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Reviewed references used by the curriculum. Links open in a new tab.
Official certification details, including exam coverage, cost, registration, policies, and the exam guide.
The official blueprint for this course. It lists the five domains, their weights, and all 30 task statements. If this app disagrees with the guide, follow the guide.
The rules for taking the exam, including what you may share afterward. Read them before exam day.
Anthropic’s courses on the main concepts behind the exam. They assume less background knowledge than the exam questions.
Claude API guides for messages, tool use, streaming, prompt caching, and model selection. Domain 3 uses these docs often.
Claude Code documentation for hooks, subagents, skills, settings, and terminal workflows used in the scenario questions.
Model Context Protocol documentation for connecting AI applications to tools and data. Start with the architecture pages before building a server.
Runnable examples for tool use and other Claude patterns. Use them to practice building the concepts you read about.
Starter applications you can run and change. They are useful if you have little production experience.
A short introduction to orchestrators, subagents, tools, failure handling, and choosing the simplest design that works. Covers Domains 1, 2, and 5.
Claude Code guidance on permissions, planning, context, testing, and deployment. Check current commands and settings in the documentation. Covers Domains 3 and 5.
A hands-on workshop covering agent loops, agents versus workflows, Bash, file tools, context, and verification. Covers Domains 1 and 5.
An overview of MCP prompts, resources, tools, and capability discovery. It predates the current specification, so check transport, authorization, and lifecycle details in the current docs. Covers Domain 2.
A short guide to choosing agent use cases, tools, context, and memory. Covers Domains 1 and 5.
Covers task definitions, success criteria, prompt improvement, and reasoning. Because it is the oldest video here, use current documentation for structured output and evaluation. Covers Domain 4.
A blueprint walkthrough with examples of the Agent SDK, Claude Code, MCP, agent loops, and multi-agent coordination. It was published before the move to Pearson VUE, so confirm registration details in the official guide.