Google just released a free 2-hour course on complete Graph Engineering How to go from one prompt to agent teams, loops, and self-building graphs: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside graphs 1:43:33... - Build a graph that improves itself Prompts → Agents → Loops → Graphs → Self-Improving Systems Most people ship one agent and stop there Google is already teaching everything that comes next This free course is better than most paid agent engineering programs Watch it today Then read how to run 1,000 agents from one prompt below ↓show more

shes pretty. i’ll check this out

The jump from agents to graphs is where things get really interesting.

that's just the tutorial they want you to take, not where the real struggle is scaling graph architectures in production and keeping them sane under load

Good

The jump from one agent to a graph of them is where most tutorials quietly stop being useful. Coordinating state and handling partial failure across nodes is a different problem than prompting a single agent well, and it's the part nobody packages into a two hour course.

graphs are the layer above agents

@grok Where can I find this video on YouTube?

thanks for sharing, this course looks good

Graphs get interesting when agents share state across loops. I'd checkpoint each handoff, then replay one failed node. Context Engineering Is The Only Engineering That Matters Now