also suggest you check out my earlier article about 10 Free Educative courses for Programmers and Developers. There I have mentioned free Educative.io courses for programmers to learn Java, Python, C++, JavaScript, and Web development.

Learn Python 3 from Scratch - Free Interactive Course

Learn Python 3 for free with this interactive course, and get a handle on the most popular programming language in the…

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I Tried 100+ AI Courses on Udemy: Here Are My Top 5 Recommendations for AI Engineers

2026-04-04T23:41:00.000-07:00

Hello guys, AI is hot now, I mean really hot. While tech jobs are declining and its not easy to get a job in Tech as it was before, the AI related jobs are flooding the market.

Just search for AI Engineer jobs on LinkedIn and you will find it all kinds of companies are looking for AI Engineers.

and why not? Artificial Intelligence (AI) is transforming industries at an unprecedented pace, making AI engineering one of the most sought-after career paths.

From natural language processing (NLP) to machine learning (ML) and large language models (LLMs), AI engineers play a crucial role in developing intelligent applications, automating tasks, and improving decision-making across various domains.

If you’re looking to break into AI engineering or advance your skills, and looking for resources to star with then you have come to the right place.

In the past, I have sharedbest AI courses, best ChatGPT courses, AI Engineer RoadMap, and best courses to learn deep learning and today, I am going to share best online courses from Udemy to become an AI Engineer in 2026.

When it comes to learning new skills, Udemy is one of the best place. It not only is most affordable but also offers several high-quality courses that provide hands-on training, real-world projects, and industry-relevant knowledge.

In this article, we’ll explore the top five Udemy courses to become an AI engineer in 2026, by the way, if you just need one course to start with then I suggest you to join The AI Engineer Course 2026: Complete AI Engineer Bootcamp course on Udemy. It’s one of the most complete course to become an AI Engineer/Developer in 2026.

Why become an AI Engineer in 2026?

AI engineering is one of the fastest-growing career fields, with an increasing demand for professionals skilled in machine learning, deep learning, and AI development.

Here are some key reasons why pursuing AI engineering is a great choice in 2026:

High Salary Potential: AI engineers earn some of the highest salaries in the tech industry, with median salaries ranging from $120,000 to $200,000 per year, depending on experience and location.
In fact, if you spend time, you can also become Principle AI Engineer which is a senior level job on many banks and other companies and offer handsome package.
Strong Job Market: AI adoption is expanding across industries like healthcare, finance, retail, and cybersecurity, increasing the demand for AI professionals.
Diverse Career Paths: AI engineers can work in various domains, including natural language processing, computer vision, reinforcement learning, and AI ethics.
Impactful Work: AI engineers contribute to solving real-world problems, from medical diagnostics to self-driving cars and personalized recommendations.

Now, let’s dive into the best Udemy courses to help you build the skills necessary to become a proficient AI engineer in 2026.

By the way, its expected from AI Engineer to know Python and if you don’t know Python its better to first learn Python before jumping into AI and ML related skills.

If you need a resource, I highly recommend you to start with 100 Days of Code: The Complete Python Pro Bootcamp by Angela Yu.

Based upon #100DaysOfCode missing this is also one of the most popular Python course on Udemy with more than 1.5 million students. I highly recommend this to anyone starting with Python in 2026.

5 Best Udemy Courses to become an AI Engineer or Developer in 2026

Without any further ado, here are the Udemy courses you can join to become an AI Engineer in 2026. These courses are carefully chosen to give you broader knowledge about different fields like foundation, Machine Learning, Deep Learning, Advanced AI, Tools and Frameworks like NumPy, TensorFlow, Pandas, Hugging Face etc.

1. The AI Engineer Course 2026: Complete AI Engineer Bootcamp

This comprehensive course is one of the best choices for anyone looking to become an AI engineer. Covering everything from Python programming to advanced deep learning and large language models (LLMs), this bootcamp provides a structured approach to mastering AI technologies.

Here are things you will learn in this course.

Python programming for AI development
Fundamentals of natural language processing (NLP) and transformers
Implementing large language models (LLMs) using Hugging Face and LangChain
API integration for AI-driven applications
Practical AI engineering projects and real-world case studies

Instructor: 365 Careers

Level: Beginner to Advanced

Why Take This Course?

Covers all essential AI engineering topics in a structured manner

2. Hands-on projects for real-world AI applications

3. Includes training on cutting-edge AI tools like Hugging Face and LangChain

Here is the link to join this course —The AI Engineer Course 2026: Complete AI Engineer Bootcamp

2. Deep Learning A-Z: Hands-On Artificial Neural Networks

Deep learning is at the core of AI engineering, and this course provides a hands-on approach to building deep neural networks.

In this course, you’ll learn about artificial neural networks (ANNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs) using Python and TensorFlow.

Instructor: Kirill Eremenko, Hadelin de Ponteves

Level: Beginner to Intermediate

What You Will Learn:

Building deep learning models from scratch
Understanding and implementing CNNs, RNNs, and LSTMs
Real-world applications in image recognition and NLP
Hyperparameter tuning and model optimization

Why Take This Course?

