Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside a single graph: 0% → 17:44 - build your first AI agent 25% → 39:30 - run agents with loop engineering 50% → 1:12:38 - turn agent... loops into graphs 75% → 1:34:26 - build agents that regulate themselves 100% → 1:55:05 - orchestrate the entire multi-agent system Most people build one agent and stop there. Google is teaching the entire stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the next one. This 2-hour course is worth more than most paid agent engineering courses. Bookmark it and watch today Then read the full architecture below ↓show more

This is exactly the kind of course builders need to level up fast

Watching this tonight. Everything i build dies once the loop has to stop itself

which part catches you most, the loops or the graph orchestration piece?

The fact that Google is teaching the full progression (loops → graphs → orchestration) for free is kind of wild. Most paid courses still stop at basic agents.

turning agent loops into a graph is how you scale from single prompts to hundred-agent orchestration

Bookmarking. The graph-based approach is exactly right—single agents are a dead end for anything real. This is what we live daily building Empyre, a full company run by self-regulating agent graphs. The jump from loops to graphs is the moment it clicks. Underrated drop.

Can't find a course by this name on Kaggle, Google Skills or Google's free agents course is the 5-Day AI Agents Intensive with Kaggle: Do you have a direct link?

for builders, the graph layer makes coordination explicit

Multi Agent works visually here because Lunar Google just released a is easy to read at a glance.