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Is Udacity Nanodegrees and Courses Really Worth it in 2026? Review

2026-04-17T03:40:00.000-07:00

Hello guys, when it comes to learning, choosing the right online learning platform has never been more important, especially in 2026 when the demand for AI, Data Science, Cloud, and Software Engineering skills continues to skyrocket.

Among the many platforms out there, Udacity has carved a name for itself with its industry-recognized Nanodegree programs and strong focus on real-world, project-based learning.

But with so many free and paid alternatives like Coursera, Udemy, DataCamp, and DataCamp, many learners still wonder: Is Udacity actually worth the investment?

In this review, we’ll explore Udacity’s strengths, weaknesses, and unique offerings. We’ll also compare it with other platforms, discuss who should consider it, and finally, help you decide if it’s the right fit for your career goals.

If you’re considering enrolling, here’s the Udacity official page where you can explore their latest Nanodegrees and offers.

You can also check out Udacity courses here, including the newly added Agentic I courses for both develoeprs and business leaders.

1. What is Udacity?

Udacity is an online learning platform founded in Silicon Valley (now part of Accenture) that focuses on teaching in-demand tech skills to help learners advance their careers.

Unlike traditional universities, where earning a degree can take years, Udacity offers flexible, project-based programs that allow you to build practical skills much faster.

While you may not earn a traditional degree, Udacity provides certificates of completion that showcase your expertise in areas like programming, data science, artificial intelligence, and cloud computing.

These credentials can set you apart from competitors who only have university education but lack hands-on, industry-focused experience.

If you want to explore Udacity’s offerings, you can start with their wide range of free and paid courses here: Check out Udacity courses.

2. What Courses Does Udacity has?

Udacity platform is dedicated to the tech world, offering courses in information technology (IT) industries.

This is good because you will get the skills to help you make money in the tech industry, whether getting a job or building your own business.

These courses are separated into many sections, and currently, Udacity can teach you the skills in these industries:

Every section (Field) has tons of courses that you can enroll in at your own pace, and you will learn what you would expect from any standard technical university or college, like videos and online forums, to get some help from your peers.

Here is a list of Udacity’s most popular couress to learn in-demand skills like Artificial Intelligence and Data Science:

3. Who Creates Courses on Udacity?

Unlike platforms such as Udemy or Coursera, where almost anyone can publish a course, Udacity takes a much more selective approach.

Its courses are built in collaboration with top industry experts and leading companies such as Google, AWS, Microsoft, and Nvidia, ensuring that the content is both practical and aligned with real-world job requirements.

For example, this free Udacity course Intro to Machine Learning with Azure is created in collaboration with Microsoft, the company behind Azure and Advanced Android with Kotlin is created in collaboration with Google itself.

The instructors and mentors at Udacity are seasoned professionals with years of experience in their fields.

This means you’re not just learning theory — you’re working on hands-on projects designed to replicate actual industry challenges.

4. What is Udacity Nanodegree?

In 2014, Udacity announced a new kind of program called Udacity Nanodegree, a unique educational program offered by the industry leaders and experts who understand the skills needed in that job market and teach them to the students to bridge the gap between the learning and real-world job skills.

You can learn at any time you want when enrolling in the Nanodegree program, which costs $399 a month, and they take around 2–6 months to complete the whole program, so Udacity has launched two ways to pay for this Nanodegree program:

4.1. Pay as you go: you will be charged $399 every month you are taking this program, so if the program will approximately take two months and you spend three months studying, you will be charged for three months, but you can cancel anytime you want.

4.2. All Access: as I’ve mentioned, every program has an estimated time to complete, let’s say six months so that you can pay for six months upfront with a discount, and if you still couldn’t finish the whole program, you can switch to the pay as you go option.

Keep in mind that the Udacity platform sometimes discounts their courses so that you will see different pricing than the usual, and it reaches up to 75% for some courses.

It is worth noting that you can get a full refund and cancel your paid enrollment after only two days in your, which is nothing, I think.

Even it doesn’t give you enough time to decide whether this is right for you or not, but the Europe citizens can have up to 14 days to get the full refund. Here are two Nanodegree courses you may be interested in:

4.3 Become an AI Engineer

This one of the best program on Udacity to learn about AI Engineering, LLM and Autonomous agent in 2026 and become an expert AI engineer.

4.4. Self-Driving Car Engineer

This is another famous and successful courses in the Udacity platform teaches you to make self-driving cars using deep learning and the python language.

4.5. Become a Data Analyst:

Another excellent Udacity nanodegree course for learning data analysis using the python language and applying data visualizations and SQL language for interacting with the database.

5. My Favorite Udacity Free Courses for 2026

Udacity offers many free courses across different tech domains, making it a great way to explore the platform before committing to a paid program.

By enrolling in these free courses, you can get hands-on experience with the learning environment, understand how the content is structured, and build foundational knowledge in areas like programming, data science, AI, and more.

Some of the most popular free Udacity courses include:

5.1. Introduction to Python Programming (free)

This is one of the most popular free python course on Udacity that will teach you the basics such as data types, operators, the control flow of the code, functions, and scripting.

5. 2 Intro to Artificial Intelligence (Free)

This is one of the most popular free course on Udacity to learn AI in 2026.

You can use this course to dive into the world of AI with a comprehensive introduction to its foundational concepts, including machine learning, computer vision, NLP, and probabilistic reasoning.

This free course offers a solid starting point for anyone looking to understand the field.

5.3. Advanced Android with Kotlin

This is another great free course on Udacity which is created by Google for teaching you advanced functionalities using Kotlin for android development such as sending notifications, animations, adding google maps, and more.

5.4 SQL for Data Analysis (Free)

This free Udacity course is a great resource to learn how to query and analyze data using SQL, an essential skill for data analysts and engineers.

You can also use it to understand when and how to use subqueries, several window functions, and partitions to complete complex tasks.

Clean data, optimize SQL queries and write select advanced JOINs to enhance analysis performance.

5.5 Intro to Machine Learning with Azure (Free)

This free Udacity course provides high-level introduction to the field of machine learning and how to use Azure Machine Learning Studio to train machine learning models.

You will also learn how to perform a variety of tasks on Azure Machine Learning labs — from data import, transformation and management to training, validating and evaluating models.

5.6 Version Control with Git (Free)

Understand how Git and GitHub work, so you can manage projects and collaborate with other developers.

You will also learn about advanced Git operations, including how to resolve conflicts, create repositories, track project history, and work in teams using Git’s powerful tools.

Exploring these free courses first will give you a solid overview of Udacity’s workflow and teaching style, helping you decide whether to invest in a paid Nanodegree or consider other alternatives.

Conclusion

So, is Udacity worth it in 2026? The answer depends on your learning goals. If you want structured, hands-on programs that prepare you for jobs in AI, Data, Cloud, or Software Engineering, Udacity remains one of the strongest options out there.

Its Nanodegrees go deeper than most MOOCs, offer real projects reviewed by mentors, and provide a clear roadmap to job-ready skills.

That said, Udacity can feel expensive compared to platforms like Udemy or Coursera. But if you’re serious about investing in your career and want guided learning with real-world projects, the cost is often justified.

If you’re ready to explore, you can browse their catalog and find the right Nanodegree for your goals here: Discover Udacity Nanodegrees.

Other Udacity and Datacamp articles you may like

If you liked this list of the 10 best Udacity Courses, why not share it with your friends and family. Also, drop a comment if you have any doubts or questions and we will get back to you in an instant.

P. S. — If you want to do just one thing I suggest you to go and join Udacity’s AI Engineering Nanodegree, its a great resource to become an AI Engineer in 2026.

Top 10 Udacity Courses and Nano Degrees in 2026

Want to become a programmer or Data Scientist? Here are the best Udacity courses and nano-degree program which you can…

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I Tried Blockchain and AI Courses on 101 Blockchains Academy - Here are My Top 10 Recommendations

2026-04-16T19:10:00.000-07:00

Hello guys, If you’re serious about building a career in Blockchain, Web3, FinTech, or AI, and looking for resources then let me tell you that one platform consistently stands out in 2026: 101 Blockchains.

With thousands of learners worldwide and a growing reputation for enterprise-grade certifications, 101 Blockchains has become the #1 learning hub for professionals preparing to transition into high-demand roles in Blockchain development, Web3 architecture, AI, and financial technology.

I have known this platform since COVID days and I am big fan of their certification because of their depth and structure. They are like level 2 market data.

Level 1 is like you read news and then you know about current affairs but Level 2 is like you dig into details, you read balance sheets, go to the actual company site, find out what they do, how do they and how they make money etc.

While there is no shortage of online Blockchain courses and books and most of them are also cheap there are not many which can match the depth of 101 Blockchain certifications.

But is 101 Blockchains worth your investment in 2026?

Let’s break it down.

Why 101 Blockchains?

Unlike generic online courses, 101 Blockchains focuses on career-oriented certifications that employers recognize.

Each program is designed with real-world use cases, enterprise applications, and hands-on projects, making it more than just theory.

The platform offers:

Globally recognized certifications
Enterprise-focused curriculum (not just basic tutorials)
Expert instructors from top industries
Continuous updates to keep up with evolving Blockchain & AI tech

In fact, most of the listed certifications in the article are officially CPD accredited.

Course Quality & Learning Experience

While you can find many free and paid resources to learn about Blockchain technologies from YouTube to Udemy courses and Coursera certifications, 101 Blockchains courses stand out for their:

Structured learning paths — Beginner-friendly but detailed enough for professionals
Hands-on projects & case studies — not just slides, but real-world insights
Enterprise alignment — used by companies in finance, supply chain, and Web3
AI + Blockchain integration — forward-looking topics for 2026

They are also created by real expert who have experience in Blockchain in real world.

The best thing about their certification is that they are quite in-depth and also recognized by CPD or CPD accredited.

If you don’t know, a CPD accredited course is a training program or learning activity that has been assessed and approved by a recognized Continuing Professional Development (CPD) accreditation body.

This accreditation signifies that the course meets specific standards for quality and content, ensuring a high-quality learning experience for professionals seeking to enhance their skills and knowledge

10 Best 101 Blockchains Certifications in 2026

Here are the top certifications that make 101 Blockchains the go-to platform. The best thing about them are that most of the listed certifications in the article are officially CPD accredited.

Certified Enterprise Blockchain Professional (CEBP)
Perfect for professionals wanting a broad yet deep understanding of blockchain, supply chain, and enterprise use cases.
Certified Web 3.0 Professional (CW3P)
Covers NFTs, DeFi, and decentralized applications — ideal for anyone exploring the Web3 career track.
Certified Blockchain Security Expert (CBSE)
Security is critical in blockchain. This certification makes you a go-to expert in smart contract audits and blockchain security.
Certified AI Professional (CAIP)
New in 2026, this course bridges AI & Blockchain, preparing professionals for next-gen AI-driven blockchain systems.
Certified Prompt Engineering Expert (CPEE)
For those entering Generative AI fields, this program teaches prompt engineering for real-world applications.
Certified Enterprise Blockchain Architect (CEBA)
Ideal for solution architects building scalable blockchain-based systems.
Certified Cryptocurrency Professional (CCP) (New & Trending)
Explains cryptocurrencies beyond speculation — ideal for crypto professionals and analysts.
Certified ChatGPT Professional (CCGP) (Top 3 course last month)
AI + Blockchain combo: learn ChatGPT applications in enterprise workflows.
Certified Fintech Expert (CFTE)
Focuses on digital banking, payment innovation, and DeFi solutions.
Certified Web3 Blockchain Developer (CW3BD)
A developer-focused path for building decentralized apps and smart contracts.

When it comes to joining this certification, you can join this individually or you can get a 101 Blockchain Premium which not only give you access of this certification but also several other powerful and in-demand Blockchain and Web3 certification and courses for just $75 per month on their annual plan (50% discount now).

Pros & Cons of 101 Blockchains

Here are the pros and cons of 101 Blockchains Academy which you should know before joining their certification individually or getting a subscription:

Pros:

Enterprise-focused curriculum
Recognized certifications
Strong AI + Blockchain coverage in 2026
Regularly updated content
Discounts available

Cons:

Higher pricing vs Udemy or Coursera
Requires time commitment to complete fully

Pricing & Value for Money

When compared to alternatives, 101 Blockchains is not the cheapest option — but that’s because it’s positioned as a professional certification provider, similar to PMI or AWS training.

Pricing: Most certifications range from $397–$497, often bundled with lifetime access.
Value: Considering these courses are career-focused and recognized globally, the ROI for a single successful job transition easily justifies the investment.

