Anthropic Has a Certification for Claude Architects. Here’s the Full Curriculum
You can’t take the exam. You can learn everything it covers
Anthropic quietly built a certification called the Claude Certified Architect.
It covers Claude Code, the Agent SDK, the API, and MCP. It tests whether you can build production-grade AI applications that hold up when real work hits them.
One catch: the exam is locked behind official Anthropic partner status.
But the certificate is just a badge. The knowledge is the asset.
I went through the full exam guide, pulled everything that matters, and rebuilt it into something you can use today. Five domains. Five copy-paste prompts. Five build projects.
No partner status required.
The gap between people who build AI demos and people who ship AI products is almost always the same thing: production architecture. This is the guide that closes it.
What this covers
The exam splits into 5 domains.
Here’s how Anthropic weights each one, and why each weight makes sense:
1. Agentic Architecture — 27% The biggest domain because it breaks the most things in production. Loops, orchestration, hooks, guardrails.
2. Claude Code Configuration — 20% The most configuration-heavy domain. Either you know where the files go or you don’t.
3. Prompt Engineering & Structured Output — 20% Where the exam gets tricky. Wrong answers sound like good engineering.
4. Tool Design & MCP Integration — 18% Overlooked by almost everyone. Tool descriptions are more important than most people realize.
5. Context & Reliability — 15% Smallest weighting. But failures here cascade into every other domain.
One concept per domain worth knowing today
This is the full playbook
Here’s exactly what’s inside the full article:
Domain 1 complete breakdown — the agentic loop mechanics, hub-and-spoke orchestration, task decomposition, hooks vs prompts decision framework, and session resumption. With the copy-paste Claude prompt that teaches all of it interactively.
Domain 2 complete breakdown — tool interface design, structured error responses across all four error categories, MCP server configuration, and the Grep vs Glob distinction that trips everyone up.
Domain 3 complete breakdown — the full CLAUDE.md hierarchy, path-specific rules with glob patterns, plan mode vs direct execution, and the exact
-pflag that makes CI/CD work.Domain 4 complete breakdown — few-shot construction patterns, tool_use JSON schema design for required and nullable fields, validation-retry loops, and the batch vs synchronous decision tree.
Domain 5 complete breakdown — the three valid escalation triggers (and the two unreliable ones the exam will test you on), structured error propagation, and provenance tracking across multi-agent synthesis.
5 copy-paste master prompts — one per domain, paste directly into Claude, get taken from zero to production-ready on every concept, with practice scenarios and a build exercise at the end of each one.
5 build projects — one per domain, each designed so you learn the concepts by building rather than reading.
And that’s just this issue.
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10 Claude Cowork Workflows That Actually Work — 100k views, the most-read issue in the newsletter’s history
The Prompting Trick That Makes AI Think Before It Writes — the technique behind the outputs that feel genuinely thoughtful
Claude Can Now Do SEO Like a $10,000/Month Agency — the full workflow, stress-tested across every major SEO use case
How Serious Builders Co-Work With Claude — the mental model shift that changes how you use it
How to Build AI Agents: Complete Guide 2026 — steps, prompts, costs, frameworks, and 6 copy-paste system prompts
Claude in Excel: 30 Prompts to Audit Any Financial Model — for founders, VCs, and operators
The Only AI Tools Worth Paying For in 2026 — the honest list
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let’s get into it!!
Domain 1: Agentic Architecture (27%)
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