✅ Great introduction to deep learning for AI engineers

✅ Includes practical examples and real-world applications

✅ Covers advanced topics like generative adversarial networks (GANs)

Here is the link to join this course — — Deep Learning A-Z: Hands-On Artificial Neural Networks

3. Machine Learning A-Z: AI, Python & R for Data Science

This is one of Udemy’s most popular AI courses, covering the fundamentals of machine learning and artificial intelligence. It is ideal for beginners who want to understand AI algorithms and implement them using Python and R.

Instructor: Kirill Eremenko, Hadelin de Ponteves

Level: Beginner to Intermediate

What You will Learn:

Supervised and unsupervised learning techniques
Building ML models using Python and R
Real-world applications in finance, healthcare, and business analytics
Feature engineering, data preprocessing, and model evaluation

Why Take This Course?

✅ Covers both Python and R implementations

✅ Hands-on projects to build a strong portfolio

✅ Excellent for beginners in AI and machine learning

Here is the link to join this course — Machine Learning A-Z: AI, Python & R for Data Science

4. NLP —Natural Language Processing with Python

Natural Language Processing (NLP) is a crucial field in AI, powering chatbots, voice assistants, and text analytics. This course focuses on using Python and machine learning techniques to build NLP applications.

Instructor: Jose Portilla

Level: Intermediate

What You Will Learn:

Text preprocessing and feature extraction
Sentiment analysis and topic modeling
Building chatbots and AI-powered text applications
Deep learning methods for NLP, including transformers

Why take this course?

✅ Practical implementation of NLP techniques

✅ Covers both classical machine learning and deep learning approaches

✅ Helps build AI applications like chatbots and virtual assistants

Here is the link to join this course — — NLP —Natural Language Processing with Python

5. LLM Engineering: Master AI, Large Language Models & Agents

If you’re new to AI and want to understand how AI and Large Language Model or LLM works at a conceptual level, this course on Udemy is a must-take.

It is designed for beginners who want to explore AI’s applications and impact and want to learn foundational AI knowledge and key concepts.

Instructor: Ed Donner and Ligency Team

Level: Beginner

What You Will Learn:

The fundamentals of AI, deep learning, and ML
How AI is transforming industries
Key AI concepts like supervised vs. unsupervised learning
Ethical considerations and the future of AI

Why take this course?

✅ Ideal for beginners looking to understand AI basics\

✅ Taught by one of the leading AI researchers

✅ Helps you decide how to apply AI in your career

Here is the link to join this course — — LLM Engineering: Master AI, Large Language Models & Agents

2026 AI Engineer RoadMap

Here is also a nice AI Engineer RoadMap for 2026 where you will find all the skills you need to become a true AI Engineer companies are looking for. It contains:

Foundation (Mathematics and Programming)
Machine Learning Basics
Deep Learning
Advanced AI Concepts
Tools & Frameworks
MLOps etc

While it can take up to 2 to 3 years if you were to master all these technology, I think you should be able to apply for jobs with few months of learning and then continue your learning in parallel.

Conclusion

That’s all about 5 best Udemy Courses to become an AI Engineer or Developer in 2026. As I have said, becoming an AI engineer in 2026 is a rewarding career move, with immense opportunities in industries ranging from healthcare to finance, robotics, and beyond.

Udemy offers a variety of high-quality courses to help you gain AI skills, from beginner-friendly introductions to advanced machine learning and deep learning training.

If you’re serious about becoming an AI engineer, The AI Engineer Course 2026 is the best choice, covering LLMs, transformers, and API integration. For those interested in deep learning, “Deep Learning A-Z” provides a hands-on approach.

No matter where you are in your AI journey, these courses will equip you with the skills needed to succeed in one of the most exciting fields in tech.

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 Machine Learning and AI Resources for Programmers

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 list of the best Python courses to kick-start your journey.

10 Best Udemy Courses to Learn AI, ChatGPT and Machine Learning in 2026

The ultimate guide to mastering AI with Udemy’s top-rated courses

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I Tried 50+ Datacamp Courses: Here Are My Top 10 Recommendations for 2026

2026-04-04T02:40:00.000-07:00

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

10 Free Data Science Online Courses for Beginners to Join in 2026

Collection of best free Data Science online courses for beginners from Udemy, Coursera, Datacamp, freeCodeCamp, and…

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I Tried 30+ Frontend Masters Courses: Here Are My Top 5 Recommendations for 2026

2026-04-03T20:50:00.000-07:00

Hello guys, in the fast-paced and ever-evolving field of web development, continuous learning is not just beneficial — it’s essential.

Staying ahead of the curve requires an ongoing commitment to expanding your skillset, understanding new technologies, and mastering the tools that drive modern web applications.

For developers looking to elevate their expertise and career prospects in 2026, Frontend Master offers some of the most comprehensive and engaging courses available.

Frontend Master has established itself as a premier online learning platform, known for its high-quality, in-depth courses tailored to both beginners and experienced developers.

Whether you’re aiming to grasp the fundamentals of web development, delve into complex algorithms, or master a powerful front-end library like React, Frontend Master has a course designed to meet your needs.

In this article, we’ll explore the top 5 Frontend Master courses you should consider taking in 2026. These courses have been selected based on their relevance, comprehensiveness, and the practical skills they impart.