When it comes to joining this certification, you can join this individually or you can get a 101 Blockchain Membership which not only give you access of this certification but also several other powerful and in-demand Blockchain and Web3 certification and courses for just $25 per month on their annual plan (50% discount now).

Pro tip: They frequently run discount campaigns (up to 40–50%), so timing your enrollment can save you a lot.

You can also buy individual courses for much lessor price but I recommend getting an annual subscription as it provide access to all of their courses for one year.

101 Blockchains vs. Udemy vs. Coursera: Which is Better for Learning Blockchain & AI?

Now, let’s compare 101 Blockchains certification with Udemy courses and Coursera specialization and find out which platform is best or #1 platform for learning Blockchain technologies, Web3, and AI technologies in 2026.

1. 101 Blockchains

Focus: Highly specialized in Blockchain, Web3, and emerging technologies. Recently expanding into AI courses tailored for professionals.
Content Depth: In-depth, industry-recognized certifications designed for career growth.
Target Audience: Professionals, enterprise learners, and people aiming for niche expertise.
Pricing: Higher-priced compared to Udemy, but includes recognized certifications.
Strength: Offers structured career tracks and premium certification that adds credibility to resumes.
Weakness: Less variety outside Blockchain and AI compared to Udemy/Coursera.

2. Udemy

Focus: Huge library covering Blockchain, AI, and almost every tech and non-tech subject.
Content Depth: Varies — from beginner-friendly crash courses to advanced coding projects, but quality can differ by instructor.
Target Audience: Beginners, students, and professionals who want affordable, flexible learning.
Pricing: Extremely affordable, with frequent discounts ($9.99–$19.99 per course).
Strength: Massive selection, affordable, lifetime access.
Weakness: No structured certification path; credibility of certificates is weaker in job market.

3. Coursera

Focus: Academic and industry-backed Blockchain and AI programs (often from top universities and companies).
Content Depth: Comprehensive and project-driven, with real-world capstone projects.
Target Audience: Learners seeking academic credibility and professional career advancement.
Pricing: Subscription model (Coursera Plus) or pay-per-course; higher than Udemy, but offers financial aid.
Strength: University-backed certifications (Princeton, Stanford, IBM, Meta) — highly credible.
Weakness: Less flexible — courses take longer to finish and require structured learning.

Here is a also a nice comparison table to quickly see how 101 Blockchains compares with Udemy and Coursera for learning Blockchain, Web3, and AI related technologies

Quick Summary

Choose 101 Blockchains → if you want specialized, career-focused Blockchain/AI certifications.
Choose Udemy → if you want budget-friendly, fast, flexible learning with lifetime access
Choose Coursera → if you want university-recognized certifications that boost your resume globally.

Conclusion — Is 101 Blockchains Worth It in 2026?

In 2026, the blockchain and Web3 space continues to evolve rapidly, with new technologies, frameworks, and applications emerging every few months.

For professionals and organizations, staying relevant means more than just understanding the buzzwords — it requires a strong grasp of the fundamentals, hands-on exposure to real-world use cases, and continuous upskilling.

This is where 101 Blockchains has proven its value over the years.

The platform stands out because it doesn’t just offer surface-level training; its certifications, research, and expert-led content are designed to help learners build practical expertise that translates directly into career opportunities.

Whether you are a developer looking to move into blockchain engineering, a consultant aiming to advise clients on Web3 strategies, or a business leader exploring enterprise blockchain adoption, 101 Blockchains provides structured, industry-recognized pathways that align with your goals.

Another reason why 101 Blockchains remains worth it in 2026 is its strong focus on enterprise adoption and applied blockchain use cases.

Unlike many platforms that focus primarily on crypto trading or beginner tutorials, 101 Blockchains delves deeper into how technologies like DeFi, NFTs, tokenization, CBDCs, and enterprise blockchain frameworks (like Hyperledger and Corda) are shaping industries such as finance, supply chain, and healthcare.

This makes it particularly valuable for professionals seeking to bridge the gap between technical innovation and business transformation.

Of course, no platform is perfect — 101 Blockchains may not be the cheapest option on the market, and some learners might prefer broader platforms like Coursera or Udemy for introductory material.

However, if your primary aim is career growth, professional credibility, and access to specialized blockchain knowledge, then 101 Blockchains offers one of the most reliable and future-proof learning ecosystems available today.

To put it simply, if you want to take blockchain seriously in 2026 — whether as a career path, a consulting specialization, or a way to future-proof your skills — then investing in 101 Blockchains is absolutely worth it.

If your goal is to seriously advance your career in Blockchain, Web3, FinTech, or AI, then 101 Blockchains is hands down the best platform in 2026.

While the cost is higher than casual platforms, the ROI in career growth, credibility, and recognition makes it a smart investment — especially with trending certifications like CAIP (AI), CPEE (Prompt Engineering), and CCGP (ChatGPT).

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+ Data Analyst Courses: Here Are My Top 5 Recommendations for 2026

2026-04-16T07:37:00.000-07:00

credit -datacamp

Hello guys, Data analysis is one of the most in-demand skills in 2026, and its no surprise that many young people are acquiring data skills to become a Data Analyst.

If you also want to become a Data Analyst in 2026 and looking for resources then you have come to the right place.

I’ve spent the last few year exploring over 50 courses on Data Analysis, Python, and Data Engineering from various platforms to find the best online courses and certifications for aspiring and experienced data analysts.

My goal was to identify courses that not only teach the fundamentals but also provide hands-on experience, real-world projects, and industry-recognized certifications.

I tried courses from DataCamp, Udemy, Coursera, edX, CodeCademy, and Educative.io among others Each platform has its strengths, but I focused on courses that stood out for their quality of content, practicality, instructor expertise, and student reviews.

After completing these courses, I narrowed down my list to the top 5 recommendations that I believe offer the most value for anyone looking to break into or advance in the field of data analysis.

In this article, I’ll share my top picks, explain why they made the cut, and explain why DataCamp’s Data Analyst Career Track and their Data Analyst Certification are the best resources for anyone serious about becoming a data analyst in 2026.

How I Selected these Top 5 Data Analysis Courses?

When it comes to learning new technology I found myself learning better by following different resources as different people explains same concepts differently.

That’s why I join multiple courses but there are few courses which will teach you more than 5 other courses.

To ensure fairness and objectivity, I evaluated each course based on the following criteria:

Content Quality: Does the course cover essential topics like SQL, Python, data visualization, and storytelling? Is the material up-to-date and relevant to industry needs?
Hands-On Learning: Does the course include practical exercises, coding challenges, and real-world projects?
Instructor Expertise: Are the instructors experienced professionals or industry experts?
Student Feedback: What do past students say about the course? Are the reviews overwhelmingly positive?
Certification: Does the course offer a certification that is recognized by employers?
Value for Money: Is the course affordable, and does it provide a good return on investment?

Using these criteria, I have filtered out courses that were either too basic, outdated, or lacked practical application. The result is a curated list of 5 online courses and certificates that I believe are the best for aspiring data analysts in 2026.

Btw, if you cannot wait, and just need one resource to start learning now, I suggest you to start with Data Analyst Certification on Datacamp, you will not just learn all essential skills a Data Analyst needs to have but also get a certification which you can put on your resume or LinkedIn profile.

My Top 5 Data Analyst Courses for 2026

Without any further ado, here is a list of my top 5 Courses to learn Data Analysis in depth in 2026:

1. DataCamp’s Data Analyst Career Track

Why It’s Great: This is a comprehensive, beginner-friendly program that covers everything from SQL and Python to data visualization and storytelling. The hands-on exercises and real-world projects make it incredibly practical.

Key Features:

80+ hours of content
Interactive coding challenges
Real-world projects to build your portfolio

Perfect For: Beginners and intermediate learners looking for a structured path to becoming a data analyst.

Here is the link to join this course — DataCamp’s Data Analyst Career Track

2. Google Data Analytics Professional Certificate (Coursera)

Why It’s Great :Developed by Google, this Coursera certificate is perfect for beginners and covers the entire data analysis process, from cleaning data to creating visualizations.

Key Features:

No prior experience required
Includes Tableau and SQL training
Capstone project for hands-on experience

Perfect For: Beginners who want a well-rounded introduction to data analytics.

Here is the link to join this certificate — Google Data Analytics Professional Certificate

Though, you should keep in mind that this is a R programming focused, if you want a Python focused course then Advanced Google Data Analytics Professional certificate is a better choice.

3. The Data Analyst Course: Complete Data Analyst Bootcamp (Udemy)

Why It’s Great: This bootcamp style Udemy course focuses on Python, one of the most popular tools for data analysis. It’s packed with interactive exercises and real-world datasets.

Key Features:

Covers Pandas, NumPy, and Matplotlib
Includes SQL for data analysis
Projects to showcase in your portfolio
Affordable, you can get the course for 80% discount on sale

Perfect For: Aspiring data analysts who want to master Python for data analysis and who like video courses more than text-based courses.

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

4. Excel to MySQL: Analytic Techniques for Business (Coursera)

Why It’s Great: This course bridges the gap between data analysis and business decision-making. It’s perfect for those who want to apply data skills in a business context.

Key Features:

Covers Excel, Tableau, and MySQL
Focuses on real-world business problems
Taught by Duke University professors

Perfect For: Professionals looking to combine data analysis with business strategy.

Here is the link to join this course — Excel to MySQL: Analytic Techniques for Business

5. Data Analyst Certification by DataCamp

A lot of people don’t know but apart from skill track and career track Datacamp also offer certifications.

Why It’s Great: DataCamp’s certification is a fantastic way to validate your skills and stand out to employers. It tests your knowledge of SQL, Python, and data visualization.

Key Features:

Industry-recognized certification
Rigorous assessment of practical skills
Great for resume building

Perfect For: Anyone looking to prove their data analysis skills to potential employers.

Here is the link to join this course — Data Analyst Certification by Datacamp

Why DataCamp’s Data Analyst Career Track and Certification Stand Out?

After trying so many of courses on Data Analysis, Data Science and Data Engineering, I can confidently say that DataCamp’s Data Analyst Career Track and Data Analyst Certification are among the best resources for aspiring data analysts.

Here’s why:

Hands-On Learning: DataCamp’s interactive platform lets you practice coding and analysis in real-time, which is crucial for mastering data skills. DataCamp also offers Practice, Assessments, and Projects.
During Practice, learners complete challenges by answering 5 questions usually related to a specific course. I found practice sessions (which can be completed using the mobile app, as well) really helpful, especially during busy days when I didn’t have much time to make progress in the main Track I was enrolled.
Comprehensive Curriculum: From SQL and Python to advanced visualization tools, DataCamp covers everything you need to become job-ready.
Real-World Projects: The career track includes projects that mimic real-world scenarios, helping you build a portfolio that impresses employers.
Certification: DataCamp’s certification is a great way to validate your skills and stand out in a competitive job market.

Datacamp platform itself is a great for learning. It’s designed keeping repetition in mind, which help you to learn better and remember longer.

The great thing about Datacamp is that you can access to all of their courses by just getting one Datacamp premium subscription which cost around $25 but you can get now for just $12.40 on their NEW YEAR sale where they are offering 50% discount.

I generally recommend the premium plan because it is right-priced and you get access to all the essentials to grow your data skills like 350+ courses, 14 career tracks, 50+ skill tracks, unlimited practice challenges, and live code along. It cost around $25/month on an annual plan and it’s totally worth i

And, the best thing is that they are offering a SALE now where you can get the subscription plan for a big 50% discount.

All the best with your learning and Data Analysis journey !!.

Conclusion

That’s all about the top 5 courses you can join to learn Data Analysis in 2026. If you’re serious about becoming a data analyst, I highly recommend starting with DataCamp’s Data Analyst Career Track and working toward their Data Analyst Certification.

These resources provide a structured, practical, and industry-recognized path to mastering data analysis.

Whether you’re a beginner or looking to upskill, the courses I’ve recommended above will give you the knowledge, tools, and confidence to excel in this field.

And, if you want to take your Data Analysis skills to next level, I also suggest you to look this 2026 Data Analyst RoadMap, you guide to become a Data Analyst in 2026

Happy learning!

Other Data Science and Analysis articles you may like

Thanks for reading this article so far. If you like this article , then please share it with your friends and colleagues; they will appreciate it. If you have any questions or feedback, then please drop a note.

P. S. — If you want to do just one thing at the moment to start your Data Analyt journey today then you can go ahead and join DataCamp’s Data Analyst Career Track. It’s a great resource to start learning essential skills for Data Analysis and its also very affordable, with 50% discount it comes with less 2 cups of Starbucks coffee

Top 5 Educative Courses to Learn Generative AI and ChatGPT in 2026 - Best of Lot

2026-04-15T05:34:00.000-07:00

Hello guys, Generative AI and ChatGPT are transforming industries and redefining how businesses approach problem-solving, automation, and customer interactions.

