Claude Certified Architect Foundations CCA-F Video Course

The Claude Certified Architect – Foundations (CCA-F) certification is the definitive credential for professionals building production-grade AI agent systems with Claude. This certification validates a practitioner’s ability to design, configure, and troubleshoot agentic architectures that use the Claude API and Claude Code, covering agentic loop orchestration, tool design and MCP integration, Claude Code configuration and workflows, prompt engineering and structured output, and context management and reliability. As organizations rapidly adopt AI agents for mission-critical automation, the demand for architects who can build reliable, well-structured Claude-powered systems continues to grow.

This video training course provides a structured and comprehensive path to mastering the CCA-F exam objectives, covering both foundational concepts and advanced, real-world agentic design patterns. The course focuses on how Claude’s native capabilities, the Messages API, tool use, the Model Context Protocol (MCP), and Claude Code are used together to build agents that reason correctly, select the right tools, manage context efficiently, and fail gracefully in production environments.

Throughout the course, learners gain deep conceptual knowledge of agentic system design, including the agentic loop and stop_reason branching, hub-and-spoke multi-agent coordination, task tools and parallel execution, programmatic hooks, tool description best practices, MCP server configuration, CLAUDE.md hierarchies, agent skills, prompt engineering with match criteria and few-shot examples, JSON Schema for structured output, context window management, escalation triggers, and error handling patterns. The training emphasizes architectural decision-making, diagnosing common failure modes, and applying configuration best practices aligned with Anthropic’s recommended patterns.

This course contains the following sections:

• The Agentic Loop – Covers the core execution cycle of a Claude-powered agent: what the agentic loop is, how to branch on tool_use, how to append tool results to conversation history, and how to continue the loop correctly. Includes common mistakes like skipping history and ending the loop too early.
• Hub-and-Spoke Model – Explains multi-agent coordination using a central coordinator that decomposes tasks, invokes subagents, passes context, aggregates results, and handles errors. Clarifies why subagents have no memory of the coordinator and how to diagnose incomplete output.
• Task Tool & Parallel Execution – Introduces the Task tool, why coordinators need it in allowedTools, how to run subagents in parallel versus sequentially, and the stakes-proportionate rule for choosing execution strategies.
• Programmatic Control & Hooks – Covers programmatic gates, tool call interception hooks, post-tool-use hooks, and why prompts alone cannot guarantee correctness in agentic systems.
• Tool Descriptions – Explores why tool descriptions drive model selection, what vague descriptions look like, how to diagnose tool misselection, how to write complete descriptions, and why the “vs similar tools” disambiguation clause matters most.
• Error Handling Patterns – Walks through handling transient, validation, business logic, and permission failures. Explains the critical distinction between access failures and valid empty results, and how to design distinguishable error responses.
• MCP Configuration – Covers project-level versus user-level MCP config and how to diagnose missing MCP server access.
• Tool Scoping & Agent Roles – Explains why too many tools hurt selection accuracy, how many tools each agent should have, and how to scope tools to specific agent roles.
• CLAUDE.md Hierarchy – Introduces the three-tier CLAUDE.md configuration system (project, directory, and user level), what belongs at each level, and how to diagnose ignored team conventions.
• Agent Skills – Compares CLAUDE.md and agent skills, explains where universal standards versus task-specific workflows belong, covers how skills are created and loaded, and discusses advanced skill configuration and scaling.
• Path-Specific Rules & context: fork – Explains what context: fork is, when to use it, how path-specific rules differ from directory-level CLAUDE.md files, and their impact on the token budget.
• CLI Flags & CI/CD – Covers the -p flag and how to run Claude Code in CI/CD pipelines for automated agentic workflows.
• Match Criteria & Few-Shot Examples – Explains why vague confidence thresholds fail, how to write explicit match criteria, how to define non-matches and edge cases, when to use few-shot examples, how many to include, and why examples must show reasoning rather than just answers.
• JSON Schema & Structured Output – Covers how tool_use with JSON Schema prevents syntax errors, why schemas don’t prevent fabricated data, the empty-field fabrication problem with required fields, and how to use optional, nullable, and enum fields effectively.
• API Selection & Cost vs Latency – Discusses when to use the synchronous API versus the Batch API and how to make the right tradeoff between cost and latency.
• Context Window Management – Addresses how progressive summarization loses detail, what case-facts blocks are, the lost-in-the-middle problem, how to place key findings at the top of context, how structured tags improve reliability, and why trimming verbose tool results is essential.
• Escalation Triggers – Defines valid escalation triggers (direct human requests, authority gaps, verification flags) versus invalid ones (frustration alone, complexity alone), and covers when to escalate immediately without investigating.
• Error Context & Common Mistakes – Covers structured error context in multi-agent systems, why alternative approaches matter most, and common mistakes like waiting until retries are exhausted or marking empty results as successful.
• Full Practice Test – A timed, full-length exam simulation with detailed explanations and references for every question, helping you gauge readiness and identify areas for improvement.

All lectures include professionally created subtitles to enhance understanding.

Claude Certified Architect Foundations CCA-F Resources

For complete preparation, it is recommended to pair this video course with the Claude Certified Architect – Foundations Practice Exams to simulate the actual exam environment and thoroughly cover all five domains.

To learn more about our video courses in the Tutorials Dojo portal, visit our FAQ page here.

Instructors:

Franchesca Asignacion, Karen Pearl Pabilando, and the Tutorials Dojo Team