Learning Hubs
The best free AI courses, curated
Stanford, MIT, DeepMind, Karpathy and more publish world-class AI courses for free — most people never find them. We pick the best, explain why they matter, and link you straight to the source.
16 sources · 58 courses · all free to access
3Blue1Brown
3 coursesThe visual math behind ML — neural nets, linear algebra, calculus.
Andrej Karpathy
4 coursesBuild neural nets from scratch to a GPT — free on YouTube.
Anthropic
3 coursesAI fluency for everyone, plus hands-on prompting from Claude’s makers.
California Institute of Technology
1 courseAbu-Mostafa's 'Learning From Data' — understand why ML works.
Carnegie Mellon University
3 coursesDeep learning, NLP and multimodal ML — full lectures on YouTube.
Cohere
2 coursesLLM University — embeddings, semantic search and RAG, hands-on.
Cornell University
2 coursesKilian Weinberger's beloved ML lectures, and more — all free.
DeepLearning.AI
4 coursesAndrew Ng's free short courses and audit-free specializations.
fast.ai
3 coursesTrain a real model in lesson one. Course, videos and book, free.
Google's ML Crash Course + Kaggle Learn — a gentle on-ramp.
Google DeepMind
3 coursesDavid Silver's RL course and DeepMind × UCL lecture series.
Hugging Face
6 coursesHands-on courses on LLMs, agents, RL, vision and audio.
MIT
6 coursesOpen AI & ML courses, from OpenCourseWare and beyond.
OpenAI
3 coursesSpinning Up in Deep RL, the Cookbook and OpenAI Academy.
Stanford University
7 coursesWorld-class AI courses — much of it quietly public.
UC Berkeley
5 coursesClassic AI, deep RL and data science — much of it public.
More sources coming
Full Stack Deep Learning, W&B, LangChain and more.
All hubs link to materials hosted by their respective providers. AnybodyCanAI is not affiliated with or endorsed by these institutions; their names are used only to identify the source of each course.