From generating human-like text to creating stunning visuals and even writing code, generative AI is at the forefront of technological innovation.

As more businesses embrace these technologies, the demand for skilled professionals who understand generative AI and tools like ChatGPT is skyrocketing.

Whether you’re a software engineer looking to upskill, a student exploring AI, or a business professional aiming to leverage these tools for competitive advantage, learning generative AI is essential in 2026.

If you want to learn Generative AI and ChatGPT in 2026 and looking for best resources then you have come to the right place.

In the past, I have shared best AI courses, best ChatGPT courses and best courses to learn deep learning and today, I am going to share best interactive courses to learn Generative AI and ChatGPT in 2026, and when it comes to find interactive courses, Educative.io is the first name which comes in my mind.

Educative.io, with its interactive learning platform and text-based courses, offers an excellent way to build expertise in generative AI and ChatGPT.

In this article, we’ll explore the 5 best Educative.io courses for learning generative AI and ChatGPT, helping you find the right course to kickstart or accelerate your journey.

5 Best Generative AI Courses on Educative.io in 2026

Without any further ado, here are the best online courses you can join to learn Generative AI on Educative.io in 2026:

1. Generative AI: From Theory to Product Launch

This course is a perfect starting point for anyone curious about generative AI. It explains the fundamental concepts behind generative models like GANs (Generative Adversarial Networks) and transformers.

The course takes you through real-world applications such as generating images, text, and music.

Key Highlights:

Basics of generative AI and its applications
Introduction to GANs and transformers
Hands-on coding exercises to build foundational skills

Best for: Absolute beginners in AI and generative models

Here is the link to join this course — Generative AI: From Theory to Product Launch

2. Master ChatGPT Prompt Engineering

Prompt Engineer is one of the best skill to learn in 2026 because it is the one skill which allows you to make most of AI tools like ChatGPT and Google Gemini.

This course will teach you fundamentals of Prompt Engineering like how to construct Prompts and make most of what ChatGPT offers.

Key Highlights:

Introduction to Generative-AI and ChatGPT
Learn best practices for effective prompting
Hands-on experience with prompting via ChatGPT API
Learn to harness ChatGPT to summarize, expand, infer, and transform information
Learn effective prompting for HR, SEO, Marketing, Professional writing, and academia
Understanding of AutoPrompt, Chatbots, and ChatGPT’s limitations

Best for: Developers looking to leverage ChatGPT in projects

Here is the link to join this course — Master ChatGPT Prompt Engineering

3. Generative AI with Python and TensorFlow 2

If you’re comfortable with Python and want to dive deeper into generative AI, this course is an excellent choice.

It focuses on using Python libraries like TensorFlow and PyTorch to build generative models.

You’ll learn to create image generators, text generators, and even music generation systems.

Key Highlights:

Hands-on projects in image, text, and audio generation
Practical coding exercises using TensorFlow and PyTorch
Advanced topics like GANs and transformer models

Best for: Python developers exploring AI applications

Here is the link to join this course — Generative AI with Python and TensorFlow 2

4. Mastering OpenAI API and ChatGPT for Innovative Applications

GPT-4 is one of the most powerful language models available today. This course focuses on how to use GPT-4 effectively, from content generation to complex data processing tasks.

Whether you’re a content creator, data scientist, or developer, this course helps you master GPT-4’s capabilities.

Key Highlights:

Advanced features of GPT-4 for content generation
How to use GPT-4 for code generation and debugging
Integrating GPT-4 with existing workflows and applications

Best for: Developers interested in GPT-4-specific applications

Here is the link to join this course — Mastering OpenAI API and ChatGPT for Innovative Applications

5. Generative AI Handbook

This course is designed for business professionals and AI enthusiasts who want to understand where generative AI is headed. It covers emerging trends, ethical considerations, and practical applications in various industries.

Key Highlights:

Understanding ethical concerns and challenges in generative AI
Insights into emerging technologies and tools
Case studies of real-world applications in industries like healthcare and gaming

Best for: Professionals looking to understand generative AI trends

Here is the link to join this course — Generative AI Handbook

Why Choose Educative.io?

Educative.io’s courses are ideal for learners of all levels. The platform offers a text-based, interactive learning experience that allows you to practice coding directly within the browser.

With no need for additional software setups, you can focus entirely on learning.

Their courses are designed by industry professionals, ensuring you get high-quality, relevant content that aligns with current industry standards.

Another great thing is that they are offering a big discount now, so if you want to level up your learning, now is the time to join.

Here is the link to join Educative — 50% Discount on Educative Unlimited

Final Thoughts

Generative AI and ChatGPT are opening up endless possibilities, and learning these technologies is no longer optional if you want to stay competitive.

The courses listed above are some of the best options on Educative.io for building expertise in these areas.

Take the first step toward mastering generative AI by enrolling in one of these courses today.

As the demand for AI expertise continues to grow, you’ll be positioning yourself for success in one of the most exciting fields of the future.

Other AI and Machine Learning articles you may like

P. S. — If you are serious about moving into AI and Machine Learning field, I also suggest you learn Python, one of the most valuable skills when it comes to Machine Learning and AI. If you need resources, check out this list of the best Python courses to kick-start your journey.

I Tried 30+ Educative Courses + Projects to Learn Artificial Intelligence and Machine Learning: Here Are My Top 5 Recommendations for 2026

2026-04-14T07:52:00.000-07:00

Hello guys, Artificial Intelligence (AI) is revolutionizing industries and everyday life, making it one of the most popular and essential skills in the job market in 2026.

After ChatGPT’s sensational release a couple of years ago, AI became the mainstream skill, with everyone in tech talking about AI.

Whether you are a developer or DevOps, a Data Engineer or Business Analyst, AI skills seem to be necessary for everyone, and why not, if used correctly, it can boost productivity multiple times.

That’s why more and more people are learning about AI.

If you also want to learn about AI and looking for the best online resources like online courses, books, tutorials, etc then you have come to the right place.

Earlier, I shared best Gen AI courses and best Prompt Engineering courses where I have shared video courses but a lot of you asked me about sharing hands-on, text-based courses on AI.

And, when it comes to text-based, hands-on, and project-oriented courses, I can only think of Educative.io, one of my favorite places to learn tech skills in a browser-based online coding environment.

Whether you’re a beginner looking to get started with AI or an experienced professional aiming to sharpen your skills, Educative.io offers a range of courses that can help you reach your goals.

In this article, I will share the top five AI courses on Educative.io, curated to enhance your learning experience.

Btw, if you are in a hurry, I suggest you join Educative Unlimited now, they are offering a 50% discount and this membership gives you access to more than 1200 AI-powered courses on Educative.io, I just renewed my subscription.

Educative Unlimited: Excel with AI-Powered Learning

Access 1,200+ hands-on coding courses, projects and Cloud Labs with Educative Unlimited. Pay once, learn endlessly

www.educative.io

5 Best Interactive AI, Data Science, and ML Courses for Beginners on Educative.io in 2026

Here are the top five AI courses on Educative.io, curated to enhance your AI knowledge, tools, processes, and how AI works in general.

1. Grokking AI for Engineering & Product Managers

If you are a senior developer or project manager who wants to learn about AI from scratch and looking for an interactive, hands-on, and text-based course for faster learning then this course is for you.

Designed for engineering and product managers, this course offers a quick yet comprehensive understanding of AI. It covers the basic concepts and is perfect for those involved in developing AI-based products.

You will start by learning the basics of AI, its connection with machine learning, and the different types of algorithms you should be familiar with.

After that, you’ll then learn the rules, best practices, and infrastructure for creating great AI products that users trust. You will also go through some real case studies of AI applications and do a deep dive into Ethical AI.

Level: Beginner
Content: 46 Lessons, 5h
Certificate of Completion

Whether you’re leading a team on creating AI solutions, or you just want a better understanding of AI, then this course is for you. In a nutshell, this course is your no-fuss, comprehensive guide to the essentials of AI.

Here is the link to join this course — Grokking AI for Engineering & Product Managers

2. Machine Learning Handbook

Machine Learning is the backbone of AI. It is the technology that powers AI and if you want to learn AI then this is one of the best hands-on courses you can find online.

This course provides a hands-on introduction to machine learning concepts. It emphasizes the use of Python and key ML libraries through practical coding examples, making it ideal for beginners who want to get started with machine learning.

You will learn about machine learning (ML), a branch of artificial intelligence focusing on creating and analyzing statistical algorithms capable of generalizing and executing tasks autonomously, without requiring explicit programming instructions.

Level: Beginner
Content: 12 Lessons, 2h 30min
Certificate of Completion
Overview:

The course also provides insights into various ML types and a comparative analysis between traditional ML approaches and the latest advancements in deep learning.

Here is the link to join this course — Machine Learning Handbook

3. Build Your Own Chatbot in Python

Building Chatbot is a great exercise to learn AI and see the power of AI and if you are looking for a hands-on course to build your chatbot then this course is for you.

In this course, you will deep dive into the exciting world of chatbots!

This course guides you through building a functional chatbot using Python, offering practical insights and hands-on experience.

Here are key things you will learn in this course: What You’ll Learn

basics of AI and ML
Play around with different AI
Create your own AI

Overall a great course to learn how to build chatbots using Python and it's perfect for beginners looking to explore AI applications.

Here is the link to join this course — Build Your Own Chatbot in Python

4. Introduction to Prompt Engineering with Llama 3

Knowledge of Prompt engineering is a must if you want to make full use of AI because Prompt engineering is the language to talk to AI. If you are looking for an interactive course to learn Prompt Engineering then this course is for you.

This 20-lesson comprehensive course will take your prompt engineering skills to the next level with Llama 3.

This course offers hands-on exercises and real-world use cases, making it a valuable resource for anyone interested in prompt engineering.

Here are things you will learn :

Prompting techniques and best practices
Exposure to various real-world applications of Llama 3
Knowledge of parameters that can be configured to control the output of Llama 3
Familiarity with ethical challenges and common issues we face while prompting

Overall a great interactive course to learn prompt Engineering with Llama 3.

Here is the link to join this course — Introduction to Prompt Engineering with Llama 3

5. Data Science Interview Handbook

This is another 9-hour long comprehensive course to learn Data Science for Interviews on Educative. Why you should take this course? Well, because it is different.

It teaches you key concepts of Data science in interview mode. I learned most of the things deeper and better while preparing for an interview.

If you’re preparing for a data science role, this course is a must. It includes mock interviews and AI-powered explanations, offering comprehensive preparation for real-world data science interviews.

This course will increase your skills to crack the data science or machine learning interview. It covers all the most common data science and ML concepts coupled with relevant interview questions.

It takes a non-traditional approach to interview prep, in that it focuses on data science fundamentals instead of open-ended questions. In all, this course will get you ready for data science interviews.

By the time you finish this course, you will have reviewed all the major concepts in data science and will have a good idea of what interview questions you can expect.

Here is the link to join this course — Data Science Interview Handbook

That’s all about the 5 best Educative.io courses and projects to learn AI, Machine Learning, and Data Science in 2026. These courses not only provide foundational knowledge but also practical, hands-on experience with AI.

If you want to learn AI and its related technology then I highly recommend you to get an Educative Unlimited subscription now and join these courses. You will love it.

Do you know what is the best thing, Educative.io is offering a 50% discount on Educative Unlimited, which means you can join for half price but only for a limited time.

Educative Unlimited: Excel with AI-Powered Learning

Access 1,200+ hands-on coding courses, projects and Cloud Labs with Educative Unlimited. Pay once, learn endlessly

www.educative.io

Other Useful Resources for Programmers and Developers

Thanks for reading this article so far. If you find these text-based online courses and Educational 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.

11 Best Educative Courses for Coding Interviews and Software Development in 2026

My favorite Educative.io courses to crack Coding interviews and learn software development in 2026

medium.com

Is Google's Cyber Security Certification on Coursera Really Worth it in 2026? Review

2026-04-13T21:31:00.000-07:00

Hello guys, if you want to start your career in Cyber Security, then I have great news for you. Google has updated its popular Google Cyber Security Professional Certificate to teach you all the essential skills required to become a Cyber Security Engineer and to use AI to do it more effectively in 2026.

As technology continues to advance, so does the need for cybersecurity professionals. The Google Cyber Security Professional Certificate is a program designed to prepare individuals for entry-level roles in cybersecurity, regardless of previous experience or degree.

In this 8-course series, taught by industry experts from Google, participants will gain in-demand skills such as identifying and mitigating risks and vulnerabilities, protecting networks and devices, and using Security Information and Event Management (SIEM) tools.

