Stanford's fall lineup: Deep Learning Alchemy, AI Agents and World Models courses
ChengleiSi · x · 2026-09-12
Chenglei Si rounds up Stanford's fall AI course lineup:
- CS 312 Deep Learning Alchemy (Hashimoto, Kotha, Wen): built around running many tractable experiments to develop empirical instincts, with assignments, prediction-based quizzes and tutorials; materials will be public, waitlist only as regular enrollment is full.
- Engineering AI Agents (Diyi Yang et al.) on agent engineering.
- AI Agents (Graham Neubig, Dan Fried).
- World Models (thomagu).
Links to all courses are in the original post; several will publish recordings and materials publicly.
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