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Claude Certified Architect — Foundations

เตรียมตัวสอบ Anthropic Claude Certified Architect (Foundations) ครอบคลุมทั้ง 5 domains: Agentic Architecture, Tool Design & MCP, Claude Code, Prompt Engineering, Context Management

5 Domains 30 Lessons 20 ชั่วโมง Pass: 720/1,000
27%
18%
20%
20%
15%

About This Course

คอร์สนี้ช่วยเตรียมตัวสอบ Claude Certified Architect — Foundations ซึ่งเป็น certification จาก Anthropic ที่ทดสอบความรู้ด้านการออกแบบและ implement ระบบ AI ด้วย Claude

Who This Is For

  • Developers ที่ใช้ Claude API ในงานจริง
  • Solutions Architects ที่ออกแบบระบบ AI
  • คนที่อยากได้ certification ด้าน AI architecture

Exam Format

  • 5 Technical Domains
  • 30 Task Statements
  • Passing Score: 720/1,000
  • 150+ Practice Questions

Domain 1: Agentic Architecture & Orchestration

27%

Design and implement agentic systems using Claude's API, including loop management, orchestration patterns, guardrails, and the Claude Agent SDK

1.1 Agentic Loops 1.2 Multi-Agent Orchestration 1.3 Subagent Invocation and Context Passing 1.4 Workflow Enforcement and Handoff 1.5 Agent SDK Hooks 1.6 Task Decomposition Strategies 1.7 Session State and Resumption

Domain 2: Tool Design & MCP Integration

18%

Design effective tool schemas, implement MCP servers and clients, and integrate external services

2.1 Tool Interface Design 2.2 Structured Error Responses 2.3 Tool Distribution & Tool Choice 2.4 MCP Server Integration 2.5 Built-in Tools

Domain 3: Claude Code Configuration & Workflows

20%

Configure Claude Code for development workflows, manage settings, hooks, permissions, and integrate with CI/CD pipelines

3.1 CLAUDE.md Hierarchy, Scoping, and Modular Organisation 3.2 Custom Slash Commands and Skills 3.3 Path-Specific Rules for Conditional Convention Loading 3.4 Plan Mode vs Direct Execution 3.5 Iterative Refinement Techniques 3.6 CI/CD Integration

Domain 4: Prompt Engineering & Structured Output

20%

Craft effective prompts, implement structured output patterns, and apply prompt engineering techniques

4.1 System Prompts with Explicit Criteria 4.2 Structured Output with Tool Use 4.3 Prompt Chaining and Validation-Retry Loops 4.4 Few-Shot Prompting 4.5 Batch Processing and Prompt Optimisation 4.6 Multi-Instance Review and Output Validation

Domain 5: Context Management & Reliability

15%

Manage context windows effectively, implement caching strategies, handle long conversations, and build reliable systems

5.1 Context Window Management 5.2 Escalation and Ambiguity Resolution 5.3 Error Propagation in Multi-Agent Systems 5.4 Codebase Exploration and Context Degradation 5.5 Human Review and Confidence Calibration 5.6 Information Provenance and Multi-Source Synthesis
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