AI (artificial intelligence) · 2026 edition
We ranked every AI (artificial intelligence) course in the CourseFlix catalog by community upvotes, freshness, and recent activity. Here are the 10 that keep climbing the list in 2026 — short reasons why for each, plus a comparison table so you can pick the one that fits your time budget and experience level.
Part of CourseFlix · Data & AI
| # | Course | Duration | Rating | Lessons | Access |
|---|---|---|---|---|---|
| 1 | 100 Days of Code - The Complete Python Pro Bootcamp for 2023 | 58h 35m | 5/5 (39) | 445 | Free |
| 2 | The Ultimate Django Series: Part 1 | 4h 49m | 5/5 (7) | 80 | Free |
| 3 | AI Engineering Bootcamp: RAG (Retrieval Augmented Generation) for LLMs | 17h 51m | 5/5 (5) | 171 | Premium |
| 4 | The Ultimate Django Series: Part 2 | 5h 41m | 5/5 (5) | 76 | Premium |
| 5 | Build Your Own AI Personal Assistant in TypeScript | 3h 38m | 5/5 (4) | 113 | Premium |
| 6 | ClaudeKit - Ship Production Features in Hours, Not Weeks | — | 5/5 (4) | 0 | Premium |
| 7 | Build AI-Powered Apps – An AI Course for Developers | 7h 3m | 5/5 (4) | 105 | Premium |
| 8 | 100 Days of Code: The Complete Python Pro Bootcamp | 54h 16m | 4/5 (5) | 414 | Premium |
| 9 | Tactical Agentic Coding - Agentic Engineer | 12h 53m | 5/5 (3) | 14 | Premium |
| 10 | AI Evals For Engineers & PMs | 29h 21m | 5/5 (3) | 41 | Premium |
by Udemy
Welcome to the 100 Days of Code - The Complete Python Pro Bootcamp , the only course you need to learn to code with Python. With over 100,000 reviews and a 4.8 average, this is one of the highest-rated courses in Udemy's history! Course Structure 100 days, 1 hour per day
by Mosh Hamedani (Code with Mosh)
Have you always wanted to learn Web development with Python but didn't know where to start? Tired of lengthy, confusing, and outdated courses? Look no further.
This course shows you how to build smarter AI apps with RAG. You use RAG to give LLMs fresh facts from your own data. This helps you make tools like chatbots, search apps, and simple analysis systems. Why RAG matters LLMs learn from old training data. This can limit their a
by Mosh Hamedani (Code with Mosh)
Do you want to take your Django skills to the next level and become that professional back-end developer that companies love to hire? This is exactly the course you need.
by Matt Pocock
Unlock the true potential of large language models (LLMs) by building your own AI personal assistant in TypeScript. While universal chatbots provide some functionality, they often fall short by not utilizing personal data, failing to remember user preferences, and not adapting t
by Goon Nguyen
ClaudeKit Engineer revolutionizes development by replacing static boilerplate code with a dynamic team of 15 specialized AI agents. Unlike traditional templates, ClaudeKit is a comprehensive system that embraces planning, development, testing, review, and deployment, ensuring co
by Mosh Hamedani (Code with Mosh)
AI is everywhere - but can you really create applications with it? Most developers have tried ChatGPT. Some have even inserted pieces of generated code into a project. But that's not quite the same as creating real AI-based features that make applications smarter, more convenien
by Udemy
Welcome to the 100 Days of Code: The Complete Python Pro Bootcamp , the only course you need to learn to code with Python. With over 100,000 reviews and an average rating of 4.8, our courses are among the highest-rated in Udemy's history! Dedicate 1 hour per day for 100 days,
by IndyDevDan
Tactical Agentic Coding is a revolutionary course designed to elevate your skills from traditional AI coding to Agentic engineering . This transition empowers you to stop writing code manually and shift towards creating systems that autonomously craft other systems. It's th
by Hamel Husain , Shreya Shankar
Learn proven methods for quickly improving AI applications. Build AI systems that outperform competitors, regardless of the specific use case. If you encounter questions like these while working with AI: How to test applications where results are probabilistic and require subj
Three signals matter most when filtering this list:
For absolute beginners the #1 pick on this page is the most balanced choice — it assumes no prior experience and covers fundamentals before moving on to intermediate topics. If you prefer a project-led approach, scan the descriptions below for courses that build something end-to-end; if you want a structured curriculum, look for ones that flag a syllabus.
Most courses on this list run between 10 and 40 hours of video content. A reasonable pace for a working professional is 1–2 hours of focused study per weekday: at that rate even the longest course on this page finishes in 4–6 weeks. Add roughly the same amount of time for exercises and side projects — passive watching is the slowest way to learn.
Each row in the table below shows a Free or Premium tag. Free courses are uploaded by the original author or a community curator and stay available indefinitely on CourseFlix. Premium picks unlock with a single subscription that also covers everything else in the catalog. We don't rank free courses lower — the ordering reflects votes and freshness only.
The list refreshes every quarter based on community votes and new releases — so anything outdated drops off and recent courses surface as their vote count climbs. If a course was strong in 2026 but the underlying technology has since shifted (framework majors, API breaks, new tooling), the freshness badge on the card will warn you. When in doubt, sort the catalog by the Updated date on /topic/100-days-of-code-the-complete-python-pro-bootcamp-for-2023.
Start with the #1 pick. If after the first hour the pace feels wrong (too slow for you, or too fast), bounce to #2 — they're picked to cover the same ground from different angles. The comparison table makes it easy to spot total duration and prerequisite hints. If you already have related experience, skip to a course that flags itself as intermediate or advanced.
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