Course Overview
This course prepares learners to pass Anthropic’s Claude Certified Architect Foundations (CCA-F) exam by covering agentic systems, Claude Code configuration, prompt engineering, tool design, and context management through six real production scenarios. It emphasizes architectural judgment over memorization, providing detailed explanations and exam-style questions.
Key Takeaways
- Design agentic systems on Claude including loops, stop_reason lifecycle, and tool use.
- Select appropriate single-agent or multi-agent architectures and orchestration patterns.
- Configure Claude Code with project memory files, rules, commands, skills, plan mode, and CI/CD workflows.
- Design tools and JSON schemas that produce reliable structured output without hallucinations.
- Balance cost, latency, and reliability when choosing models, context strategies, and orchestration.
Prerequisites
- Several months of hands-on experience building with Claude or a comparable large language model.
- Comfort with reading JSON and calling REST APIs; no specific programming language required.
Target Learners
Developers, solutions architects preparing for the CCA-F exam, and engineering leads standardizing Claude-based development within their teams.
Welcome What the CCA-F Exam Actually Tests. 6:33
The Claude Stack API Agent SDK Claude Code and MCP 6:14
The Agentic Loop and stop_reason 4:24
Single Agent vs. Multi-Agent and the Constraints Behind Every Answer 5:46
Lab: Build an Agent with the Claude Agent SDK 0:03
Agentic Architecture Designing the Loop 4:34
Task Decomposition 3:13
Multi-Agent Topologies 3:59
Subagents Spawning and Delegation 3:07
Context Passing Partial Failure and Session State 6:08
Escalation Human Handoff and Putting It Together 5:23
Lab: Pick the Architecture 0:03
Configuring Claude Code with CLAUDE.md 5:02
Rules Commands and Skills 6:46
Plan Mode Iteration and Code Generation 4:24
Claude Code in CI CD Batch and Automation 6:41
Lab: Configure Claude Code 0:03
Prompt Engineering Precise Prompting 5:57
Structured Output Validation and Retry 5:47
Processing at Scale and Multi-Pass Review 4:32
Prompt Engineering Scenario and Wrap 3:18
Lab: Build a Data-Extraction Pipeline 0:03
Tool Design What Makes a Good Tool 6:05
Built-in Tools and MCP Server Design 6:11
API Tools vs. MCP Servers 4:39
Lab: Design an MCP Server 0:03
Context Management 4:57
Reliability 3:29
The Six Scenarios End-to-End 4:40
Exam Strategy and Course Wrap 5:33
Lab: Keep Context Reliable 0:03
Bonus: Free Practice Test Resources 0:05
Access Files No pi required.
Free Course files 1 file package
- Full Pack
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