コース

Claude プラットフォームの基礎から各試験ドメインまでを体系的に学ぶ6つのコース。

無料

Claude Platform Foundations

Start here. Learn how the Claude Messages API actually works — roles, tool_use, streaming, prompt caching, token counting, and the Message Batches API — then where Claude excels and fails, and how to run your first Claude Code session.

3 モジュール · 10 レッスン
試験パス
ドメイン 1 · 27%

Agentic Architecture & Orchestration

Design reliable agentic systems on Claude: master the agentic loop and stop_reason, decide when the model should drive control flow versus when to hard-code it, compose multi-agent topologies with isolated subagent context, configure agents and tool scopes with the Agent SDK, and manage sessions, decomposition, and human-in-the-loop escalation.

4 モジュール · 12 レッスン
試験パス
ドメイン 2 · 18%

Tool Design & MCP Integration

Design tools Claude can select reliably, return structured errors, and integrate the Model Context Protocol end to end — from .mcp.json configuration and transports to Grep→Read→trace investigation with built-in tools.

3 モジュール · 8 レッスン
試験パス
ドメイン 3 · 20%

Claude Code Configuration & Workflows

Configure and operate Claude Code like an architect: the CLAUDE.md memory hierarchy and @path imports, path-scoped .claude/rules/, custom slash commands vs Skills, plan mode and permission models, and headless CI/CD runs with structured output, /compact, /memory, and the Explore subagent.

3 モジュール · 9 レッスン
試験パス
ドメイン 4 · 20%

Prompt Engineering & Structured Output

Write prompts Claude can act on reliably and produce machine-validatable output. Master explicit criteria, few-shot examples, chain-of-thought, and system/role prompts; then guarantee structured output with tool_use + JSON Schema, build validation-retry loops, and scale review with multi-pass instances and the Message Batches API.

3 モジュール · 8 レッスン
試験パス
ドメイン 5 · 15%

Context Management & Reliability

Keep long-running Claude systems reliable. Engineer the context window against lost-in-the-middle and lossy summarization, propagate structured errors instead of swallowing them, annotate coverage and provenance, persist state across context boundaries, and optimize token budgets with prompt caching and stratified human review.

3 モジュール · 8 レッスン