The program includes over 170 hours of instruction, hundreds of practice-based assessments, and portfolio-ready projects that simulate real-world scenarios critical for success in the workplace.

By completing the certificate, participants can demonstrate their proficiency to potential employers and earn an industry-recognized credential. In addition, graduates can qualify for in-demand job titles such as cybersecurity analyst, security analyst, or security operations center (SOC) analyst.

But is it really worth it? In this article, we’ll explore the Google Cyber Security Professional Certificate in depth and discuss its potential benefits and drawbacks so that you can decide whether to join this certificate or not.

Btw, this is the third certificate Google launched recently after Google Advanced Data Analytics Professional Certificate and Google Business Intelligence Professional Certificate, so they are really making education suitable for professional work.

Cyber Security Skills Google Cyber Security Professional Certificate will teach you?

The Google Cyber Security Professional Certificate is an eight-course series that teaches learners the skills needed to protect networks, devices, people, and data from unauthorized access and cyberattacks.

The curriculum covers a range of topics, including identifying common risks, threats, and vulnerabilities, using Security Information and Event Management (SIEM) tools, and mitigating cybersecurity risks.

you will also gain proficiency in portfolio-ready projects that demonstrate your ability to apply cybersecurity principles in real-world scenarios.

As I said, the certificate program includes 170 hours of instruction and hundreds of practice-based assessments and activities, including portfolio activities through which learners can showcase their skills to potential employers.

Through a mix of videos, assessments, and hands-on labs, you will become familiar with the cybersecurity tools, platforms, and skills required for an entry-level job.

You also learn in-demand tech skills like Python, Linux, SQL, Intrusion Detection Systems (IDS), communication, collaboration, analysis, problem-solving, and more.

Course Review

Now, let’s check all the 8 courses that you will complete as part of this Google Certification:

1. Foundations of Cybersecurity

This is the first course in the Google Cybersecurity Certificate. These courses will equip you with the skills you need to prepare for an entry-level cybersecurity job. In this course, you will be introduced to the world of cybersecurity through an interactive curriculum developed by Google.

Here are things you will learn in this course:

Identify how security attacks impact business operations.
Explore the job responsibilities and core skills of an entry-level cybersecurity analyst.
Recognize how past and present attacks on organizations led to the development of the cybersecurity field.
CISSP eight security domains. — Identify security domains, frameworks, and controls.
Explain security ethics. — Recognize common tools used by cyber security analysts.

You will also learn about significant events that led to the development of the cybersecurity field, explain the importance of cybersecurity in today’s business operations, and explore the job responsibilities and skills of an entry-level cybersecurity analyst

Here is the link to join this course — Foundations of Cybersecurity

Press enter or click to view image in full size

Talking about social proof, more than 56,182 people have already enrolled in this course. You can also join the course for free but you won’t get a certificate, for that, you need to either join this certificate and pay the fee or get a Coursera Plus membership program, which gives access to more than 7000+ courses and certifications.

2. Play It Safe: Manage Security Risks

This is the second course in the Google Cybersecurity Certificate. These courses will teach you the skills you need to apply for an entry-level cybersecurity job.

You’ll build on your understanding of the topics that were introduced in the first Google Cybersecurity Certificate course.

In this course, you will take a deeper dive into concepts introduced in the first course, with an emphasis on how cybersecurity professionals use frameworks and controls to protect business operations.

In particular, you’ll identify the steps of risk management and explore common threats, risks, and vulnerabilities.

Here is the link to join this course — Play It Safe: Manage Security Risks

3. Connect and Protect: Networks and Network Security

This is the third course in the Google Cybersecurity Certificate. In this course, you will learn skills that you need to apply for an entry-level cybersecurity job.

You’ll also build on your understanding of the topics that were introduced in the second Google Cybersecurity Certificate course.

Here are key things you will learn in this course:

Describe the structure of different computer networks.
Illustrate how data is sent and received over a network.
Recognize common network protocols.
Identify common network security measures and protocols.
Explain how to secure a network against intrusion tactics.
Compare and contrast local networks to cloud computing.
Explain the different types of system hardening techniques.

Here is the link to join this course — Connect and Protect: Networks and Network Security

4. Tools of the Trade: Linux and SQL

This is the fourth course in the Google Cybersecurity Certificate. In this course, you will learn skills that you’ll use on the job as a cybersecurity analyst.

First, you’ll practice using Linux, an operating system commonly used by cybersecurity professionals. For example, you’ll use the Linux command line through the Bash shell to navigate and manage the file system and authenticate users. Then, you’ll also use SQL to communicate with a database.

By the end of this course, you will learn:

the relationship between operating systems, applications, and hardware.
how to compare a graphical user interface to a command line interface.
Identify the unique features of common Linux distributions.
Navigate and manage the file system using Linux commands via the Bash shell.
How to use Linux commands via the Bash shell to authenticate and authorize users.
How to describe how a relational database is organized.
How to use SQL to retrieve information from a database.
How to apply filters to SQL queries and use joins to combine multiple tables.

Here is the link to join this course — Tools of the Trade: Linux and SQL

5. Assets, Threats, and Vulnerabilities

This is the fifth course in the Google Cybersecurity Certificate. In this course, you will explore the concepts of assets, threats, and vulnerabilities. First, you’ll build an understanding of how assets are classified.

Next, you will become familiar with common threats and vulnerabilities, and the security controls used by organizations to protect valuable information and mitigate risk.

Here are key things you will learn in this course:

Effective data handling processes.
Role of encryption and hashing in securing assets.
how to effectively use authentication and authorization.
how common vulnerability exposures are identified by MITRE.
Analyze an attack surface to find risks and vulnerabilities.
Identify threats, such as social engineering, malware, and web-based exploits.

You will also develop an attacker mindset by practicing the threat modeling process, and you’ll learn tactics for staying ahead of security breaches.

Here is the link to join this course — Assets, Threats, and Vulnerabilities

6. Sound the Alarm: Detection and Response

This is the sixth course in the Google Cybersecurity Certificate. In this course, you will focus on incident detection and response.

You’ll define a security incident and explain the incident response lifecycle, including the roles and responsibilities of incident response teams.

You’ll also analyze and interpret network communications to detect security incidents using packet sniffing tools to capture network traffic.

Here are key things you will learn in this course:

how to explain the lifecycle of an incident.
Describe the tools used in the documentation, detection, and management of incidents.
Analyze packets to interpret network communications.
Perform artifact investigations to analyze and verify security incidents.
Identify the steps to contain, eradicate, and recover from an incident
Determine how to read and analyze logs during incident investigation.
Interpret the basic syntax and components of signatures and logs in Intrusion Detection Systems (IDS) and Network Intrusion Detection Systems (NIDS) tools.
Perform queries in Security Information and Event Management (SIEM) tools to investigate an event.

By assessing and analyzing artifacts, you’ll explore the incident investigation and response processes and procedures.

Additionally, you’ll practice using Intrusion Detection Systems (IDS) and Security Information Event Management (SIEM) tools.

Here is the link to join this course — Sound the Alarm: Detection and Response

7. Automate Cybersecurity Tasks with Python

This is the seventh course in the Google Cybersecurity Certificate. In this course, you will be introduced to the Python programming language and apply it in a cybersecurity setting to automate tasks.

You’ll start by focusing on foundational Python programming concepts, including data types, variables, conditional statements, and iterative statements.

Here are things you will learn:

how the Python programming language is used in cybersecurity.
Write conditional and iterative statements in Python.
Create new, user-defined Python functions.
Use Python to work with strings and lists.
Use regular expressions to extract information from text.
Use Python to open and read the contents of a file.
Identify best practices to improve code readability.
Practice debugging code

You’ll also learn to work with Python effectively by developing functions, using libraries and modules, and making your code readable. In addition, you’ll work with string and list data, and learn how to import, parse, and debug files.

Here is the link to join this course — Automate Cybersecurity Tasks with Python

8. Put It to Work: Prepare for Cybersecurity Jobs

This is the eighth and final course in the Google Cybersecurity Certificate. Together, these eight courses will give you all the skills you need to apply for an entry-level cybersecurity job.

In this course, you will focus on making decisions and escalating incidents to stakeholders.

You’ll develop the communication and collaboration skills needed to inform and influence stakeholders within an organization.

In addition, you’ll explore how to ethically operate as a cybersecurity professional. You’ll discover how to engage with the cybersecurity community, explore jobs in the cybersecurity field, and complete practice interviews.

You’ll also write a resume and cover letter to prepare for applying and interviewing for jobs in cybersecurity

Here is the link to join this course — Put It to Work: Prepare for Cybersecurity Jobs

Why Join Google’s Cyber Security Professional Certificate in 2026?

Apart from the skills you are going to learn in this program, here are a few more reasons why you should Google’s Cyber Security Professional certificate in 2026

1. Employer Recognition

One of the major benefits of the Google Cyber Security Professional Certificate is its employer recognition.

Upon completion of the certificate, learners can directly apply for jobs with Google and over 150 U.S. employers, including American Express, Deloitte, Colgate-Palmolive, Mandiant (now part of Google Cloud), T-Mobile, and Walmart.

The certificate program is designed and delivered by subject matter experts at Google, providing learners with professional-level training that is highly regarded by employers.

2. Dual Credential

In addition to earning an employer-recognized certificate from Google, learners who complete the certificate program will also be prepared for the CompTIA Security+ exam, the industry-leading certification for cybersecurity roles.

Earning this dual credential can help learners stand out in the job market and demonstrate their proficiency in cybersecurity principles and practices.

3. Time and Cost

The Google Cyber Security Professional Certificate can be completed in less than six months, with a commitment of under 10 hours per week.

The program is also affordable, with a cost of $39 per month for enrollment in the certificate program.

This makes it an accessible option for learners who may not have a degree or experience in cybersecurity, but who are interested in pursuing a career in this field.

By the way, If you are planning to join multiple Coursera courses or specializations, then consider taking a Coursera Plus subscription which provides you unlimited access to their most popular courses, specializations, professional certificates, and guided projects. It costs around $399/ per year but is worth it because you get access to more than 7000+ courses and projects, and you can also get unlimited certificates.

Coursera Plus | Unlimited Access to 7,000+ Online Courses

Get unlimited access to over 90% of courses, Projects, Specializations, and Professional Certificates on Coursera…

coursera.pxf.io

4. People’s review

It’s also important to know what others are saying about this course, let’s check out some reviews of Google’s Cyber Security Professional certificate.

Here is one of them.

And, here is another one:

If you want to read more reviews, you can also check here

Conclusion

That’s all in this review of Google’s Cyber Security Professional certificate. The Google Cyber Security Professional Certificate is a comprehensive and affordable option for learners who want to prepare for a career in cybersecurity.

With professional-level training from subject matter experts at Google and employer recognition from top companies, this certificate program can help you gain the skills needed to succeed in this high-growth field.

Additionally, the dual credentials of the Google Cyber Security Professional Certificate and the CompTIA Security+ certification can help learners stand out in the job market and demonstrate their proficiency in cybersecurity principles and practices.

Overall, the Google Cyber Security Professional Certificate is a worthy investment for anyone interested in a career in cybersecurity. If you want to become a Cyber Security Engineer in 2026, I highly recommend you to join this course.

Google Cybersecurity

Prepare for a new career in the high-growth field of cybersecurity, no degree or experience is required. Get professional…

coursera.pxf.io

By the way, If you are planning to join multiple Coursera courses or specializations, then consider taking a Coursera Plus subscription which provides you unlimited access to many specializations, professional certificates, and guided projects.

It costs around $59/ per month but is worth it because you get access to more than 7000+ courses and projects, and you can also get unlimited certificates.

Coursera Plus | Unlimited Access to 7,000+ Online Courses

Get unlimited access to over 90% of courses, Projects, Specializations, and Professional Certificates on Coursera…

coursera.pxf.io

I Tried 30+ Python Programming Courses - Here are My Top 5 Recommendations for 2026

2026-04-13T06:36:00.000-07:00

Hello guys, after spending over 500 hours in last 8 years and going through more than 30 Python courses on Udemy, I can finally give you an honest, no-BS guide to the absolute best Python courses available in 2026.

Why Python? Because if you want to start coding, break into tech, or pivot your career in 2026, Python is hands-down your best choice.

It’s the most popular programming language globally, dominating fields like software development, data science, machine learning, AI, automation, web development, and even game development.

The job market agrees — Python developers consistently command top salaries, and companies from startups to Fortune 500s are desperately seeking Python talent.

But here’s the problem: Not all Python courses are created equal.

I’ve wasted countless hours on boring, outdated courses that teach Python 2, skip important concepts, or drone on with theory without practical application. I don’t want you to make the same mistakes.