From mastering algorithms and JavaScript to becoming proficient in React and understanding the full stack, these courses will equip you with the knowledge and hands-on experience needed to excel in the competitive world of web development.

Let’s dive in and discover how each of these courses can help you achieve your learning and career goals.

By the way, if you are in hurry, then you can just go and join Frontend Masters now, you will thank me later after watching their high-quality courses.

They are also offering 17% discount on their annual plan. This is a rare opportunity to get access of 200+ premium courses, guided learning paths, and new platform features, all at a fraction of the cost.

Whether you want to master JavaScript, React, or DevOps, now’s the time to join and level up your skills. Don’t miss out — the sale ends on 18th September!

👉 Join today and save 17% on your yearly membership!

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5 Best Frontend Masters courses for Web Developers in 2026

Here is a list of best courses web developers can join in Frontend masters to learn essentials web development skills like JavaScript and React.

1. The Last Algorithms Course You’ll Need

Algorithms are the backbone of efficient programming, and mastering them can significantly elevate your problem-solving skills.

“The Last Algorithms Course You’ll Need” is designed to provide an in-depth understanding of algorithms, covering everything from basic sorting and searching to advanced topics like dynamic programming and graph algorithms.

Key Highlights:

Comprehensive Curriculum: This course covers a wide range of algorithms, ensuring that you are well-equipped to tackle any coding challenge.
Hands-on Learning: With numerous coding exercises and real-world problems, you’ll gain practical experience in implementing algorithms.
Expert Instruction: Taught by seasoned professionals, the course offers insights and tips that you won’t find in textbooks.

Why You Should Enroll:

Mastering algorithms not only enhances your coding efficiency but also prepares you for technical interviews and competitive programming.

This course ensures that you have a solid foundation in algorithms, making it a must-have for any developer’s skillset.

Here is the link to join this course — The Last Algorithms Course You’ll Need

2. JavaScript: From First Steps to Professional

JavaScript is the lingua franca of the web, and proficiency in it is essential for any front-end developer.

The “JavaScript: From First Steps to Professional” is a comprehensive course that takes you from the basics of JavaScript to advanced concepts, making you a proficient JavaScript developer.

Key Highlights:

Beginner to Advanced: The course starts with the fundamentals of JavaScript and progressively covers advanced topics like closures, prototypes, and asynchronous programming.
Project-Based Learning: You’ll build real-world projects that reinforce your learning and demonstrate your skills.
Modern JavaScript: The course covers the latest features of JavaScript, including ES6+ syntax and features.

Why You Should Enroll:

JavaScript is at the heart of modern web development. This course provides a thorough grounding in JavaScript, ensuring that you are well-prepared to develop dynamic and interactive web applications.

Here is the link to join this course — JavaScript: From First Steps to Professional

3. Complete Intro to React, v8

React has become one of the most popular libraries for building user interfaces.

The “Complete Intro to React, v8” is the definitive course for learning React, covering everything from the basics to advanced concepts like hooks, context, and performance optimization.

Key Highlights:

In-Depth React: The course covers the core concepts of React, including JSX, state, props, and lifecycle methods.
Modern React Practices: You’ll learn about the latest React features such as hooks and context API, ensuring you stay current with industry practices.
Practical Projects: By building a series of projects, you’ll gain hands-on experience in creating React applications.

Why You Should Enroll:

React is a powerful tool for building dynamic web applications. This course equips you with the skills needed to create complex and performant React applications, making you a valuable asset to any development team.

Here is the link to join this course — Complete Intro to React, v8

4. Full Stack for Front-End Engineers, v3

Understanding the full stack is crucial for front-end engineers who want to build robust and scalable web applications. “Full Stack for Front-End Engineers, v3” bridges the gap between front-end and back-end development, providing a comprehensive understanding of both.

Key Highlights:

Comprehensive Coverage: The course covers front-end technologies like React and back-end technologies like Node.js, Express, and databases.
Real-World Applications: You’ll build full-stack applications, gaining practical experience in integrating front-end and back-end components.
Deployment and DevOps: Learn how to deploy your applications and manage them in a production environment.

Why You Should Enroll:

Full-stack knowledge allows you to understand and contribute to the entire development process, from design to deployment. This course empowers you with the skills to build and maintain complete web applications, enhancing your versatility as a developer.

Here is the link to join this course — Full Stack for Front-End Engineers, v3

5. Complete Intro to Web Development, v3

For those new to web development, “Complete Intro to Web Development, v3” offers a comprehensive introduction to the field. This course covers the essential technologies and concepts needed to build modern web applications, from HTML and CSS to JavaScript and beyond.

Key Highlights:

Foundational Skills: Learn the basics of HTML, CSS, and JavaScript, the core technologies of web development.
Interactive Learning: The course includes interactive coding exercises and projects to reinforce your learning.
Modern Web Development: Get introduced to modern web development practices and tools, including responsive design and version control with Git.

Why You Should Enroll:

This course provides a solid foundation in web development, making it ideal for beginners. By the end of the course, you’ll have the skills needed to build your own web applications and continue your learning journey in more advanced topics.

Here is the link to join this course — Complete Intro to Web Development, v3

Conclusion

That’s all about the 5 Best Frontend Masters courses to Learn Web Development in 2026. Investing in your education and skills is one of the best ways to advance your career in web development.

