1/26/2026 Stanford University just made six of its AI education courses free to the world. Learn from professors who shaped the field. The material is recorded, self-paced and free.

Below are URL LINKS to the classes. See my notes about the first course, CS221, below.

All courses are streamed from YouTube so you can replay at faster speed to speed through the boring or lightweight parts.

𝟭. 𝗖𝗦𝟮𝟮𝟭 – 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲
→ Foundations of AI: search, reasoning, planning, decision-making:
https://hubs.li/Q03KwyM-0

𝟮. 𝗖𝗦𝟮𝟮𝟵 – 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗔𝗻𝗱𝗿𝗲𝘄 𝗡𝗴)
→ Supervised learning, unsupervised learning, deep dive into algorithms.
https://hubs.li/Q03KwxSk0

𝟯. 𝗖𝗦𝟮𝟯𝟬 – 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗔𝗻𝗱𝗿𝗲𝘄 𝗡𝗴)
→ Neural networks, CNNs, RNNs, best practices for building deep models.
https://hubs.li/Q03KwxTf0

𝟰. 𝗖𝗦𝟮𝟮𝟵𝗠 – 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗧𝗵𝗲𝗼𝗿𝘆
→ Mathematical underpinnings and rigorous ML proofs.
https://hubs.li/Q03Kwy3r0

𝟱. 𝗖𝗦𝟮𝟯𝟰 – 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
→ Markov decision processes, Q-learning, policy gradients.
https://hubs.li/Q03KwxRt0

𝟲. 𝗖𝗦𝟮𝟮𝟰𝗡 – 𝗡𝗟𝗣 𝘄𝗶𝘁𝗵 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
→ Word embeddings, transformers, modern NLP architectures.
https://hubs.li/Q03KwxwQ0