The free, interactive study platform with 60+ scenario-based questions, hands-on project labs, and curated resources for the Foundations certification.
Five weighted domains covering everything from agentic architecture to context management — mapped directly to the exam blueprint.
Design and implement agentic systems using the Claude Agent SDK, including multi-agent coordination, lifecycle management, and programmatic enforcement patterns.
Design effective tools, implement structured error handling, configure MCP servers, and optimize tool distribution across agent architectures.
Configure Claude Code for team workflows using CLAUDE.md hierarchy, custom rules, slash commands, skills, and CI/CD integration patterns.
Apply advanced prompt engineering techniques including structured output with JSON schemas, validation-retry loops, batch processing, and multi-pass review architectures.
Manage context windows effectively, handle error propagation across multi-agent systems, implement escalation patterns, and design human review workflows.
A clear path from first study session to passing score.
Explore domain-specific content, key topics, and official Anthropic resources organized by exam weight.
Test your knowledge with 60+ scenario-based questions and get instant feedback with detailed explanations.
Build confidence with hands-on project labs and track your progress toward the 720 pass score.
Try a real exam-style question right here.
A customer support agent receives a stop_reason of 'end_turn' from Claude after processing a user query. The agent has not yet verified that the customer's issue was resolved. What should the agent do?
Go beyond theory with guided, hands-on labs that mirror real-world Claude architectures.
Build a customer support agent with MCP tools, an agentic loop, prerequisite gates, and escalation logic that handles multi-turn support conversations.
Build a coordinator-subagent architecture for parallel research execution with provenance tracking and result aggregation.
Integrate Claude Code into a GitHub Actions pipeline for automated code review with structured JSON output and multi-pass review.
Build a data extraction pipeline using JSON schemas, validation-retry loops, batch processing, and human review routing for edge cases.
Set up a complete Claude Code configuration for a development team with CLAUDE.md hierarchy, path-specific rules, skills, and MCP server configuration.
Create a fully functional MCP server that exposes tools for interacting with a REST API, including structured error handling, pagination, and server configuration for Claude Code.
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