These top 5 Frontend Masters courses for 2026 offers a blend of theoretical knowledge and practical experience, ensuring that you are well-prepared to tackle the challenges of modern web development.

Whether you’re looking to master algorithms, become proficient in JavaScript, dive into React, understand the full stack, or get started with web development, these courses have you covered.

Enroll today and take the next step in your development journey!

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Other Frontend Masters Articles you may like to read

Thank you for reading this article so far. If you like these frontend masters courses and my review then please share with your friends and colleagues. If you have any questions or doubts then feel free to ask.

P. S. — If you are keen to level up your frontend skills then joining frontend master can be a great first step as they have awesome courses to learn valuable frontend skills. 👉 Join today and save 17% on your yearly membership!

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Best Java Fundamentals Course in 2026? Angie Jones on Frontend Masters Reviewed

2026-04-02T20:52:00.000-07:00

Hello guys, today I am going to review a Java course from Frontend Master created by none other than, Java Champion, Angie Jones.

I was initially surprised to find this course on Frontend Maser because I always thought Frontend Master is more about JavaScript and related technologies.

As I said, For long time, I thought Frontend Masters is just for frontend web development but I was pleasantly surprised to find the backend related course, particularly one which is focused on Java and even more because it was created by Angie who I have been following on Twitter for a long time.

Anyway, Frontend Masters is renowned for providing high-quality programming courses, and “Java Fundamentals” is no exception. Similar to frontend masters popular web development courses, this one is also a gem and one of the best online courses to learn Java.

In this article, we will delve into the course content, instructor credentials, teaching approach, and the overall value it provides to help you determine if it’s worth your investment.

Review — Is Java Fundamentals by Angie Jones on Frontend Masters worth it?

The “Java Fundamentals” course on Frontend Masters, taught by Angie Jones, aims to equip beginners and individuals seeking to refresh their Java skills with a solid foundation in Java programming.

The course covers crucial concepts, syntax, and best practices necessary for building Java applications.

1. Instructor Credentials — Who is Angie Jones?

If you don’t know, Angie Jones is a distinguished software engineer, automation expert, and international speaker with extensive experience in the industry.

She has worked for notable tech companies such as IBM, Twitter, and Apple, specializing in Java programming and automation testing.

She is also one of the popular Java champion and runs testautomation site for quite sometime where he provide training on Java to automation tester.

Angie’s expertise and professional background make her a suitable instructor for the “Java Fundamentals” course.

2. Course Content and Structure

The course is structured to cover Java fundamentals systematically. It starts with an introduction to Java, explaining its benefits and how it fits into the programming landscape.

From there, it delves into key topics such as variables, data types, control flow, object-oriented programming principles, exception handling, input/output operations, and more.

Angie Jones ensures that each concept is explained clearly and provides practical examples to illustrate their usage. The course also includes coding exercises and quizzes to help reinforce learning and test your understanding of the material.

The course content is structured systematically to cover Java fundamentals comprehensively. Here’s an overview of the topics covered:

Introduction
Angie Jones introduces the course, provides her professional background, and guides learners through the setup process, including installing IntelliJ and Java.

Conditions & Loops
This section covers essential concepts such as variables, control flow, if statements, switch statements, loops (while, do-while, and for), and nested loops.

Methods, Objects & Data Types:
Angie delves into methods, object-oriented programming principles, variable scope, constructors, instantiating objects, sending and receiving objects, records, wrapper classes, and more.

Arrays & Text Processing
This section explores arrays, random number generation, working with strings, text blocks, and string manipulation using StringBuilder.

Inheritance
Angie covers the topic of inheritance, discussing how classes extend other classes, overriding methods, overloading methods, limiting access, and sealed classes.

Polymorphism & Abstraction
In this part, you will understand polymorphism, type casting, instanceof operator, abstract classes, interfaces, and multiple inheritance.

Data Structures
This segment provides an overview of Set, List, Queue, and Map data structures, along with their usage and operations.

Functional Interfaces & Streams
Angie introduces functional interfaces, streams, intermediate and terminal operations, filtering, mapping, reducing, and utilizing the collect operation.

Exceptions
Error handling is an important part of processional coding and in this part you will learn exception handling, checked and unchecked exceptions, multiple exception handling, file handling, throwing and rethrowing exceptions.

Teaching Approach

Angie Jones employs an engaging teaching style, breaking down complex concepts into easily understandable parts.

She emphasizes practical applications of Java, illustrating real-world scenarios and best practices.

The course includes coding exercises, demonstrations, and explanations to ensure learners comprehend the material thoroughly.

Value and Benefits

One of the thing you should look before joining any course is the value it provide as there are a lot of option of and you cannot try everything. The “Java Fundamentals” course on Frontend Masters offers several benefits:

1.Comprehensive Coverage
The course covers a wide range of fundamental Java topics, providing a solid foundation for further Java development or automation testing.

2. Practical Examples
Angie Jones focuses on real-world applications and industry best practices, enabling learners to understand how Java concepts are implemented in professional scenarios.

3. Experienced Instructor
If you don’t know Angie is a Java Champion and also running test automation training for a long time. With Angie Jones’ industry expertise and extensive experience in Java programming, learners can benefit from her valuable insights and guidance.

