I built this course around one thing: the official exam guide. Every domain on the real exam is covered here — agentic architecture, MCP integration, Claude Code configuration, prompt engineering, and context management. This covers real scenarios that you're likely to face in the Claude Code architect exam.The practice questions are pulled straight from the same six scenarios you'll actually see on the exam. We're talking a Customer Support Resolution Agent, a Multi-Agent Research System, Claude Code in a CI/CD pipeline, Structured Data Extraction — real material that mirrors what Anthropic tests you on. And every single question comes with a full explanation. By the time you finish, you'll actually get this material. You'll know how to design agentic loops that don't break, how to wire up coordinator-subagent systems properly, how to configure Claude Code for a real team, and how to get reliable structured output out of the API. Stuff that actually matters in production.If you're a solutions architect, a developer building AI systems, or just someone who wants the cert and wants to actually earn it — this is the practice resource I wish existed when I was preparing. The passing score is 720. Let's get you there. You can do this.
What you'll learn
understand agentic architecture
integrate MCP
configure Claude Code in CI/CD
apply prompt engineering techniques
manage context effectively
Course objectives
prepare for the Claude Code architect certification exam
practice with real exam scenarios
gain practical skills relevant to production environments