Top 10 YouTube Channels to Learn AI & Machine Learning for Free
If you’re serious about breaking into AI and Machine Learning, you don’t need to spend thousands of dollars on courses. Some of the best teachers, researchers, and practitioners are already sharing world-class knowledge—for free—on YouTube.
The trick?
Stay consistent. Treat it like a self-paced degree: pick one channel, watch one lecture daily, and build along.
Here are 10 YouTube channels every aspiring AI/ML learner should bookmark 👇
1. Andrej Karpathy
Watch here
Andrej, former Tesla AI director and one of the brightest minds in deep learning, shares practical deep dives on neural networks, transformers, and even training models from scratch. If you want “from first principles” clarity, this is gold.
2. sentdex (Harrison Kinsley)
Watch here
Perfect for hands-on learners. Harrison covers everything from Python basics to advanced ML and deep learning projects. His full-length series can take you from zero to building your own applications.
3. Sebastian Raschka
Watch here
Author of Python Machine Learning and Machine Learning with PyTorch and Scikit-Learn, Sebastian explains LLMs, training pipelines, and cutting-edge research with clarity.
4. Jeremy Howard (fast.ai)
Watch here
Co-founder of fast.ai and creator of the famous “Practical Deep Learning for Coders” course. If you want to quickly build working AI systems with less math overhead, Jeremy’s teaching style is unmatched.
5. MIT OpenCourseWare
Watch here
Legendary. Entire university courses—AI, ML, deep learning, linear algebra, CS—free and open. Harder to follow casually, but if you commit, this is as good as a formal MIT education.
6. Stanford Online
Watch here
From Andrew Ng’s classic Machine Learning lectures to modern deep learning seminars, Stanford shares lectures straight from its classrooms. Great mix of theory and cutting-edge research.
7. StatQuest with Josh Starmer
Watch here
Math and stats form the foundation of ML. Josh explains these concepts with humor, clarity, and memorable visuals. If equations scare you, StatQuest will change that.
8. 3Blue1Brown
Watch here
Beautiful, visual explanations of math—linear algebra, calculus, neural networks—that help you build true intuition. A must-watch for understanding why ML algorithms work.
9. Krish Naik
Watch here
Industry-focused tutorials covering end-to-end ML and deep learning projects. Krish also shares interview prep and practical career guidance for aspiring data scientists.
10. CampusX
Watch here
Hands-on, beginner-friendly tutorials designed for students and working professionals. Covers projects, ML workflows, and practical AI applications.
YouTube is quietly the largest free AI/ML university on the planet.
Action plan:
Pick one channel.
Watch one lecture daily.
Build something small each week.
Do this for 6–12 months, and you’ll have the equivalent of a degree—without the debt.
If you want to read books, I have a good collection of books for Data Science, AI/ML related. This list contains Books, PDF, Notes, Interview prep & Cheet-sheets.
Visit here: Books & PDFs for Data Science
Follow me on socials for more updates, behind-the-scenes work, and personal insights:
 | A guest post by
|