The best thing is that Udemy is running their biggest sale of the year now, and offering over 80 to 90% discount on Black Friday. This means you can get all of these courses for less than $50 which is like the best money you can spend on learning a useful skill like Python in this AI age.

And, if you are in hurry, start with this amazing Python course by Angela Yu, one of my favorite Udemy instructors.

Why I Trust Udemy for Learning Python?

Before we dive in, let me explain why Udemy became my go-to platform:

180,000+ courses covering every conceivable topic
Affordable pricing — courses regularly go on sale for just $10–15
Lifetime access — buy once, learn forever, revisit anytime
Udemy Personal Plan — $30/month for access to 10,000+ top courses
Practical, project-based courses created by industry experts
Real student reviews — you can see what actually works

I’ve personally invested in the Udemy Personal Plan because I learn new technologies constantly, and having unlimited access has saved me thousands of dollars while giving me the flexibility to explore different teaching styles until I find what clicks.

Now, after trying over 30 Python courses, here are my top 5 recommendations that actually deliver results.

My Top 5 Python Programming Courses on Udemy for 2026

Without any further ado, here are my top 5 Python programming courses for 2026. Most of them are tried and tested by millions of developers and if you want to learn Python in 2026, they are the ones you should join.

1.100 Days of Code — — The Complete Python Pro Bootcamp for 2026

Instructor: Angela Yu
Best For: Absolute beginners and those who learn by building

This is, without question, the #1 Python course on Udemy right now, and after completing it myself, I understand why.

Course Overview:

Angela Yu’s bootcamp-style course is based on the viral #100DaysOfCode challenge. You’ll build 100 Python projects in 100 days, covering everything from basic syntax to advanced applications in data science, web development, automation, and machine learning.

What Makes This Course Extraordinary:

Angela is a former bootcamp instructor, and it shows. Her teaching style is clear, engaging, and designed to make complex concepts accessible. Unlike most instructors who drone through slides, Angela makes learning genuinely fun and addictive.

Comprehensive Coverage:

60+ hours of on-demand video content
667 lectures covering Python fundamentals to advanced topics
229 articles with written explanations and resources
116 downloadable resources including code, cheat sheets, and project files

Skills You’ll Master:

Python 3 fundamentals and advanced concepts
Web scraping with Beautiful Soup and Selenium
Web development with Flask
Data science with Pandas and NumPy
Data visualization with Matplotlib, Plotly, and Seaborn
Machine learning with Scikit-Learn
Desktop GUI applications
API development and integration
Automation scripts that save hours of work

Real Projects You’ll Build:

Professional portfolio website
Blog with authentication
Automated trading bot
Watermarking desktop app
Data visualization dashboards
Snake game, Pong game, and more
Real-world automation scripts

Why Students Love It:

With consistently stellar reviews, students report landing jobs, switching careers, and building confidence through the progressive project-based approach. The course doesn’t just teach you Python — it teaches you to think like a programmer.

Perfect If You’re:

Brand new to programming
Want a structured, daily learning routine
Learn best by building real projects
Looking for the most comprehensive Python course available
Interested in data science, web development, or automation

Here is the link to join this course — Start Your Python Journey with Angela Yu →

2. Complete Python Bootcamp: Go from Zero to Hero in Python 3

Instructor: Jose Portilla
Best For: Beginners and programmers switching from other languages

Jose Portilla is a Udemy legend with over 4 million students, and this course is one of the reasons why. Multiple Python experts recommended this to me, and it exceeded my high expectations.

What Sets This Course Apart:

This is one of the rare courses that covers both Python 2 and Python 3, which is invaluable if you need to maintain legacy code (surprisingly common in enterprise environments). However, the focus is appropriately on Python 3.

Comprehensive Curriculum:

Complete Python 3 fundamentals
Object-oriented programming (OOP)
Python decorators and generators
Working with PDFs and spreadsheets
Web scraping and automation
Email automation
Image manipulation with Python
Data analysis fundamentals

Teaching Style:

Jose’s teaching philosophy is simple yet powerful: explain concepts clearly, demonstrate with examples, then let you practice. His lectures are concise, avoiding unnecessary fluff while ensuring you understand the “why” behind each concept.

Who Should Take This Course:

This course excels for three groups:

Complete beginners who’ve never programmed
Programmers from other languages (Java, C++, JavaScript, Ruby) wanting to learn Python
Python programmers who know basics but want to level up

Real-World Application:

Students consistently report getting Python interviews and jobs after completing this course. The skills taught translate directly to workplace requirements — no fluff, just practical knowledge.

Perfect If You’re:

Want clear, concise explanations without wasted time
Coming from another programming language
Need to understand both Python 2 and 3
Prefer a systematic, bootcamp-style approach

Here is the link to join this Python course — Complete Python Bootcamp: Go from zero to hero in Python 3

3. Complete Python Developer in 2026: Zero to Mastery

Instructor: Andrei Neagoie
Best For: Career-switchers and those targeting web development roles

Andrei Neagoie runs the Zero to Mastery Academy, and his Python course reflects the quality and depth you’d expect from a dedicated online school. This is one of the highest-rated Python courses on Udemy, and for good reason.

The ZTM Difference:

Unlike courses that teach Python in isolation, Andrei’s approach prepares you for real developer careers. You’ll learn Python in the context of actual industry applications, particularly web development and machine learning.

What You’ll Build:

This project-heavy course has you building 12+ real-world applications, including:

Professional portfolio website to showcase your skills
Web scraper using Python and Beautiful Soup
Automation scripts for productivity
Machine learning applications
Data analysis projects
API integrations

Comprehensive Coverage:

Python 3 fundamentals and advanced features
Web development with Python (Flask/Django)
Machine learning and data science basics
Automation and scripting
Working with databases
Testing and debugging
Career advice and interview preparation

Why This Course Stands Out:

If Angela Yu’s or Jose Portilla’s teaching styles don’t resonate with you (everyone learns differently), Andrei offers an excellent alternative. His explanations are thorough, his projects are practical, and his community support is exceptional.

Here is the link to join this Python course on Udemy — Complete Python Developer in 2026: Zero to Mastery

The ZTM Academy Advantage:

Andrei runs the Zero to Mastery Academy where you can access all his courses (Python, JavaScript, Web Development, Machine Learning, etc.) for a single monthly subscription of $39. If you’re learning multiple technologies, this is incredible value.

Use code FRIENDS10 for 10% off ZTM Academy membership!

Perfect If You’re:

Targeting web development or machine learning careers
Want comprehensive project portfolio
Prefer thorough, detailed explanations
Considering multiple technology learning paths

4. The Python Mega Course: Build 10 Real World Applications

Instructor: Ardit Sulce
Best For: Hands-on learners who want diverse project experience

If you’re the type who learns best by building, this course is your perfect match. Ardit Sulce is a Python expert who understands that the best way to master programming is through practical application across different domains.

The Project-Based Approach:

Instead of endless theory, you’ll immediately dive into building 10 substantial real-world applications that showcase Python’s versatility across multiple domains:

Projects Include:

Web scraper — Collect and analyze data from websites
Portfolio website — Build and deploy on a real server
English-to-other-language translator — Working with APIs
Webcam motion detector — Computer vision application
Desktop database application — GUI development
Data visualization dashboard — Present insights beautifully
Geocoding web app — Working with maps and location data
Mobile-friendly website — Responsive design
Book inventory — CRUD operations and databases
Interactive data dashboard — Advanced visualization

Skills Across Multiple Domains:

Web development and deployment
Data collection and web scraping
GUI desktop application development
Data visualization and analysis
API integration and development
Database management
Computer vision basics
Automation and scripting

Why This Course Excels:

Each project teaches different aspects of Python while building something genuinely useful. You’re not creating toy examples — these are applications you can actually use, show potential employers, or even monetize.

Ardit’s teaching style is practical and focused. He doesn’t waste time on unnecessary theory; instead, he shows you how professionals solve real problems with Python.

Perfect If You’re:

Learn best through hands-on project work
Want a diverse portfolio to show employers
Prefer practical application over theory
Interested in multiple Python domains

Here is the link to join this Python course — The Python Mega Course: Build 10 Real World Applications

5. The Modern Python 3 Bootcamp by Colt Steele

Instructor: Colt Steele
Best For: Those who appreciate engaging, entertaining instruction

Colt Steele is Udemy royalty for a reason — he’s a former bootcamp instructor with an incredible talent for making programming accessible and even fun. His Python bootcamp lives up to his reputation.

Course Statistics:

29+ hours of comprehensive content
4.7 rating from over 151,000 students
Regularly updated with Python 3 best practices
Extensive coverage from basics to advanced topics

What Makes Colt’s Course Special:

Colt’s background as a professional bootcamp instructor shines through in every lecture. He knows exactly where beginners struggle and preemptively addresses confusion before it happens.

Comprehensive Coverage:

Python 3 fundamentals and syntax
Data structures (lists, dictionaries, sets, tuples)
Functions, lambdas, and decorators
Object-oriented programming (OOP)
File I/O and working with data
Web scraping and APIs
Web development fundamentals
Testing and debugging
Regular expressions
Iterators and generators

Engaging Teaching Style:

What sets Colt apart is his ability to make dry concepts entertaining. He uses humor, real-world analogies, and practical examples that stick in your memory. Students consistently mention feeling motivated to continue learning because his teaching style is so engaging.

Hands-On Projects:

Throughout the course, you’ll build numerous projects and complete coding exercises that reinforce each concept. Colt believes in learning by doing, not just watching.

Perfect If You’re:

Want an entertaining, engaging learning experience
Appreciate thorough explanations with personality
Looking for a true bootcamp-style curriculum
Value structured progression from basics to advanced

Here is the link to join this Python course — — The Modern Python 3 Bootcamp by Colt Steele

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Honorable Mentions: Courses That Almost Made the Cut

While my top 5 courses above are exceptional, several other courses deserve recognition:

Python for Data Science and Machine Learning Bootcamp by Jose Portilla

If your primary goal is data science rather than general Python development, this specialized course is outstanding. Jose focuses specifically on NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Scikit-Learn for machine learning applications.

Automate the Boring Stuff with Python Programming by Al Sweigart

Based on the popular book, this course is perfect for non-programmers who want to use Python for automation. If you’re not targeting a developer career but want to automate spreadsheets, PDFs, emails, and repetitive tasks, this is ideal.

Python and Django Full Stack Web Developer Bootcamp by Jose Portilla

For those specifically targeting web development careers with Python, this course combines Python fundamentals with the Django framework, HTML, CSS, JavaScript, and Bootstrap for full-stack development.

Learn Python Programming Masterclass by Tim Buchalka

Tim is a veteran instructor with decades of programming experience. His course is thorough and traditional, perfect for those who prefer a more academic, systematic approach.

How to Choose the Right Python Course for You?

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

Pick Angela Yu’s 100 Days of Code if you want the most comprehensive, project-filled course available and learn best with daily structure.

Choose Jose Portilla’s Complete Bootcamp if you want clear, concise instruction from a proven expert with millions of successful students.

Select Andrei’s Zero to Mastery course if you’re targeting web development or machine learning careers and want excellent career preparation.

Go with Ardit Sulce’s Mega Course if you learn best by building diverse projects and want a portfolio of 10 applications.

Pick Colt Steele’s Modern Bootcamp if you appreciate engaging, entertaining instruction that makes learning genuinely fun.

My Recommended Learning Path for Python in 2026

Based on trying 30+ courses, here’s the path I’d follow if starting over:

Months 1–2: Foundation

Choose ONE of the top 5 courses and commit to it completely
Code along with every example — don’t just watch
Complete all exercises and assignments
Build variations of the projects to solidify understanding
Practice 1–2 hours daily (consistency beats intensity)

Months 3–4: Specialization

Decide your path: Web Development, Data Science, or Automation
Take a specialized course in your chosen area
Build 2–3 personal projects from scratch
Contribute to open-source Python projects
Start a GitHub portfolio to showcase your work

Months 5–6: Advanced Skills

Learn testing and debugging best practices
Study design patterns and clean code principles
Build a substantial portfolio project (2–3 weeks of focused work)
Practice coding interview problems on LeetCode/HackerRank
Network with other Python developers online

Continuous Improvement:

Join Python communities (Reddit’s r/learnpython, Discord servers)
Read “Clean Code” and “Python Tricks” books
Follow Python blogs and podcasts
Build side projects that solve real problems
Consider contributing to open-source projects

The Udemy Advantage: Why These Courses Work

After trying courses on multiple platforms, Udemy courses consistently delivered better results for these reasons:

1. Practical, Project-Based Learning Theory is useless without application. These courses have you building real projects from day one, ensuring skills stick.

