Claude Cca-F 2026: Labs, Scenarios & Exam Masterclass
Published 7/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 14h 38m | Size: 23.74 GB
Prepare with hands-on labs, real-world architecture scenarios, practice tests, and full-length mock exams.
What you'll learn
Understand the CCA-F exam domains, scenarios, terminology, question styles, and architecture decision-making approach.
Design production-ready Claude solutions using APIs, Claude Code, tools, sessions, context, and agent workflows.
Build reliable agentic loops with tool calls, stop conditions, iteration controls, validation, and error recovery.
Compare single-agent and multi-agent architectures and select the right orchestration pattern for each scenario.
Apply secure permissions, hooks, approval gates, execution controls, and human-in-the-loop safeguards.
Integrate external systems using MCP servers, clients, tools, resources, and enterprise controls.
Create production prompts with clear instructions, constraints, examples, routing rules, and uncertainty handling.
Design structured-output pipelines with JSON Schema, validation, repair, provenance, and batch extraction.
Apply scaling, caching, batching, rate-limit, observability, and production-readiness strategies.
Use Claude Code in CI/CD for automated reviews, test generation, structured results, and quality gates.
Analyze customer support, research, developer productivity, CI/CD, and data extraction scenarios.
Identify distractors, anti-patterns, hidden constraints, and high-risk failures in exam scenarios.
Use a repeatable framework to choose secure, reliable, proportionate, and maintainable architectures.
Measure exam readiness with quizzes, scenario questions, mock exams, and domain-level review.
Requirements
No prior Claude experience or Anthropic certification is required. Core concepts are explained from the beginning.
Basic knowledge of software development, APIs, cloud systems, DevOps, or AI concepts is helpful but not required.
No advanced mathematics, machine learning training, or data science experience is required.
A computer with internet access is enough for lectures, practice tests, walkthroughs, and mock exams.
Optional labs may require Python, Git, a code editor, and access to Claude or the Anthropic developer platform.
Description
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
Software developers preparing for the Claude Certified Architect - Foundations exam.
Solution architects designing secure, reliable, and production-ready Claude-powered systems.
AI engineers building agentic workflows, tool integrations, multi-agent systems, and structured-output pipelines.
Technical leads evaluating Claude architecture decisions, risks, controls, and production readiness.
DevOps and platform engineers integrating Claude Code into testing, automation, and CI/CD workflows.
Cloud architects and consultants designing Claude solutions for support, research, developer tools, and extraction.
Developers with basic generative AI knowledge who want practical Claude architecture skills.
Technology professionals seeking scenario practice, mock exams, and a structured CCA-F study plan.



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