VQV Signal

BIG MOVE WATCH TECHNICAL

Stanford posts lectures from its CS329Z Engineering AI Agents course on YouTube

According to a post on X by @Retik_S, the Stanford NLP Group has shared posts saying lectures from the Autumn 2026 graduate course CS329Z, Engineering AI Agents, are being published on a public YouTube playlist. The course is taught by Diyi Yang, Michael Ryan and John Yang. Lectures posted so far include an introduction to agentic systems and a DSPy vs. LangGraph session in which Ryan live-codes agents in both frameworks.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-14T20:35:00+00:00 Detected 2026-11-15T02:17:27+00:00
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According to a post on X by @Retik_S, the Stanford NLP Group has shared posts saying lectures from the Autumn 2026 graduate course CS329Z, Engineering AI Agents, are being published on a public YouTube playlist. The course is taught by Diyi Yang, Michael Ryan and John Yang. Lectures posted so far include an introduction to agentic systems and a DSPy vs. LangGraph session in which Ryan live-codes agents in both frameworks.

AI-assisted summary based on the listed source.

The Stanford NLP Group reshared posts noting that lectures from the Autumn 2026 graduate course, taught by Diyi Yang, Michael Ryan and John Yang, are going up on a public YouTube playlist. Lectures posted so far include an introduction to agentic systems and a DSPy vs. LangGraph session where Ryan live-codes...

Developers and students who want to learn how to build AI agents can follow a current Stanford course without enrolling. The posted sessions cover agentic systems and a side-by-side comparison of two agent frameworks, which may help people compare tools. Watch whether more lectures from the course are added to the playlist over time.

Signal Strength 88% Technical label WATCH Public Interest 36 Category BIG MOVE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 51 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 18 Curiosity Score 16 Shareability Score 52

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).