Your prep,
at a glance.
Twenty-two hands-on labs with 282 simulations you can operate and break on purpose, and the 304 topics behind them: Kubernetes, GCP, LLMs, RAG, agents, multi-tenancy, architecture and leadership.
Three tracks. They are independent (start whichever suits you) but the order within each is deliberate, and each lab still stands on its own if you would rather not follow it. New to all of it? Open Cloud lab for foundations, or ADK lab to build something today. Revising? The cheatsheet puts every lab’s must-remember points on one printable page.
Build, run and govern an agent: 10 labs, in order
The main track, and the one most people want. Build one, run it in production, hand the building to a coding agent, measure it, secure it, publish it, then the capstone carries a single agent through every stage at once.
Cloud and architecture: 5 labs, in order
How the cloud actually works, what each provider calls the same jobs, how to draw it so somebody else can act on it, and then the two exam workbenches. Useful on its own, and the ground the agent track is standing on.
Under the hood: 6 labs, in order
The layers everything above is running on. Optional depth rather than a prerequisite, take it whenever you want to know why inference is priced the way it is, and read it in order.