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

A developer created a free, open-source study resource for the new GH-600 "Certified: Agentic AI Developer" certification after finding official study materials insufficient. The developer built agenticlately.com, which provides plain-English lessons linked to official GitHub and Microsoft documentation, covering the certification's six skill areas with no signup or paywall. The resource currently covers foundations and the first two exam domains, with new lessons being added as the developer continues studying.

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. 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.