Stanford CS329Z site is live with full syllabus on engineering agentic systems
Diyi_Yang · x · 2026-09-03
The website for Stanford's CS329Z "Engineering AI Agents" (Fall 2026, taught by Diyi Yang, Michael Ryan and John Yang) is live with a full syllabus.
- Course thesis: the shift from monolithic LLMs to compound AI systems demands engineering skills — problem decomposition, data curation, and evaluation
- Students build core components (RAG, tool use, agent loops) from scratch, then learn how frameworks like DSPy abstract these patterns
- Schedule is published week by week: week 1 covers the agentic systems landscape (with readings like Zaharia et al.'s "The Shift from Models to Compound AI Systems"), week 2 covers LLM APIs/SDKs (litellm), structured/constrained generation and decoding strategies
- Lecture materials and assignments will be released on the site.
Related event: Stanford Launches CS329Z: Engineering AI Agents from Scratch This Fall(7 posts)→
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