2. Affordable Investment At $10–15 per course during sales (which happen constantly), the ROI is incredible. Compare this to $10,000+ bootcamps teaching similar content.

3. Lifetime Access Buy once, access forever. Revisit sections when you need refreshers or when new content gets added.

4. Learn at Your Own Pace No arbitrary deadlines or pressure. Learn when you have time, pause when life gets busy.

5. Active Q&A Communities Stuck on something? The Q&A sections have instructors and students helping each other, often with responses within hours.

6. Real Student Reviews You can see exactly what worked (or didn’t) for thousands of students before investing your time and money.

Why Python Skills Are Essential in 2026

The demand for Python developers isn’t slowing down — it’s accelerating:

Job Market Reality:

Python developers earn $110,000–150,000+ annually (US market)
Every major tech company uses Python extensively
Startups default to Python for rapid development
Data science and AI roles almost exclusively use Python

Versatility Across Industries:

Finance: Trading algorithms, risk analysis, automation
Healthcare: Medical imaging, drug discovery, patient data analysis
Entertainment: Visual effects, game development, streaming platforms
E-commerce: Recommendation engines, fraud detection, inventory management
Research: Scientific computing, simulations, data analysis

Future-Proof Skills: Python’s simplicity and versatility ensure it will remain relevant for decades. The skills you learn today will serve you throughout your career, even as specific frameworks and libraries evolve.

Common Questions About Learning Python

Do I need math or prior programming experience? No! All five courses assume zero knowledge. Math skills help for data science, but aren’t required for general Python development.

How long until I can get a job? With 3–6 months of dedicated study (10–15 hours/week) and a portfolio of projects, you can qualify for entry-level Python positions.

Which course should I start with? If you’re truly a beginner, start with Angela Yu’s 100 Days of Code or Jose Portilla’s Complete Bootcamp. Both are designed for absolute beginners and have the best track records.

Python 2 or Python 3? Learn Python 3. Python 2 reached end-of-life in 2020 and is no longer supported. Only learn Python 2 if maintaining legacy code.

Can I learn Python for free? Yes, free resources exist, but quality courses on Udemy at $10–15 provide structured learning, projects, and support that free resources can’t match. It’s worth the investment.

Should I get Udemy Personal Plan? If you plan to learn multiple technologies (Python, web development, data science, cloud, etc.), the $30/month Personal Plan is excellent value. If focusing solely on Python, buy courses individually.

My Final Recommendation

If I could only recommend one course from these five, it would be Angela Yu’s 100 Days of Code: The Complete Python Pro Bootcamp.

Here’s why: It’s the most comprehensive, up-to-date, and practical course available. The 100-project structure ensures you’re constantly building and reinforcing concepts.

Angela’s teaching style makes complex topics accessible, and the course covers everything from basics to advanced applications in web development, data science, and automation.

However, everyone learns differently. If Angela’s style doesn’t click with you after a few lectures, Jose Portilla’s or Andrei Neagoie’s courses are equally excellent alternatives.

The key is this: Pick one course and commit to completing it. Don’t jump between courses. Don’t get distracted by shiny new offerings. Complete ONE course thoroughly, build projects, and practice consistently.

Take Action: Your Python Journey Starts Now

I’ve spent 500+ hours and countless dollars testing Python courses so you don’t have to. These five courses represent the absolute best Udemy has to offer for learning Python in 2026.

The difference between dreaming about a programming career and actually having one comes down to taking action. Don’t let analysis paralysis stop you from starting.

Here’s my challenge to you:

Pick ONE course from this list today
Clear your schedule for the next 3 months
Commit to coding 1–2 hours daily
Build every project, complete every exercise
Share your progress and projects online

Python changed my career and opened doors I never imagined. It can do the same for you.

Other AI and Cloud Computing Resources you may like

Thanks for reading this article so far. If you find these best Udemy courses to learn Python then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — If you want to start from books the start with AI Engineering by Chip Huyen and The LLM Engineering Handbook by Paul Iusztin and Maxime Labonne, both of them are great books and my personal favorites. They are also highly recommend on Redditt and HN.

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Why Software Architecture Skills Are Your Best Defense Against AI Replacing Your Job in 2026

2026-04-11T21:39:00.000-07:00

Hello guys, in 2026, many engineers share the same quiet fear: what if AI makes my coding skills obsolete? and its not unfounded. With so many news of layoffs floating around like TCS’ 12K layoff and Microsoft’s letting 9K people let go, its obviously that we should be worried.

Another thing is the pace of development in AI, with tools like GitHub Copilot, ChatGPT, Claude Code, and automated code generators getting better every day, it’s no surprise that developers worry about their long-term career security.

As I can say for sure that ChatGPT can beat 99% developer when it comes to coding and rest 1% are the developers who are actually building ChatGPT but there are skills which companies still need.

If all you can bring to the table is “just coding,” you risk being replaced by automation — or simply being seen as less valuable to your company.

But here’s the good news: there’s a way to stay ahead. If you are a senior engineer and want to become a tech lead or Software Architect and looking for resources then you have come to the right place.

Earlier, I have shared best Software Architecture resources, books, and courses and today, I am going to talk about how you can acquire Software architecture skills to survive on this AI age.

I will also going to share a great resource I found recently which can be used to transition from senior Software Engineer to Tech Lead and Software Architect roles.

Why Software Architecture Is Your Edge?

The one thing AI can’t replace easily is architectural thinking — the ability to design, structure, and guide complex systems at scale.

Software architecture isn’t about cranking out lines of code. It’s about:

Deciding how systems should be structured.
Balancing scalability, performance, and security.
Guiding teams through trade-offs and technical decisions.
Shaping the big picture while still being grounded in technical realities.

These are the skills that transform a “senior developer” into a software architect — a role that companies desperately need and are willing to pay top dollar for.

Unfortunately, there are not many single resources which you can use to transition from senior developer to Software Architect but I recently come across Certified Professional for Software Architecture course by Michael Pogrebinsky and completely blown away by the breadth and depth of this training material.

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While the course is bit expensive but if you want to grow your career from senior developer to Software Architect then this is the investment you need to make, and if you compare salaries of senior engineer to software architect, this investment is actually nothing.

You can even use this certification to prepare for prestigious CPSA-F Certification Exam which is widely recognized.

Why You Won’t Learn This in College or on YouTube?

Here’s the catch: software architecture isn’t taught in universities, bootcamps, or quick YouTube tutorials.

Colleges focus on theory and fundamentals, not how to lead real-world systems.
YouTube & blogs are fragmented — you’ll get random tidbits, but no structured roadmap.
While Books are certainly useful, and I have shared best Software Architecture books earlier but they are also also extremely verbose. It can take months to piece together scattered concepts, and even then, you’ll still wonder if you’ve covered everything that actually matters.

That’s why so many experienced engineers feel stuck. They’ve mastered coding but don’t know how to take the leap into architecture-level thinking.

That’s where Certified Professional for Software Architecture course by Michael Pogrebinsky comes in. This is one of the specialized training material created to pass iSAQB CPSA-F Certification Exam but even if you are not preparing for this cert, you can still use this training material to level up your software architecture skill.

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I will talk about this program a bit more in coming section but its totally gold for senior engineer, especially to survive in this Artificial Intelligence wave which is already eating junior and mid level engineer for breakfast, lunch and dinner.

The Solution: Certified Professional for Software Architecture (CPSA)

This is where the Certified Professional for Software Architecture (CPSA) training comes in.

Instead of wasting years stitching together scattered resources, this program condenses all the relevant knowledge you actually need into a practical, digestible, and impactful format.

Here’s what makes it different:

Structured, end-to-end learning: No fluff, no filler — just the essential principles and practices.
Designed for senior engineers: Targets professionals who already know how to code but want to step up into leadership and architectural roles.
Industry-recognized certification: Gives you credibility and career leverage.
Future-proof skills: Focuses on decision-making, design, and system-level thinking that AI can’t automate.

By completing the training, you’ll move beyond “just coding” and position yourself as someone who can lead projects, mentor teams, and architect the systems of tomorrow.

You can check out the training here: Certified Professional for Software Architecture

Why Software Architecture Matters More Than Ever?

Let me be honest, AI scares me as well as but instead of worrying I am taking steps to upskills myself. It’s known truth that companies don’t cut their architects when times get tough — they rely on them even more.

Senior Software Engineers with architecture skills:

Have higher job security (harder to replace).
Earn better compensation.
Gain leadership opportunities.
Stay relevant, even as AI accelerates coding automation.

If you feel stuck in your career or worried about the future, investing in architecture skills is the single most impactful move you can make in 2026.

This is also important if you want to grow as Tech lead or Software Architect as there is a huge difference in salary of both of them, not just in USA but also in India and globally.

You can see that Software architect salaries are 50% higher than senior engineers salary, so any investment made in learning Software Architecture skill is definitely worth it.

To give some perspective:

In the US, the median salary jumps from $160K for engineers to $253K for architects
In India, it goes from around ₹9 LPA to ₹34 LPA
In the UK, architects earn £78K on average, versus £54K for engineers

If you want to do just one thing at the moment, I suggest you to join Certified Professional for Software Architecture, you will thank me later.

Final Thoughts

While its still early days, the rise of AI isn’t the end of software engineering — it’s a shift in what skills are valued. The engineers who will thrive are the ones who go beyond writing code and step into architectural thinking.

The Certified Professional for Software Architecture (CPSA) training is the most practical, structured way to make that leap — without drowning in scattered resources or wasting years trying to figure it out alone.

Don’t wait until it’s too late. Future-proof your career today.

👉 Start your CPSA training here

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Al the best for your System Design journey and cracking those interviews! Keep rocking!

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

P. S. — If you want to do just one thing now then I suggest go and join this Software architecture training program, you will thank me later.

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Top 10 Data Structure and Algorithms Books and Resources for Developers

2026-04-11T03:27:00.000-07:00

image credit — Graph Algorithms by Neo4j

Algorithms are language agnostic, and any programmer worth their salt should be able to convert them to code in their programming language of choice.

Unfortunately, I have come across several programmers who are REALLY good on programming languages like Java or Python-like knows minor details of API and language intricacies but have inferior knowledge of fundamentals Algorithms and Data Structure.

Just ask them to implement any popular sorting algorithms like quicksort or merge sort, and they will fall apart.

If you expect them to know more advanced and sophisticated algorithms like String algorithms, graph algorithms, tree traversal, or greedy algorithms, be ready to check on Interviews; otherwise, you might end up with some surprises.

Once, I come across an excellent candidate for a core Java senior developer role, he was excellent in Core Java, multi-threading but his data structure and algorithm skill was really poor to his experience and caliber.

When did I ask him why he didn’t spend time brushing his algorithm and problem-solving skill before coming to the interview? His excuse was, “those algorithms are just for interviews and never really used in practical coding. I have never used them in my six years of Java development career”.

He was somewhat right; you don’t need to implement a hash table in Java, you can always use the HashMap class or Dictionary in Python for that sense, but he failed to recognize the more long term improvement algorithm and data structure do in improving programming skills.

Algorithms are tools of developing programming solving skill and coding sense, which is required to convert a user requirement into the line of code also known as a computer program.

They are also all around, if you use Facebook Design, have you ever thought about how they find your friends so quickly? Or how does Netflix Technology Blog recommends the movie you want to watch? Those are just a couple of examples of Machine Learning Algorithms, which are taking Algorithms to another level.

And, if you are preparing for coding interviews, you can also checkout AlgoMonster, a great resource created by Google Engineers which also allows you to practice coding problems based upon data structures online on browser.

It also teaches coding interview patterns like sliding window, two pointers etc which can be used to solve 100s of LeetCode problems.

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12 Data Structure and Algorithm Books — Must Read for Developers

Another gold tip to those who think that Algorithms are Data Structures is for those who want to work in Amazon, Google, Facebook, Intel, or Microsoft; remember it is the only skill which is timeless, of course, apart from UNIX, SQL, and C.

Programming languages come and go, but the core of programming, which is algorithm and data structure remains the same.

If you know how a hash table works, then you can use their implementation in any programming language like HashMap from JDK, Dictionary in Python, or HashMap from the C++ boost library.

So, if you are serious about programming and realizing it now that algorithms and data structure is not optional, here are some of the great books to learn algorithms.

Some of you might have already read them before, but they are worth reading again.

1. Introduction to Algorithms by Thomas H. Cormen

This is one of the most popular algorithm books, but be aware that it contains a heavy dose of theory. The current edition of this book is the 3rd Edition, and the 4th Edition is coming soon.

I strongly suggest that every programmer should have this on their bookshelf, but only for short reading and references.

