Claude Certified Architect - Foundations (CCA-F) Full Prep

THE MAGNUM (4.8) OPUS OF THE CLAUDE CCA-F EXAM PREPARATION

The Claude Certified Architect - Foundations, or CCA-F, is the first professional certification focused on Anthropic's entire ecosystem and modern AI architecture.

Passing this certification will require a lot more than just knowing how to write prompts. As a candidate, you are expected to understand how production-grade Claude systems are designed, orchestrated, validated, and scaled across real-world applications.

It's about being a true Claude-based AI solution architect. More than that, a production-grade Claude-based AI solution architect.

This course was built specifically to make you into that.

Over more than 12 hours of content, you'll learn everything about the five certification domains (or, as I call them, the Five Layers), understanding how they connect together in production systems, and master the architectural principles that appear repeatedly.

Along the way, you'll have a full practice exam, role plays, Labs and quizzes to consolidate your knowledge every step of the way.

The course follows the complete CCA-F blueprint:

• Agentic Architecture & Orchestration (the Agentic Layer)

• Tool Design & MCP Integration (the Tool Layer)

• Claude Code Configuration & Workflows (the Workflow Layer)

• Prompt Engineering & Structured Output (the Prompt Layer)

• Context Management & Reliability (the Context Layer)

We'll start by covering the certification itself, including the exam structure, tested competencies, and from there, we'll progressively explore every domain in detail. We'll close out the course with a recap of the most important patterns, the common antipatterns to avoid, and 10 key takeaways that summarize the certification.

Along the way, you'll study both the best practices - and common architectural mistakes to avoid - always focusing not in isolated features, but on the true production-grade architectural thinking.

The Megalist: Everything You Will Learn in this Course

Agentic Architecture & Orchestration

• Design agentic loops and orchestration patterns

• Understand stop_reason-based workflow control

• Implement structured tool use workflows

• Coordinate multi-agent systems and specialized subagents

• Design context handoff strategies between agents

• Spawn and manage subagents using Agent SDK concepts

• Build sequential and parallel workflows

• Implement workflow safeguards using hooks

• Manage session persistence, resumption, and forking

Tool Design & MCP Integration

• Design effective tools and parameter schemas

• Write tool descriptions that improve routing accuracy

• Scope tools appropriately across agents

• Design structured error responses

• Build effective recovery and retry strategies

• Understand MCP architecture, resources, prompts, and tools

• Configure MCP environments securely

• Separate team-level and personal MCP configurations

• Apply least-privilege principles to tool access

• Master Claude Code’s built-in toolset

Claude Code Configuration & Workflows

• Configure CLAUDE .md hierarchies and precedence rules

• Build reusable skills and custom commands

• Apply path-specific rules and conditional configuration

• Use context: fork and tool restrictions effectively

• Choose between Plan Mode and Direct Execution

• Design iterative refinement workflows

• Structure collaborative development workflows

• Integrate Claude Code into CI/CD pipelines

• Generate machine-readable outputs for automation

Prompt Engineering & Structured Output

• Write prompts with explicit criteria and boundaries

• Design classification frameworks and evaluation rubrics

• Apply few-shot prompting effectively

• Create high-quality examples for difficult edge cases

• Enforce structured outputs using schemas and tool use

• Design nullable fields and ambiguity handling strategies

• Implement validation and retry loops

• Build quality-enforcement architectures

• Use the Batch API appropriately

• Design multi-pass and independent review systems

Context Management & Reliability

• Understand context windows and token economics

• Manage context across long-running workflows

• Apply fact blocks and layered memory architectures

• Mitigate lost-in-the-middle effects

• Avoid progressive summarization failures

• Design escalation and ambiguity-resolution strategies

• Propagate errors through multi-agent systems

• Build graceful degradation and recovery workflows

• Manage context across large codebases

• Use scratchpads and delegated exploration

• Design human-review systems and confidence calibration

• Preserve provenance across complex workflows

• Handle conflicting information and uncertainty responsibly

Cross-Domain Architecture Patterns

• Apply reliability patterns across all five domains

• Design memory architectures for production systems

• Build validation, recovery, and review layers

• Understand the architectural principles tested throughout the certification

• Identify and avoid the most common Claude architecture antipatterns

• Develop the architectural mindset expected of Claude Certified Architects

Whether you're actively preparing for the CCA-F, building Claude-based systems professionally, or just looking to deepen your understanding of modern AI architecture... this course will cover everything you need to learn, with a structured path from fundamentals to certification-level knowledge.

If you're ready to move beyond prompting, and towards production-grade AI solution architecture... this course was built for you.

See you on the inside!