Build to Certify

Hands-on preparation for the Claude Certified Architect exam.

Build to Certify is not a survey of AI. It's not a prompt-writing workshop. It's eight weeks of structured work that maps directly to the five domains of the Claude Certified Architect exam — and exits with a portfolio that qualifies you for exam registration through the Anthropic Partner Network.

Each module pairs a video walkthrough with runnable Jupyter notebooks and start-up Python scripts so learners focus on judgement rather than scaffolding.

About the Claude Certified Architect (CCA)

The CCA is Anthropic's professional certification for engineers who build production AI systems with Claude. It's a proctored, 120-minute, 60-question exam covering five domains — and unlike most AI credentials, it tests whether you can architect real systems, not just write prompts. Build to Certify maps directly to all five domains.

Domain Topic Weight
1 Agentic Architecture 27%
2 Tool Design / MCP 18%
3 Claude Code 20%
4 Prompt Engineering 20%
5 Context Management 15%

The Curriculum

Build to Certify is structured around modules, each mapped to a CCA exam domain and culminating in a MAKE artifact you ship to your portfolio. The course is self-paced. Students move at their own speed toward the final goal - Agentic AI mastery.

Week Module Domain Weight Focus & Exam Connection
1 Claude API Foundations D4: Prompt Eng. (partial) 20% Messages API, system prompts, stop_reason, tokens, temperature. The request/response foundation every later week builds on. Includes GitHub onramp.
2 Prompt Engineering & Structured Output D4: Prompt Eng. 20% Few-shot examples, tool_use schemas, Pydantic validation, retry loops. Targets the exam's most-missed D4 question: programmatic enforcement vs. prompt requests.
3 Context Management & Reliability D5: Context Mgmt. 15% Context windows, RAG strategies, lost-in-the-middle, prompt caching, progressive summarization. Measured tradeoffs across the 'small but tricky' domain.
4 Tool Design & MCP — Part I D2: Tools & MCP 18% Tool schemas, descriptions as selection signal, tool_choice modes, structured errors. Demonstrates selection failure before the fix — the exam's preferred shape.
5 Tool Design & MCP — Part II D2: Tools & MCP 18% MCP architecture, tools vs. resources vs. prompts, mcp.json, server scoping, error contracts. Students stand up a working MCP server end-to-end.
6 Agentic Architecture — Part I D1: Agentic Arch. 27% The agentic loop from scratch: stop_reason branching, history injection, programmatic prerequisites, hooks. Every loop failure mode the exam tests.
7 Agentic Architecture — Part II D1: Agentic Arch. 27% Hub-and-spoke orchestration, subagent isolation, structured recovery, deterministic escalation. The course's deepest week — and the exam's heaviest domain.
8 Claude Code + CI/CD + Exam Sim D3: Claude Code 20% CLAUDE.md hierarchy, slash commands, plan mode, hooks, the -p flag, Agent Skills. Closes with a timed practice exam and anti-pattern review.

Who this course is for

This course is for you if:

  • You can write basic Python (functions, loops, dictionaries) but haven't built with AI APIs yet

  • You want a credential that maps to where AI engineering jobs are actually moving

  • You learn best by making things, not by watching survey videos

  • You're ready for eight weeks of real work, not a weekend bootcamp

Ready to start?

The course will be launched in August 2026. At completion you’ll exit with a portfolio that proves you can build production AI systems — and a clear pathway to CCA certification. To get notifications about the course, click the link below.

A note on CCA exam access

The Claude Certified Architect exam is administered by Anthropic through their certification program. The AI Edge has applied to the Anthropic Partner Network — the affiliation that supports learners through to exam registration. Course completers will be supported in accessing the CCA exam through that affiliation as it becomes formally established.

What this means in practice: the curriculum, the artifacts, and the portfolio you build are designed to prepare you for the exam regardless. When the affiliation is in place, course completers will receive direct registration support. We're committed to building Build to Certify alongside the Anthropic ecosystem, not separate from it.