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How I'm studying for the GH-600 (GitHub Certified: Agentic AI Developer) — from zero

`GitHub just launched a new certification — GH-600, "Certified: Agentic AI Developer" — about building and supervising AI agents (like Copilot) inside real projects. I decided to go for it, even though I started with almost no AI bac…

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`GitHub just launched a new certification — GH-600, "Certified: Agentic AI Developer" — about building and supervising AI agents (like Copilot) inside real projects. I decided to go for it, even though I started with almost no AI background.



The hardest part wasn't the material. It was knowing what to trust. The official study guide is short, and nearly everything else I found was a site trying to sell me a quiz — with no way to see where their answers came from.



So I'm doing it the slow, honest way: reading the official GitHub and Microsoft docs one topic at a time, and learning it by teaching it. As I understand each piece, I write it up as a plain-English lesson — every fact linked back to its official source. Studying and building, in parallel.



That turned into a website, and I've made it completely free for everyone — no signup, no paywall: agenticlately.com. It starts from absolute zero, so you can follow even if you've never used GitHub or touched AI.



I'm being upfront about where it stands: I've covered the foundations and the first two areas so far, and I'm adding new lessons as I work through the rest. It's a journey in progress — if you're prepping too, follow along and it'll grow with you. If a lesson doesn't click, tell me; that's what makes the next one better.






What the GH-600 actually covers



For anyone curious, here's the shape of the exam — six skill areas, with how much each counts (so you know where to spend time):











































# Domain Weight
1 Prepare agent architecture and SDLC processes 15–20%
2 Implement tool use and environment interaction 20–25%
3 Manage memory, state, and execution 10–15%
4 Perform evaluation, error analysis, and tuning 15–20%
5 Orchestrate multi-agent coordination 15–20%
6 Implement guardrails and accountability 10–15%


Domain 2 is the heaviest, so I'm front-loading it. Passing score is 700 / 1000, and it's in beta right now — but the credential is the same as the final version.



If you just want the quick overview, I wrote it up here: GH-600 exam guide.



Good luck if you're taking it too — I'll keep posting as the journey continues.






Independent, unofficial resource. Not affiliated with GitHub or Microsoft. Always confirm details against the official Microsoft Learn study guide.

`

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