5. Interactive Learning
The course incorporates coding exercises, quizzes, and demonstrations, allowing learners to actively participate, reinforce their understanding, and assess their progress.

6. Reputation and Platform Quality
Frontend Masters has a strong reputation for delivering high-quality courses, ensuring that the “Java Fundamentals” course maintains a standard of excellence.

Here is the link to join this course — “Java Fundamentals”

Conclusion

That’s all about this awesome course to learn Java on Frontend Masters. The “Java Fundamentals” course by Angie Jones on Frontend Masters is a valuable investment for beginners and those seeking to enhance their Java programming skills.

Angie’s expertise, the course’s comprehensive content, practical examples, and interactive learning approach provide learners with a solid foundation in Java.

While the course offers substantial value, supplementing it with additional practice, resources, and real-world projects will further enhance your skills and proficiency in Java programming.

You can learn more about this course here — “Java Fundamentals”

Java Fundamentals | OOP & Functional Programming in Java | Course by Angie Jones

Learn Java, one of the most popular programming languages in the world, especially for enterprise applications! Learn…

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Other Frontend Masters Resources you may like to read

Thank you for reading this article till the end. If you like these Frontend masters courses then please share with your friends and colleagues. If you have any questions or doubts then feel free to ask.

P. S. — If you are keen to level up your frontend skills then joining frontend master can be a great first step as they have awesome courses to learn valuable frontend skills, you can join Frontend Masters now and even get a 17% discount on their annual plan.

Pricing

Unlimited learning with 250+ courses, live workshops, and mobile apps to level up anywhere Elijah Manor Austin Akers…

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I Tried 30+ Prompt Engineering Courses: Here Are My Top 5 Recommendations for 2026

2026-04-02T08:19:00.000-07:00

Hello guys, as AI taking over the coding world, prompt Engineering is quickly becoming one of the most valuable skills for software developers like you and me.

Whether you’re working with ChatGPT, Claude, Gemini, or any other large language model (LLM), your ability to craft effective prompts directly affects the quality and accuracy of the AI’s response.

As companies, both big and small, from banks to services based companies like TCS and Infosys, increasingly adopt AI tools to boost productivity, the demand for professionals who understand how to communicate effectively with these models is skyrocketing.

But here’s the catch — — Prompt Engineering is not just about giving instructions. It’s a hybrid skill that blends creativity, logic, programming literacy, and a deep understanding of how language models work.

Whether you’re a Software developer, web developer, a data analyst, content creator, or product manager, knowing how to structure prompts gives you a competitive edge.

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 Prompt Engineering in 2026.

Udemy, with its vast collection of affordable and high-quality courses, is one of the best platforms to start or deepen your prompt engineering journey.

In this post, I’ve curated the 7 best Udemy courses to learn Prompt Engineering in 2026, based on depth, relevance, instructor experience, and hands-on value.

By the way, if you are in rush then you can just go ahead and start with ChatGPT: Complete ChatGPT Course For Work 2026 (Ethically)! course on Udemy. This is the latest and most up-to-date course on ChatGPT on Udemy.

5 Best Prompt Engineering courses on Udemy in 2026

Without any further ado, here are the best prompt engineering courses you can join on Udemy in 2026

1. The Complete Prompt Engineering for AI Bootcamp (2026)

This course is a comprehensive guide not only to ChatGPT and prompting, but also GitHub Copilot.

In this course, you will learn practical coding skills for working professionally with AI, including GPT-4, Stable Diffusion, and GitHub Copilot.

It’s great for learners who want to explore a variety of AI tools and understand how prompt structures differ across use cases.

What you’ll learn:

ChatGPT 4 prompt writing techniques
Prompting for creative tasks vs analytical tasks
Using GitHub Copilot for code generation.
AI prompt strategies for entrepreneurs and freelancers
Learn the “Five Principles of Prompting”, as well as common tips & tricks for professional grade output.

Here is the link to join this course — — The Complete Prompt Engineering for AI Bootcamp (2026)

2. Practical Prompt Engineering Masterclass: Hands-On Learning

Created by Asif Farooqui, this course focuses solely on mastering the art and science of Prompt Engineering. The instructor emphasizes real-world examples, which makes it highly practical.

What you’ll learn:

Prompt templates for different professional use cases
How to debug prompts when results go wrong
Prompt Engineering ethics and limitations
Role prompting and chain-of-thought strategies

Here is the link to join this course — — Practical Prompt Engineering Masterclass: Hands-On Learning

3. ChatGPT Masterclass: The Guide to AI & Prompt Engineering

This is one of the most in-depth courses for developers. It blends theory with applied use cases and includes prompt crafting for software development, product design, and marketing content.

What you’ll learn:

Zero-shot, one-shot, few-shot prompting
Using ChatGPT with APIs for task automation
Prompt strategies for code generation and debugging
Building tools on top of GPT-based APIs

Here is the link to join this course — — ChatGPT Masterclass: The Guide to AI & Prompt Engineering

4. The Complete AI Guide: Learn ChatGPT, Generative AI & More

Perfect for beginners and non-coders. This course focuses on everyday productivity tools powered by AI and how to use ChatGPT for tasks like writing, email automation, summarization, and brainstorming.

Most importantly you will learn to combine the power of ChatGPT with programming fundamentals, algorithms, debugging, and documentation!

What you’ll learn:

Prompt frameworks like PASTOR and ACT
Best practices for business communication
Tools like Notion AI, Google Bard, and ChatGPT
Case studies in marketing and HR

Here is the link to join this course — — The Complete AI Guide: Learn ChatGPT, Generative AI & More

5. ChatGPT Complete Course — — Prompt Engineering for ChatGPT

This one is a very accessible introduction with a step-by-step approach. This course is aimed at complete beginners and teaches you how to think like a prompt engineer.

What you’ll learn:

Core building blocks of an effective prompt
Structured and iterative prompt techniques
Common pitfalls and how to avoid vague outputs
Role-based prompting for personas

Here is the link to join this course — — ChatGPT Complete Course — — Prompt Engineering for ChatGPT

6. LLM Engineering: Master AI, Large Language Models & Agents

This course is ideal for developers and engineers looking to build LLM-powered apps. It focuses on using LangChain — — a framework that allows advanced orchestration of prompts and memory with OpenAI.

What you’ll learn:

Prompt templates with LangChain
Contextual memory and chaining techniques
Integration with OpenAI API
Building chatbots and autonomous agents

Here is the link to join this course — — LLM Engineering: Master AI, Large Language Models & Agents

7. Prompt Engineering: Getting Future Ready (1000+ Prompts inc)

This course targets intermediate to advanced users who want to go beyond simple prompting. It covers the latest techniques like prompt chaining, few-shot learning, and integrating tools with ChatGPT.

It share 1000+ prompts you can use for various things like coding, testing and product development. You will also learn to create thousands of unique prompts for ChatGPT, Stable Diffusion, DALL-E, and MidJourney.

What you’ll learn:

Prompt patterns for specific outcomes
Combining tools (Python, APIs) with LLM prompts
Evaluation techniques for prompt success
Building smart workflows and agents

Here is the link to join this course — — Prompt Engineering: Getting Future Ready (1000+ Prompts inc)

Why Learn Prompt Engineering in 2026?

In order to show you why should learn prompt engineering let me show you both good and bad prompts and the output generated by them

Here’s the difference between good and bad prompts specifically for coding tasks:

Good Coding Prompt Example

Create a Python function that calculates the Fibonacci sequence up to n terms. The function should:

Accept a parameter ’n’ (number of terms)
Include input validation to handle negative numbers and non-integers
Return the sequence as a list
Use recursion with memoization for efficiency
Include docstrings and comments explaining the implementation
Include 2–3 example test cases showing different inputs

My experience level is intermediate Python, so please explain any complex optimization techniques used.

Why it’s good:

Specific language: Clearly states Python
Well-defined task: Calculate Fibonacci sequence up to n terms
Technical requirements: Lists specific implementation details
Performance considerations: Mentions efficiency (recursion with memoization)
Documentation needs: Requests docstrings and comments
Testing approach: Asks for example test cases
Provides context: Mentions user’s experience level
Asks for explanations: Requests clarification of complex concepts

Bad Coding Prompt Example

Write code for Fibonacci.

Why it’s bad:

Ambiguous language: No programming language specified
Unclear requirements: Doesn’t specify what aspect of Fibonacci to implement
No performance guidelines: Doesn’t mention efficiency concerns
No error handling requirements: Doesn’t address edge cases
No documentation requirements: Doesn’t request comments or explanations
No context: Doesn’t mention user’s experience level or use case
No specific output format: Doesn’t specify return type or how to present results

Let me show you these functions to further illustrate the difference in the outputs you’d see.

Here is output from bad prompt first

and here is output from good prompt

You can see how the code from the good prompt includes comprehensive documentation, error handling, optimization through memoization, and thorough test cases — while the result from the bad prompt is minimal, lacks documentation, and provides only basic functionality.

That explains why its important for developers to learn aobut prompt engineering in 2026.

Prompt Engineering Cheat Sheet

And, here is the Prompt Engineering Cheat sheet I promised at the start. This shows key prompt engineering techniques and tips you can use to leverage LLM like ChatGPT or Claude better

Final Thoughts

Prompt Engineering is not just a technical skill — — it’s a mindset. As LLMs become embedded in every aspect of software, business, education, and content creation, your ability to instruct and guide them effectively will determine your success.

Udemy’s wide range of affordable, up-to-date courses gives learners the chance to master this futuristic skill no matter their background.

Whether you’re a beginner exploring what ChatGPT can do or a developer building LLM-powered applications, one of these 7 courses will be the perfect next step in your learning journey.

Other AI, LLM, and Machine Learning resources you may like

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

P.S. You can also join a course like LLM Engineering: Master AI, Large Language Models & Agents to get some hands-on experience on building RAG based chatbot and learning LLM by watching. Don’t wait for your company to start using AI. Learn now, lead later.

10 Essential AI Tools Every Developer Should Learn in 2026

2026-04-01T08:15:00.000-07:00

Hello guys, the way we write code is changing — fast, I mean very fast. Gone are the day where you create one class in one day with advancement in AI, now you can create the whole application in 1 hour.

AI coding tools, sometimes referred to as “vibe coding” platforms, are revolutionizing software development.

Whether you’re building full-stack apps, testing code, debugging, or deploying infrastructure, there’s now an AI tool to make it faster, smarter, and easier.

As a software engineer who’s spent hundreds of hours working with Copilot, Replit, and emerging tools like Cursor and CodeWhisperer, I can confidently say: learning these platforms is no longer optional — it’s essential.

In this post, I’ll break down 10 AI coding tools every developer should get familiar with in 2026, and I’ll recommend a top Educative.io course to help you master each one.

Whether you’re a backend developer, front-end dev, or full-stack engineer, this guide is for you.

By the way, if you are new to Generative AI then I also suggest you to go through a Gen AI course like Generative AI Handbook to start with. It will help interact better with LLM.

Generative AI Handbook

Explore key concepts and applications of modern AI systems in the GenAI Handbook.

www.educative.io

10 Best AI Tools Software Developers Should Learn in 2026

Without any further ado, here are the best AI coding tools you can use right now for coding, generating unit tests, debugging and even designing your software application.

1. Claude Code by Anthropic

Claude Code, developed by Anthropic, is a powerful AI coding assistant built into the Claude family of large language models.

Known for its conversational abilities, Claude excels in understanding code context, suggesting clean refactors, explaining complex logic, and even generating entire functions or modules from natural language prompts.

It offers intelligent, thoughtful code generation, refactoring, and debugging using natural language.

💡 Why learn it? Claude stands out for its safe, conversational approach to coding tasks — great for developers who want accuracy and context over speed.
🎓 Recommended course: Claude Code: Building Faster with AI, from Prototype to Prod

2. GitHub Copilot

The OG of AI code assistants. GitHub Copilot writes code in real time as you type — it’s like pair programming with a superpowered dev.

💡 Why learn it? It can save hours of boilerplate, suggest APIs, and even write test cases.

🎓 Recommended course: Mastering GitHub Copilot

Master GitHub Copilot - AI-Powered Course

Learn GitHub Copilot foundations through hands-on lessons: explore AI-assisted coding, Copilot chat, prompt…

www.educative.io

3. Cursor

A new kind of AI code editor built for serious devs. Cursor uses GPT-4, understands your codebase, and can help you refactor, explain, or even debug your code inside VS Code.

💡 Why learn it? It feels like VS Code with ChatGPT baked in — and it’s optimized for real-world codebases.

🎓 Recommended course: Build Smarter Code with Cursor AI

Learn Cursor AI: Code Smarter and Build Anything with AI

This course covers how Cursor uses integrated AI tools to help modern developers speed up coding, debugging, and…

www.educative.io

4. Replit Ghostwriter

Replit has evolved into an all-in-one cloud IDE with AI assistance. Ghostwriter helps generate, explain, and fix code within your browser.

💡 Why learn it? Perfect for hackathons, building prototypes, or running quick scripts in the cloud.

5. Amazon Q Developer for Programmers and DevOps AWS AI coding

Amazon’s answer to Copilot. Amazon Q Developer works across AWS services and helps generate secure, production-ready code.

💡 Why learn it? Ideal for devs in AWS ecosystems or working on cloud-native apps.

6. Tabnine

Tabnine uses LLMs fine-tuned on your codebase. It’s great for enterprises concerned with privacy and teams working on private repos.

💡 Why learn it? If you’re working in a team with security needs, Tabnine offers on-premise options.

🎓 Recommended course: Vibe Coding with ChatGPT, GitHub Copilot, Tabnine & More

7. ChatGPT

ChatGPT is still the best conversational AI model that has transformed how we interact with artificial intelligence, offering natural language understanding and generation capabilities for diverse applications ranging from content creation to complex problem-solving and code assistance.

💡 Why learn it? ChatGPT has become an essential tool for professionals across all domains. Mastering its capabilities gives you a significant competitive advantage in productivity and innovation.

8. Codeium

A free and blazing-fast AI coding assistant that integrates into JetBrains, VS Code, and more.

💡 Why learn it? It’s lightweight, accurate, and great for developers who want an alternative to Copilot.

9. CrewAI

A cutting-edge framework for orchestrating role-playing autonomous AI agents, enabling teams of AI agents to collaborate effectively on complex tasks with defined roles, goals, and backstories.

CrewAI Agents now have the powerful ability to write and execute code, significantly enhancing their problem-solving capabilities Coding Agents — CrewAI.

You can enable this by setting the allow_code_execution parameter for agents.

💡 Why learn it? CrewAI represents the next evolution in multi-agent systems. It’s perfect for creating collaborative AI teams that can handle enterprise-level challenges.

10. Code Interpreter / GPT-4 Advanced Data Analysis

This is the power tool for data analysis, debugging, and algorithm tracing. OpenAI’s Code Interpreter can run Python code, create charts, and help you debug in real-time.

💡 Why learn it? Perfect for algorithmic thinking, debugging, and test-driven development.

11. OpenDevin

An open-source AI software agent designed to perform real-world dev tasks by combining planning, file editing, and terminal use.

💡 Why learn it? OpenDevin is a step toward AI agents that can code entire apps. Get in early.

🎓 Recommended course: AI Agents for Developers: Getting Started with OpenDevin

Final Thoughts

Whether you’re a new developer or a senior engineer, learning how to use these AI-powered coding tools will give you a serious edge in 2026. The game is no longer about typing fast — it’s about thinking clearly, prompting smartly, and letting AI amplify your output.

Explore any of the Educative courses above to get hands-on with these tools. You’ll not only save time — you’ll become a more productive, creative, and forward-thinking developer.

By the way, you would need an Educative subscription to join this course, which cost around $14.99 but also provide access to more than 1000+ courses, projects, and cloud labs to learn in-demand tech skills including web development.

Educative Unlimited: Excel with AI-Powered Learning

Ready to level up your career? Lock in unlimited access to Educative's entire library of 1200+ hands-on Courses…

www.educative.io

You can also use 7 days free trial to get this course for FREE.

Educative Free Trial: Accelerate your career

Level up your coding skills. No more passive learning. Interactive in-browser environments keep you engaged and test…

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Other Awesome Resources from Educative.io You may like

Thanks for reading this article so far. If you like these AI, ML and LLM Engineering courses then please share with your friends and colleagues. If you have any questions or suggestions feel free to leave a comment.

P. S. — If you are new to AI and LLM Engineering worth then I also suggest you to go through this Machine Learning Handbook and Generative AI Handbook, both are great resources for any who want to learn Artificial Intelligence in depth.

Java67

The System Design Learning List for 2026 (6 Courses That Matter)

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

1. Mastering the System Design Interview by Frank Kane

2. Rocking System Design by Rajdeep Saha

3. System Design Interview Guide for Software Architecture by CodeKarle

4. Pragmatic System Design by Alexey Soshin

Review — Is the Udemy Personal Plan Worth It?

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

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

7 Best Cybersecurity Courses If You Want to Stay Relevant in 2026

7 Best Cybersecurity Courses on Udemy in 2026

7. The Complete Hands-On Cybersecurity Analyst Course

Top 5 Free Cyber Security Courses for Beginners to Learn in 2026 - Best of Lot

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

The Software Architect's Reading List for 2026 (10 Books That Matter)

System Design · Coding · Behavioral · Machine Learning Interviews

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

Codemia | Master System Design Interviews Through Active Practice

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Top 10 Software Architecture Books for Experienced Developers

1. Head First Software Architecture

2. Software Architecture: The Hard Parts — Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani

3. Fundamentals of Software Architecture — Mark Richards and Neal Ford

4. Designing Data-Intensive Applications by Martin Kleppmann

5. System Design Interview — An Insider’s Guide

6. Software Engineering at Google

7. Clean Architecture

Honorable Mentions (Also Worth Reading)

Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures

Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures [Ford, Neal, Richards…

Fundamentals of Software Architecture: An Engineering Approach

Fundamentals of Software Architecture: An Engineering Approach [Richards, Mark, Ford, Neal] on Amazon.com. *FREE*…

Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software 2nd…

Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software 2nd Edition [Freeman, Eric…

Bonus: Free eBook on Distributed Systems

Final Thoughts

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

Head First Software Architecture: A Learner's Guide to Architectural Thinking [Gandhi, Raju, Richards, Mark, Ford…

How AlgoMonster Helped me Master DSA for Coding Interviews?

1. First, I Realized Random Problem Solving Wasn’t Working

2. I Discovered the Power of Pattern-Based Learning

a) Pattern Identification First

b) Template-Based Solutions

c) Systematic Problem Progression

3. I Learned Through Their Unique Three-Step Method

Step 1: Pattern Recognition

Step 2: Implementation

Step 3: Complexity Analysis

4. I Mastered Company-Specific Question Patterns

Google Patterns:

Amazon Patterns:

Meta Patterns:

Microsoft Patterns:

5. I Practiced With Their SpeedRun Feature

Why Speedrun?

6. I Built Confidence Through Systematic Progress Tracking

7. I Applied Pattern Recognition in Real Interviews

Before AlgoMonster:

After AlgoMonster:

8. I Started Teaching Others Using Pattern-Based Approach

For Junior Developers:

For Interview Preparation Groups:

My Results After 4 Months with AlgoMonster

The Investment That Transformed My Career

Why AlgoMonster Worked When LeetCode Grinding Failed?

Traditional Approach (LeetCode grinding):

AlgoMonster’s Pattern-Based Approach:

My Honest Recommendation

Is it worth the investment?

Start Your Pattern-Based DSA Journey Today

System Design · Coding · Behavioral · Machine Learning Interviews

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

Rate Limiter - System Design Interview Question [Solved]

What is a Rate Limiter?

Key Requirements in Interviews

Top 4 Rate Limiting Algorithms for Interview

Fixed Window Counter

Sliding Window Log

Fundamentals of Software Architecture: An Engineering Approach [Richards, Mark, Ford, Neal] on Amazon.com. FREE…

Building Microservices: Designing Fine-Grained Systems [Newman, Sam] on Amazon.com. FREE shipping on qualifying…

Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith [Newman, Sam] on Amazon.com. FREE…

Domain-Driven Design: Tackling Complexity in the Heart of Software [Evans, Eric] on Amazon.com. FREE shipping on…

Building Microservices: Designing Fine-Grained Systems [Newman, Sam] on Amazon.com. FREE shipping on qualifying…