Stanford releases CS329Z Engineering AI Agents course free online with all 13 lecture decks
stanfordnlp · x · 2026-11-14
Stanford NLP has made its new course CS329Z: Engineering AI Agents (Fall 2026, taught by Diyi Yang, Michael Ryan, and John Yang) freely available online, with all 13 lecture decks public and early lectures on YouTube.
The course covers the full spectrum from LLM pipelines to compound AI systems and autonomous agents:
- Building RAG, tool use, and agent loops from scratch, then how frameworks like DSPy abstract them
- Memory and multi-agent systems
- Agent evaluation and LLM-as-judge
- Agent safety and prompt injection attacks
- How Claude Code works under the hood
Includes two applied homework assignments and a quarter-long project; schedule and materials at cs329z.stanford.edu.
Related event: Stanford Opens CS329Z Engineering AI Agents Course for Free(6 posts)→
More from coding & agent
- FastMCP 4.2 Ships Skills Over MCP, Pairing Tools With Usage Guidance — jlowin123 · 2026-11-14
- Dev reverse-engineers Waymo's private API into a Cloudflare Worker MCP for Claude — MicahBerkley · 2026-11-14
- Dev's fix for chaotic agent work: a feed-shaped todo list with action buttons — _rchaves_ · 2026-11-14
- Dev replaces his smartphone with 8 Raspberry Pis controlled by OpenAI's Dot — OpenAIDevs · 2026-11-14
- Garry Tan open-sources idea-miner skill that turns your last 48 hours into a ranked build list — garrytan · 2026-11-14
- LLMLean is back: LLM-powered proof suggestions for Lean, local or cloud — wellecks · 2026-11-14