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Claude Certified Architect Foundations (CCA-F) Exam Prep

Name: Claude Certified Architect Foundations (CCA-F) Exam Prep
Rating: 5.0 (1 reviews)

Complete CCA-F certification prep: all 5 domains + Practise Test, Practical Implementation Examples and Cheat Sheet

New

Created byEdcorner Learning

Last updated 7/2026

English

What you'll learn

Recognize common exam scenario clues and select the correct Claude architecture, workflow, control, or implementation pattern.
Learn through practical implementation examples in every lecture, including realistic business scenarios and ready code.
Recognize common exam scenario clues and select the correct Claude architecture, workflow, control, or implementation pattern.
Complete one practice test to review all modules, identify weak areas, and build confidence for scenario-based certification questions.
Prepare more effectively for the Claude Certified Architect Foundations exam through simple explanations and exam-focused learning patterns.
Design agentic loops that plan, use tools, validate results, and stop safely.
Build multi-agent systems using coordinator and subagent patterns.
Configure subagent context, task handoffs, session resumption, and workflow branching.
Design clear tools and MCP integrations for APIs, data sources, and business systems.
Handle tool errors, retries, permission boundaries, and safe escalation paths.
Use Claude Code effectively with CLAUDE md, skills, slash commands, path-specific rules, plan mode, and CI/CD workflows.
Write precise prompts using explicit criteria and few-shot examples.
Enforce structured JSON output and validate results with retry and feedback loops.
Design efficient batch-processing and multi-pass review workflows.
Manage long conversation context and explore large codebases without losing critical information.
Build human-review workflows, confidence-calibration systems, and escalation patterns.
Preserve source evidence, information provenance, and uncertainty in multi-source synthesis.
Understand the five major certification domains: Orchestration, Tools and MCP, Claude Code, Prompting, and Context Management.
Use the course cheat sheet for fast revision of important concepts, commands, architecture patterns, and exam memory rules.

Course content

8 sections • 62 lectures • 5h 11m total length

Introduction9:47

Design and implement agentic loops for autonomous task execution3:11
Practical Implementation Example - agentic loops for autonomous task execution3:31
Orchestrate multi-agent systems with coordinator-subagent patterns3:21
Practical Implementation Example - Orchestrate multi-agent systems4:46
Configure subagent invocation, context passing, and spawning3:06
Practical Implementation Example - Configure subagent4:33
Implement multi-step workflows with enforcement and handoff patterns3:14
Practical Implementation Example - Implement multi-step workflows4:20
Apply Agent SDK hooks for tool call interception and data normalization3:15
Practical Implementation Example - Apply Agent SDK hooks4:40
Design task decomposition strategies for complex workflows3:13
Practical Implementation Example - Design task decomposition strategies4:34
Manage session state, resumption, and forking3:05
Practical Implementation Example - Manage session state, resumption, and forking3:18

Design effective tool interfaces with clear descriptions and boundaries3:36
Practical Implementation Example - Design effective tool interfaces7:29
Implement structured error responses for MCP tools3:15
Practical Implementation Example- Implement structured error responses for MCP6:00
Distribute tools appropriately across agents and configure tool choice2:55
Practical Implementation Example- Distribute tools appropriately across agents4:56
Integrate MCP servers into Claude Code and agent workflows3:29
Practical Implementation Example- Integrate MCP servers into Claude Code4:51
Select and apply built-in tools (Read, Write, Edit, Bash, Grep, Glob) effectivel3:25
Practical Implementation Example- Select and apply built-in tools5:15

Configure CLAUDE.md files with appropriate hierarchy, scoping, and modular org3:49
Practical Implementation Example- Configure CLAUDE.md files7:17
Create and configure custom slash commands and skills3:07
Practical Implementation Example- Create and configure custom slash commands6:53
Apply path-specific rules for conditional convention loading3:25
Practical Implementation Example- Apply path-specific rules6:38
Determine when to use plan mode vs direct execution3:18
Practical Implementation Example- Plan mode vs direct execution5:42
Apply iterative refinement techniques for progressive improvement3:58
Practical Implementation Example- Apply iterative refinement techniques6:43
Integrate Claude Code into CI/CD pipelines3:54
Practical Implementation Example- Integrate Claude Code into CI/CD pipelines6:56

Design prompts with explicit criteria to improve precision and reduce false posi4:10
Practical Implementation Example- Design prompts with explicit criteria7:58
Apply few-shot prompting to improve output consistency and quality3:41
Practical Implementation Example- Apply few-shot prompting7:25
Enforce structured output using tool use and JSON schemas3:19
Practical Implementation Example- Enforce structured output5:29
Implement validation, retry, and feedback loops for extraction quality2:48
Practical Implementation Example- Implement validation, retry, and feedback8:09
Design efficient batch processing strategies3:21
Practical Implementation Example- Design efficient batch processing strategies9:04
Design multi-instance and multi-pass review architectures3:21
Practical Implementation Example- Design multi-instance and multi-pass review9:06