It’s not possible to finish this book in one sitting, and some of you may find it difficult to read as well, but don’t worry, you can combine your learning with an online course like Data Structures and Algorithms: Deep Dive Using Java along with this book.

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This is like the best of both worlds, you learn basic Algorithms quickly in an online course, and then you further cement that knowledge by going through the book, which would make more sense to you now that you have gone through a class already.

Another reason I recommend this book as one of the first books on algorithm is because of its language agnostic and accompanied by lectures here.

A big thanks to all the authors Thomas H Cormen, Charles E. Leiserson, and Ronald L. Rivest for this creating this most comprehensive resource, also known as the CLRS book on Algorithms

2. Algorithms by Robert Sedgewick & Kevin Wayne

This was my preferred resource on algorithms for a long time, it still is, but now I see it less often than before. You will learn lots of background on the algorithm, and nowadays, even specific versions of this book are available for different programming languages like Java and C++.

There’s also a couple of free Coursera online courses for this book, Algorithms Part 1 and Algorithms Part 2, which nicely complements this book. It’s excellent. It’s also my top recommendation to Java programmers for learning algorithms.

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While on Coursera, it also has some of the best collection of Data Structures and Algorithms courses covering each and every essential topic. They are bundled together as Coursera Specialization on Algorithms. If you are keen on learning Algorithms in-depth, that’s the place I would suggest you go.

Believe it or not, but if you already know a programming language, then seeing an example of an algorithm on that programming language than others also reduces the learning curve. You can also read the 4th Edition of this book online for free here.

And, if you find Coursera courses useful, which they are because they are created by reputed companies and universities around the world, I suggest you join the Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its completely worth of your money as you get unlimited certificates.

3. The Algorithm Design Manual by Steve S. Skiena

This is another excellent book on computer algorithms that go over a ton of algorithms with a lot of code as well.

What I especially like about the book is where he actually gives examples of where he used the algorithms (or variations thereof) in practice; it really helps you see the class(es) of problems that a particular algorithm (or family of algorithms) can be used for.

The code is in C, but it’s not very esoteric, and it’s easy to follow. I had also been out of school for a while, and this helped me get up to speed quite quickly on a number of graph algorithms.

I’ve had this book for almost ten years now and still look at it from time to time. Big thanks to @SteveSkiena

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4. Algorithm for Interviews

Algorithm for Interview by Adnan Aziz is a must-read book on algorithms, written in terms of keeping programming interviews in mind.

The cover itself shows how unusual the book could be if you look at the image closely on the cover is drawn with thumbnails of famous people, and the book explains how you can develop such algorithms. Interesting, isn’t it?

Well, I like this book because of its approach and objective, sometimes learning the same thing with different objects helps to understand it better.

5. Algorithm in Nutshell

O’Reilly’s Algorithms, in a Nutshell, is an excellent book to learn programming algorithms, especially for Java programmers. It describes the algorithms with a focus on implementing them and without heavy mathematics used in classic books on algorithms.

All algorithms are presented in pattern form, with a motivation to use them, pictures and pseudo-code giving a high-level overview, and working code (in C, C++, Java, and Ruby).

They also have benchmarks to provide proof of the theoretical performance of the algorithms. In short, one of the best books to learn algorithms for programmers.

6. Algorithm Design by Kleinberg & Tardos

This is actually the second-best book in Algorithms after Thomas Cormon’s Introduction to Algorithms. It’s not really an introduction to algorithms and more suited to experienced programmers.

It’s more about algorithm design for developers familiar with the necessary algorithms. You should start with the Introduction of Algorithm book or Algorithms by Robert Sedgewick and then continue with this book.

Btw, if you like, you can also combine your learning with an online course like Grokking Coding Interview Patterns in Java on Educative. It’s an excellent course to get familiar with essential Algorithms and Data Structure before you move on to the Algorithm Design topic.

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7. Introduction to Algorithms: A Creative Approach

Introduction to Algorithms: A Creative Approach By Udi Manber is another excellent book for self-study as it is full of hundreds of problems and examples.

It is designed to enhance the candidate’s problem-solving abilities and understanding of the principles behind algorithm design, which will help you to develop your Problem solving and Coding skills.

8. The Design and Analysis of Algorithms

This is another great cook on computer algorithms and deserves a place in a programmer’s shelf. Once you’ve gone through the Coursera Specialization on Algorithms and one of the intro books, you can read this book for studying advanced topics in algorithms.

9. Data Structures and Algorithms. Aho, Ullman & Hopcroft

Another good intro book on algorithms and data structures. A lovely and bright book and any programmer who doesn’t like the heavy use of Mathematics on the algorithm will appreciate this book.

Btw, if you find this book challenging to read, which is what some of my readers complain about, then you can also take a look at the Grokking Algorithms by Aditya Bhargava, one of the easiest and exciting books on Algorithms for beginners.

10. Python Algorithms: Mastering Basic Algorithms in the Python Language

This book is designed for Python programmers. Magnus Lie Hetland is also the author of one of the popular introductory Python books, Beginning Python.

As I have told that algorithms are language-independent; learning python algorithms doesn’t mean you cannot implement them in Java or C++, but if you already know Python, then this is an excellent book to learn computer algorithms.

This book also gives a lot of focus on Graph Algorithms, which are very useful in solving real-world problems.

11. Grokking Algorithms

This is the book that was not part of the original series when I published this article on my blog, but after reading this book, I ought to include this into the list because of its simplicity. It’s one of the best books I have read on algorithms, particularly from a beginner’s point of view.

It uses modern-day examples like how Facebook would have stored a username so that it can search it easily when login. These examples resonate better with beginners and help them to grasp the concept like why array is a better choice than a linked list for search.

Aditya’s background in Fine arts also makes this book a visual learning resource. You will find so many interesting, to-the-point diagrams in this book which helps you to learn the concept better and quicker. If you want, you can also read my review of Grokking Algorithms book on The Hacker News

Here is a helpful diagram that weighs this book with other algorithms book mentioned in this list

In short, one of the best Algorithms books for any beginner programmer. It doesn’t cover all the data structure and algorithms, but whatever it covers, it explains them well.

12. A Common-Sense Guide to Data Structures and Algorithms by Jay Wengrow

This is another great book to learn Data Structures and Algorithms for beginners. This book not just will teach you all essential data structures and algorithms but also explain Big(O) notation which is used to measure the performance for any data structure or algorithms.

This book also teach you about advanced concepts like recursion and dynamic programming as well as advanced data structure. It also comes with many exercises which further solidify your knowledge.

In short, a great book for anyone who is serious to improve their DSA Skills and if you are preparing for coding interviews, you can also combine this with the Algomonster, another great resource which is created by ex Google engineers and allows you to practice coding problems on browser.

That’s all about 10 Algorithm books every programmer should read. I agree that algorithms are a complex topic, and it’s not easy to understand them in one reading; in that case, I suggest reading the same book twice.

Also just reading is not enough, try to implement them in a programming language you love. It doesn’t hurt writing your own ArrayList, HashMap, or a tree-based Map implementation.

The effect of the learning Algorithms is not immediately visible, but you will notice a subtle improvement in your thinking, solution building, and code quality over time.

Btw, if you are interested in an online course on algorithms, I suggest you check out Data Structures and Algorithms: Deep Dive Using Java on Udemy. It’s not a free course, but you can buy in just under $10 to $15 on several of Udemy flash sales, which happens every few days

Btw, if you buy any course using my links on this article, I’ll get paid with no additional cost to you, but you should only purchase a course after watching the preview and whether you can connect to the instructor or not.

Purchasing a course where you don’t connect to the instructor will be both a waste of time and money. Same with books, choose the one where you connect with the author and mix with a course if it makes it easy for you. Thanks for your support.

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Thanks for reading this article, If you like this list of books then you would also enjoy my collection of 10 books every programmer should read, which is a list of books on programming, coding, software development techniques, and best practices, computers, programming as profession and experience of some of the great programmers/coders/developers of last 50 years.

At last, there are two types of programmers, one who understands the algorithm and one who doesn’t.

Btw, you don’t need to read all these books to master Algorithms, yes, that’s not required, you can start with one book which you find easy like Grokking Algorithms, and then follow up with another comprehensive book like CLRS.

And, if you like to watch videos rathe than reading articles, here are few YouTube videos where you can find Data structure and algorithms courses and tutorials:

And, here are few free online tutorials to learn Data Structures and Algorithms:

P. S. — If you prefer online courses over books or you want to learn from both books and online courses then you can also check out my list of Top 5 Online Courses to Learn Data Structure and Algorithms. It includes courses on Java, Python, and JavaScript for easy learning.

Top 10 Online Courses to Learn Data Structure and Algorithms - Best of Lot

Hello guys, In the past, I have shared a lot of useful resources like books and tutorials to learn Data Structure and…

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And, if you want to learn System Design, another important topic for interviews then you can also checkout ByteByteGo by Alex Xu, one of the best places to learn System Design for interviews

ByteByteGo | Ace Your Next System Design Interview

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

bytebytego.com

I found the Perfect Course to Learn Software Architecture and It's Awesome

2026-04-10T21:58:00.000-07:00

Hello guys, becoming a software architect and technology leader is the ultimate goal for every software engineer. If you are a senior engineer and want to grow your career and become a technical lead or Software architect but not sure where to start then you have come to the right place.

The path from senior engineer to software architect and technology leader isn’t always clear but with right resources, you can navigate them with confidence.

Today, I am going to share a great resource Certified Professional for Software Architecture by Michael Pogrebinsky, a popular Udemy instructor and software architect himself.

If you don’t know, Michael Pogrebinsky, founder of Top developer Academy, is an experienced software engineer, software architect, and accredited iSAQB® CPSA-F® trainer with years of training experience.

Michael has trained more than 200,000 engineers worldwide, helping them advance their careers, pass job interviews, and acquire the most valuable skills in the industry.

As a practitioner, Michael has also worked at some of the top tech companies, like Google, Intel, DAQRI (acquired by Snap Inc.), and others, where he developed and architected highly scalable, complex systems for digital ad tech, augmented reality, medical simulation, video streaming, and much more.

Having taken many of his Udemy courses on Software Architecture, I can vouch for his teaching style which emphasizes understanding the core fundamentals and developing the right way of thinking and best practices so your skills never go out of date.

Though, in this post, I will talk about his comprehensive training program — Certified Professional for Software Architecture which is a great program to transition from senior software engineer to Software architect and double your salary.

iSAQB CPSA-F On-Demand Certification Training for Software Architects — Top Developer Academy

The only self-paced, on-demand iSAQB-accredited CPSA-F online course. The Certified Professional for Software…

topdeveloperacademy.com

From Senior Engineer to Software Architect: My Honest Take

Transitioning from a senior software engineer to a software architect isn’t just a change in job title — it’s a shift in mindset, responsibility, and expectations.

As someone who recently made that jump, I found myself searching for a program that could offer structured learning, a recognized credential, and real-world architectural guidance.

That’s when I came across the Certified Professional for Software Architecture training course by Michael Pogrebinsky of Top Developer academy.

Here’s my take on whether it truly delivers for aspiring architects — and if it’s the right path to becoming iSAQB CPSA-F® certified.

Why I Chose this Software Architecture Training?

What stood out right away was that this isn’t just a video series — it’s an internationally recognized pathway to the CPSA-F® (Certified Professional for Software Architecture — Foundation Level) certification by iSAQB®.

That means the curriculum aligns with real-world expectations and industry standards, not just theoretical fluff.

This training can also help you acquire software architecture skills (beyond coding) that will make you more valuable to your company, and also make you more desired for other companies.

Given all the things about AI I am hearing, senior developer really needs to catchup software architecture train to remain relevant.

In this course, you will learn the skills that aren’t taught in colleges, on YouTube, or on blogs. While books are definitely an option but they take a lot of time and effort.

They are extremely verbose and scattered — this course condenses all the relevant knowledge and presents it in a very digestible and impactful way.

It‘s best suited for ’senior engineers who are looking to step up in their careers but may feel stuck in their current roles.

Some major points that tipped the scale for me:

International credibility: The iSAQB® CPSA-F® certification never expires and is respected across industries.
Career leverage: It’s a strong signal to employers that you’re ready to take on architectural responsibilities.
Practical focus: Lessons are designed to teach not only architecture theory but how to apply it in real-world projects.

Though, the most significant benefit of this course is learning advanced software architecture concepts which takes your technical skills to next level.

The course is also very visual and full of diagram which help you to understand the architecture and flow better as shown below.

Here is the link to join this course — Certified Professional for Software Architecture

What is CPSA-F® and who is iSAQB®?

The International Software Architecture Qualification Board (iSAQB®) is a global, non-profit organization that develops and maintains standardized curricula and certification programs for software architecture professionals.

Founded by industry experts, iSAQB® aims to ensure high competence in software architecture through its Certified Professional for Software Architecture (CPSA®) certifications.

CPSA-F® stands for Certified Professional for Software Architecture — Foundation Level. It is the first of several software architecture certification curricula schemes created and standardized by iSAQB®.

Earning the CPSA-F® certificate demonstrates a solid understanding of the fundamental principles of software architecture, making you a more qualified and credible professional in the field of software architecture.

Unlike many IT certifications like GitHub Copilot or AWS certifications that expire after a few years, requiring you to repeatedly study and pay an exam, the CPSA-F® certificate never expires.

Talking about this training, Yes. This is an officially accredited training by iSAQB and fully complies with the CPSA-F exam requirements.

What You Will Learn Inside this Course?

The course is dense — in the best way possible. It includes 58 lessons, 19 quizzes, mock exams, and access to materials for a full year.

The curriculum walks you through every major domain a software architect must understand, including:

Software Architecture fundamentals and its relationship to business goals
Key concepts, roles, responsibilities, and design constraints
Risk analysis and quality attributes like scalability, availability, and performance
Core architectural patterns (like Layered, Pipes and Filters, Microservices, and Event-Driven)
Interface design, data modeling, design tactics, and coupling strategies
Architecture documentation, communication, and evaluation

Michael does a fantastic job balancing conceptual clarity with actionable knowledge — he doesn’t just tell you what to do, but also why it matters and how to approach it in real scenarios.

Here is the link to join this program — Certified Professional for Software Architecture

About the Instructor — Michael Pogrebinsky

As I told you before, Michael Pogrebinsky is not your average online instructor, if you are like me, you may have taken many of his Udemy courses on Software Architecture, Concurrency, and Microservices & Event Driven Architecture.

Michael is also founder of Top Developer Academy which is an officially accredited training provider by iSAQB to teach the CPSA-F course.

He brings hands-on experience from Google, Intel, and DAQRI (Snap Inc.), and it shows. His explanations are clear, and his practical experience brings credibility to every example he shares.

He’s trained over 200,000 engineers, and his style is approachable, yet rigorous.

He also includes personal tips for exam prep, software architecture interviews, and long-term career planning — which I found incredibly valuable as someone actively making the career shift.

In short, he is one of the right people you can get to learn all things you need to become a software architect and grow in your career.

You can learn more about here.

Is It Worth the Investment?

One of the key thing about this program is that its not cheap like Udemy courses. It’s real training so there is a real cost which you need to pay but does it worth it? Absolutely.

If you compare the ROI in salary growth and long-term career progression, it’s a smart investment.

To give some perspective:

In the US, the median salary jumps from $160K for engineers to $253K for architects
In India, it goes from around ₹9 LPA to ₹34 LPA
In the UK, architects earn £78K on average, versus £54K for engineers

Even if you’re not chasing the title right away, the knowledge alone makes you a stronger technical leader and communicator.

If you are convinced that its a small investment in your career growth then here is the link to join this course — Certified Professional for Software Architecture

Who should take this Certified Professional for Software Architecture Course?

This course is for anyone interested in software architecture, System Design, Distributed System, Software Engineering or anyone who is preparing for CPSA-F® exam.

It is particularly suitable for:

Software Engineers
Software analysts
Senior Software Engineers
Senior Software Developers
Technical leads / Software Architects
Engineering managers

learn software architecture skills, close knowledge gaps, and earn an internationally recognized certificate.

This training is targeted for industry practitioners with at least 18 months of practical software development experience outside of academia.

However, you can still take the training even if you don’t meet those prerequisites for learning about Software Architecture.

Here is the link to join —Certified Professional for Software Architecture

Final Verdict: Should You Take It?

If you’re a software engineer aspiring to become a software architect — or already stepping into that role —Certified Professional for Software Architecture is one of the most practical and recognized courses available today.

Take this course if you want:

Structured preparation for the iSAQB CPSA-F® certification
To confidently lead architectural discussions and decisions
To accelerate your career path toward technical leadership
A lifetime-valid, globally recognized credential on your resume

If you’re serious about architecture, this is the training that can get you there. It’s thorough, exam-aligned, and taught by someone who’s been in the trenches.

If you are a senior engineer and want to become a tech lead or software architect then I highly recommend you to join this training.

It may seem costly at first but the value it provide is immense and cost is nothing if you compare then salary hike you get when you transition from senior engineer to software architect.

Here is the link to join this certification — Certified Professional for Software Architecture

All the best for your System Design journey and cracking those interviews! Keep rocking!

Other System Design and Coding Interview and Resources you may like

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

P. S. — If you want to do just one thing now then I suggest go and join this Certified Professional for Software Architecture, you will thank me later.

iSAQB CPSA-F On-Demand Certification Training for Software Architects — Top Developer Academy

The only self-paced, on-demand iSAQB-accredited CPSA-F online course. The Certified Professional for Software…

topdeveloperacademy.com

Is Towards AI Academy a Good Place to Learn Agentic AI in 2026?

2026-04-10T08:19:00.000-07:00

Hello guys, when I first started exploring artificial intelligence, I quickly realized how overwhelming the landscape can be.

There are thousands of resources scattered across YouTube, Udemy, Coursera, edX, Educative, Udacity, GitHub repos, and blogs.

Some focus too much on theory, others skip straight to coding without context, and many are simply outdated.

That’s why Towards AI Academy caught my attention. For years, Towards AI has been one of the most popular online publications covering AI, machine learning, and data science.

Towards AI Academy

With self-paced, industry-focused courses for developers, professionals, and companies looking to become AI-first…

academy.towardsai.net

If you don’t know, Towards AI is founded by Louie Peters and Louis-François Bouchard, authors of popular book, Building LLMs for Production, if you haven’t read it, its definitely worth reading.

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning…

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG [Bouchard…

www.amazon.com

In 2026, they’ve transformed that reputation into a structured learning platform designed to help both beginners and working professionals navigate AI with clarity.

But the big question remains: is Towards AI really a good place to learn AI and LLM Engineering in 2026?

Let’s take a closer look.

Why Towards AI Stands Out?

I have tried almost 50+ Artificial Intelligence courses from different platforms including Towards AI and here is what I liked about them, which are also the points which separates them from others:

Industry-first approach — Unlike many academic-heavy programs, Towards AI teaches what’s actually used in modern AI workflows, from large language models (LLMs) to generative AI.
Structured pathways — Their courses are grouped into certificates, bundles, and role-based programs so you don’t have to piece things together yourself.
Updated for 2026 — AI is evolving faster than almost any field, and their material is frequently refreshed to cover new breakthroughs like agentic AI, production-ready LLMs, and enterprise applications.

If you are looking for practical, industry-proven AI training courses that turns developers into AI engineers and anyone into an AI power user then you should definitely check out Towards AI Academy, its also very affordable.

Their book on building a production grade LLMs is definitely one of the best resources I have come across on LLM engineering.

It’s not just a Hands-on Guide on LLMs, Prompting, Retrieval Augmented Generation (RAG) & Fine-tuning but provides a complete roadmap for building Production-Ready Applications using LLMs.

This e-book is also an interactive resource, not a downloadable PDF.

Building LLMs for Production

This book explores various methods to adapt "foundational" LLMs to specific tasks with enhanced accuracy, reliability…

academy.towardsai.net

Top 10 AI and LLM Engineers Courses at Towards AI Academy in 2026

If you’re considering enrolling, here are some of the standout online courses and what they offer:

Agentic AI Engineering — One of their newest courses, focused on designing agent-based AI systems — one of the hottest trends in 2026.

Agentic AI Engineering

This course is for computer science students, ML engineers, and full-stack developers tasked with integrating…

academy.towardsai.net

Master AI for Work — Certificate — A practical course designed for managers, analysts, and business professionals who want to apply AI in day-to-day workflows without heavy coding.

Master AI for Work - Certificate

Edit description

academy.towardsai.net

10-Hours LLM Fundamentals (Video) — A crisp but thorough introduction to large language models, perfect for anyone who wants to quickly understand how GPT, Claude, or Llama models function.

10-Hours LLM Fundamentals (Video)

Transform your ideas into AI-powered solutions. Master LLMs from prompts to deployment with essential skills and…

academy.towardsai.net

Full Stack AI Engineering — This one stood out to me as it covers everything from beginner concepts to advanced LLM development, ideal for engineers transitioning into AI roles.

Build Real Products with LLMs, Context Engineering, RAG.

This course is for developers and engineers ready to take their careers to the next level by mastering AI and LLMs…

academy.towardsai.net

Beginner Python for AI Engineering — Tailored for those coming from a non-programming background, helping you get the Python skills you need for AI.

Become a LLM Developer and Python Pro

This certification is for aspiring AI developers, programmers, coding enthusiasts, and professionals seeking to lead AI…

academy.towardsai.net

Building LLMs for Production — Goes beyond the “toy projects” and teaches how to deploy and scale LLMs in real-world production environments.

Building LLMs for Production

This book explores various methods to adapt "foundational" LLMs to specific tasks with enhanced accuracy, reliability…

academy.towardsai.net

Get it All! From Novice to Expert Bundle — If you don’t want to pick and choose, this bundle is the all-access option that takes you from beginner to advanced AI developer.

Get it all! From Novice to Expert

(For everyone) This bundle combines all our current offers. It is a complete curriculum for ANYONE to learn Python…

academy.towardsai.net

If you ask me, I highly recommend to get their “Get it All! From Novice to Expert Bundle”, its a best value offer as you will get access to their complete curriculum for ANYONE to learn Python based on working with LLMs and becoming proficient with LLMs (with our 10-hour video, business, and LLM developer advanced courses).

Who Should Learn at Towards AI?

While their courses are designed for both beginners and intermediate developers, here are the folks who can get most values from Towards AI Academy courses?

Beginners who need a structured, step-by-step path without getting lost in random tutorials.
Software engineers looking to upskill into AI engineering or LLM development.
Business professionals who want to harness AI in practical workflows without writing heavy code.
Intermediate AI learners who know the basics but want production-level expertise, especially in LLMs and agentic AI.

If you want to start your career in AI or want to transition from Software Engineering to AI Engineering then Towards AI courses are definitely a great resource for you.

To start with you can join their “Get it All! From Novice to Expert Bundle”, and follow their AI curriculum to build AI skills.

Things to Keep in Mind

While Towards AI academy is a great place to learn AI and LLM Engineering, there are few things you need to keep in mind before you jump into any of their courses.

It’s not the cheapest option. While Towards AI offers affordable individual courses, bundles like the Get It All! package are more of an investment.
You’ll need discipline. The material is self-paced, so your progress depends on consistency.
Less academic, more applied. If you’re looking for deep math-heavy ML theory, you might prefer a university-led program.

Overall its a great place to learn and build AI and LLM skills and become an AI Engineer in 2026. I highly recommend this platform to software engineers and developers who want to transition into AI and LLM Engineering in 2026.

To start with you can join their “Get it All! From Novice to Expert Bundle”, and follow their AI curriculum to build AI skills. They are also offering a good discount and you can also use my discount code javin15 to get 15% off on any of their courses.

Final Verdict: Is Towards AI Worth It in 2026?

In my view, yes — Towards AI is one of the best places to learn AI in 2026, especially if your goal is to apply AI skills quickly in real-world scenarios rather than spend months buried in theory.

The combination of practical courses, role-based tracks, and frequent updates makes it a strong choice for both professionals and beginners.

With the rise of generative AI and LLM-driven applications, platforms like this provide a faster, more industry-focused way to stay ahead.

👉 You can explore all their courses here: Towards AI Academy Home.

If you’re serious about AI, I’d personally recommend starting with either the Full Stack AI Engineering path if you’re technical, or Master AI for Work if you’re a business professional looking for practical skills.

Build Real Products with LLMs, Context Engineering, RAG.

This course is for developers and engineers ready to take their careers to the next level by mastering AI and LLMs…

academy.towardsai.net

No-Code AI Mastery for Businesses and Professionals

This course is specifically designed for non-technical professionals who want to harness the power of AI in their…

academy.towardsai.net

Other AI, LLM, and Machine Learning resources you may like

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

P. S. — If you want to do just one thing at the moment then I suggest you to go and join Towards AI academy, particularly their “Get it All! From Novice to Expert Bundle”, and follow their AI curriculum to build AI skills. You will thank me later.

Get it all! From Novice to Expert

(For everyone) This bundle combines all our current offers. It is a complete curriculum for ANYONE to learn Python…

academy.towardsai.net