This course contains the use of artificial intelligence.

Prepare for the Claude Certified Architect – Foundations (CCA-F) exam with a practical, architecture-focused course built around hands-on labs, production scenarios, practice questions, and full-length mock exams.

This course goes beyond memorizing terminology. You will learn how to evaluate requirements, identify the controlling constraint, recognize architecture risks, eliminate plausible distractors, and select the most proportionate Claude solution for each scenario.

Throughout the course, you will explore the core concepts tested on the CCA-F exam, including Claude APIs, Claude Code, agentic workflows, Model Context Protocol, structured outputs, context management, multi-agent systems, permissions, hooks, reliability, scaling, and CI/CD automation.

WHAT YOU WILL LEARN

You will learn how to:

Understand the CCA-F exam domains, scenarios, vocabulary, and question styles
Design reliable agentic loops with tool calls, stopping conditions, and iteration controls
Compare single-agent and multi-agent architectures
Select coordinator, specialist, delegation, and orchestration patterns
Manage sessions, context windows, compaction, recovery, and state
Configure Claude Code for large codebases and enterprise development workflows
Apply permissions, hooks, approval gates, and execution controls
Integrate external tools and systems using Model Context Protocol
Create production prompts with clear instructions, constraints, examples, and routing rules
Design structured-output pipelines using JSON Schema, validation, and repair
Prevent invented values and preserve provenance during data extraction
Handle failures, retries, partial results, and unreliable tool responses
Apply batching, caching, rate-limit handling, observability, and scaling strategies
Use Claude Code in automated testing, code review, and CI/CD pipelines
Identify anti-patterns and misleading answers in architecture questions
Apply a repeatable decision framework to scenario-based exam questions

HANDS-ON LEARNING

The course includes practical labs that help you connect exam concepts to real implementation patterns.

You will work with architecture patterns involving:

Claude API applications
Agentic loops and tool execution
Multi-agent orchestration
Session and context management
Claude Code enterprise configuration
Permission and safety controls
Model Context Protocol integrations
Structured-data extraction pipelines
Customer-support resolution agents
Multi-agent research systems
Developer productivity tools
Claude Code in CI/CD workflows

Each lab and architecture walkthrough is designed to reinforce the reasoning skills required for the exam.

SCENARIO-BASED EXAM PREPARATION

The CCA-F exam focuses heavily on architecture decisions. This course prepares you to analyze scenarios involving:

Customer-support resolution
Multi-agent research
Developer productivity
CI/CD automation
Structured-data extraction
Production reliability and scaling

You will learn how to identify the real goal, determine the highest-risk failure, evaluate competing designs, and choose the safest and most maintainable architecture.

PRACTICE TESTS AND MOCK EXAMS

The course includes:

Section-level practice tests
Scenario-based architecture questions
Single-answer and multiple-select questions
Detailed answer explanations
Domain-level review guidance
Two full-length mock exams
A final weak-area review and readiness checklist

The mock exams are designed to help you practice under exam-style conditions, evaluate your readiness, and identify topics that require additional review.

WHO THIS COURSE IS FOR

This course is suitable for:

Software developers preparing for the CCA-F exam
Solution and cloud architects designing Claude-powered systems
AI engineers building agents, tools, and multi-agent workflows
Technical leads evaluating production AI architectures
DevOps and platform engineers using Claude Code in CI/CD
Consultants working on enterprise generative AI solutions
Developers seeking practical Claude architecture skills

PREREQUISITES

No previous Claude certification or advanced machine-learning experience is required.

Basic familiarity with software development, APIs, cloud architecture, DevOps, or generative AI concepts is helpful, but the course explains the required Claude architecture concepts step by step.

Optional hands-on labs may require Python, Git, a code editor, and access to Claude or the Anthropic developer platform.

START YOUR CCA-F PREPARATION

By the end of this course, you will have a structured understanding of the CCA-F exam objectives, practical experience with Claude architecture patterns, and a repeatable strategy for answering complex scenario-based questions.

Enroll and begin preparing with hands-on labs, real-world scenarios, focused practice tests, and full-length exam simulations.

This course is independently created and is not affiliated with, sponsored by, or endorsed by Anthropic.