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.