Manage conversation context to preserve critical information across long interac3:26
Practical Implementation Example- Manage conversation context8:22
Design effective escalation and ambiguity resolution patterns2:59
Practical Implementation Example- Design effective escalation and ambiguity6:10
Implement error propagation strategies across multi-agent systems3:22
Practical Implementation Example- Implement error propagation strategies10:20
Manage context effectively in large codebase exploration3:31
Practical Implementation Example- Manage context effectively in large codebase8:45
Design human review workflows and confidence calibration3:08
Practical Implementation Example- Design human review workflows8:44
Preserve information provenance and handle uncertainty in multi-source synthesis3:32
Practical Implementation Example- Preserve information provenance9:58

Requirements

Basic familiarity with computers, software applications, and online tools.
Interest in AI agents, Claude, automation, prompting, or software development.

Description

This course contains the use of artificial intelligence. Prepare confidently for the Claude Certified Architect Foundations exam with this practical, certification-focused course.

This course is designed to help you understand the core concepts tested in the Claude Certified Architect certification and apply them to real technical and business scenarios. Instead of only memorizing terms, you will learn how to identify the requirement in a scenario, recognize the risk or challenge, and choose the correct Claude architecture, workflow, control, or implementation pattern.

The course is organized around the five main areas of the Claude certification:

1. Orchestration
Learn how to design agentic loops, multi-agent systems, coordinator-subagent workflows, task decomposition, workflow handoffs, hooks, session state, resumption, and forking.

2. Tools and MCP
Learn how to design clear tool interfaces, handle tool errors safely, configure tool choice, connect MCP servers, and use built-in Claude Code tools such as Read, Write, Edit, Bash, Grep, and Glob effectively.

3. Claude Code
Learn how to configure CLAUDE md files, create skills and slash commands, apply path-specific rules, choose between plan mode and direct execution, improve workflows through iteration, and integrate Claude Code into CI/CD pipelines.

4. Prompting
Learn how to create precise prompts with clear criteria, use few-shot examples, enforce structured JSON output, build validation and retry loops, process large workloads efficiently, and design multi-instance review systems.

5. Context, Reliability, and Human Control
Learn how to manage long conversation context, resolve ambiguity, propagate errors across multi-agent systems, explore large codebases efficiently, design human-review workflows, calibrate confidence, preserve source provenance, and handle uncertainty safely.

Every lecture includes a simple explanation, clear on-screen learning points, instructor-style narration, and a practical implementation example. These examples use realistic business scenarios and copy-ready code so you can understand how the concept works in a real Claude-powered system.

You will learn how to design systems that can use tools, coordinate agents, validate outputs, preserve important context, handle failures, work with evidence, and escalate high-risk decisions to humans when needed.

This course will help you prepare for scenario-based certification questions involving topics such as:

Autonomous task execution and agentic loops
Coordinator and subagent architecture
MCP tools and external system integration
Claude Code configuration and repository workflows
Prompt precision and structured output
Validation, retry, and review patterns
Batch processing and multi-agent reliability
Context management and large codebase exploration
Human approval, confidence calibration, provenance, and uncertainty

The course also includes one practice test to help you review all five modules, identify areas that need more revision, and build confidence before attempting the Claude Certified Architect Foundations exam.

By the end of the course, you will be able to understand certification scenarios more clearly and choose the correct architecture approach for reliable, safe, and practical Claude systems.

Who this course is for:

Aspiring Claude Certified Architect Foundations candidates who want structured exam preparation.
AI developers, solution architects, software engineers, and technical professionals building Claude-powered workflows.
Learners who want to understand agentic AI, multi-agent systems, MCP, tools, Claude Code, prompting, context management, and human-review patterns.
Professionals who need to design reliable AI workflows for customer support, document processing, software engineering, internal tools, research, or business automation.
Claude Code users who want to work more effectively with repositories, project instructions, skills, plan mode, and CI/CD workflows.
Learners who want simple explanations, exam-focused memory rules, a cheat sheet, practical implementation examples, and a practice test.
Developers who want practical examples and ready code instead of only theory.

Claude Certified Architect Foundations (CCA-F) Exam Prep

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 10min

Orchestration14 lectures • 52min

Tools and MCP10 lectures • 45min

Claude Code12 lectures • 1hr 2min

Prompting12 lectures • 1hr 8min

Context and Human Control12 lectures • 1hr 12min

Practise Test - Scenario Based Q&A, Claude Certified Architect — Foundations0

Claude Certified Architect — Foundations Cheat Sheet1 lecture • 3min

Requirements

Description

Who this course is for: