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Exam Prep: Claude Certified Architect Foundations (CCAR-F)

Course 1355

  • Duration: 3 days
  • Language: English
  • Level: Intermediate

This course prepares developers to pass the CCAR-F (Claude Certified Architect — Foundations) exam and to apply what it tests in real work. Over three intensive days, learners cover every scored exam domain — from agentic architecture and orchestration through tool design, Claude Code configuration, prompt engineering, and context management — while building the practical fluency the exam expects. The emphasis is firmly practical — roughly 60% of each day is spent building — so every examinable concept is reinforced by a hands-on exercise. Time is allocated to match the exam’s own domain weightings, so no domain is over- or under-represented. Learners leave not only with working code and a clear playbook for driving productivity with Claude, but confident and ready to sit the CCAR-F.

The instructor provides fully configured lab environments for every candidate — preconfigured Anthropic API keys, all dependencies, sample data, and starter projects. Candidates need only a laptop and a browser; there is no setup for attendees.

Each day maps directly to CCAR-F exam domains, closes with exam-style checkpoint questions in the exact scenario-based, multiple-choice format used on the real exam, and the course finishes with a full mock exam and personalized readiness review.

Claude Architect Foundations Prep Course Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Claude Architect Foundations Prep Course Information

  • Course Benefits

    • Demonstrate knowledge of the Anthropic API and apply core API concepts to build and manage Claude-powered applications.
    • Apply prompt engineering techniques and context-management strategies to improve the quality, reliability, and effectiveness of Claude interactions.
    • Implement scalable context strategies using multimodal capabilities, prompt caching, and retrieval techniques to optimise AI application performance.
    • Configure and apply tool use and agentic capabilities to enable Claude to interact with external systems, perform tasks, and execute multi-step workflows.
    • Apply Model Context Protocol (MCP) and Claude Skills concepts and identify strategies for securely deploying and scaling Claude capabilities across an organisation.

    Prerequisites

    Writing basic Python and reading JSON - Using the command line and a code editor

Claude Architect Foundations Prep Course

Day 1 — Agentic Architecture & Orchestration

Exam domain 1 (27% of scored content). Build agents that decide and act — implement the agentic loop and orchestrate coordinator–subagent systems.

  • The agentic loop: stop_reason control flow, executing tools, and returning results for the next iteration
  • Model-driven decision-making vs pre-configured decision trees or fixed tool sequences
  • Hub-and-spoke coordinator–subagent orchestration with isolated context; decomposition, delegation, and result aggregation
  • Subagent spawning via the Task tool, parallel subagents and explicit context passing, sessions (--resume, fork_session), and hook-based enforcement

Exercises:

  • The Agentic Loop
  • Coordinator–Subagent Delegation with Task
  • Parallel Subagents & Context Passing
  • Build & Debug a Multi-Agent Research Pipeline

Exam checkpoint: scenario-based quiz on the agentic loop, coordinator decomposition, subagent context, and enforcement vs prompting.

Day 2 — Tools, MCP & Claude Code

Exam domains 2 (18%) and 3 (20%) — 38% combined. Design tools Claude selects reliably, wire in MCP servers, and configure Claude Code for a real team workflow.

  • Tool-interface design and diagnosing misrouting from overlapping descriptions
  • Structured MCP errors (isError, errorCategory, isRetryable) and scoping toolsets with tool_choice
  • MCP integration — project- vs user-scoped servers, env-var secrets — and built-in tools (Grep, Glob, Read/Write/Edit)
  • Claude Code configuration (CLAUDE.md hierarchy, path-specific rules, slash commands, skills) and workflows (plan mode, the Explore subagent, CI/CD)

Exercises:

  • Fix Tool Misrouting with Descriptions
  • Structured MCP Errors & Scoped tool_choice
  • Configure Claude Code for a Team Dev Workflow
  • Plan Mode vs Direct Execution

Exam checkpoint: scenario-based quiz on tool descriptions, MCP error/scoping, CLAUDE.md hierarchy, path rules, and plan mode.

Day 3 — Prompt Engineering, Structured Output, Context & Reliability

Exam domains 4 (20%) and 5 (15%) — 35% combined. Engineer precise, schema-compliant output and keep multi-step systems reliable — then sit a full mock exam.

  • Precision prompting with explicit categorical criteria and few-shot examples for consistent, actionable output
  • Guaranteed schema-compliance via tool_use; nullable fields, extensible enums, and validation–retry–feedback loops
  • Batch & multi-pass review — the Message Batches API, SLA planning, and independent review instances
  • Context management and reliability — trimming verbose output, persisting case facts, escalation triggers, error propagation, and provenance

Exercises:

  • Explicit-Criteria Prompts to Cut False Positives
  • Structured Extraction with tool_use + Validation-Retry
  • Batch Processing & SLA Planning
  • Escalation, Error Propagation & Provenance drills
Commercial Pricing

25 150 kr

  • 3-Day Live Instructor-Led Training

  • Hands-on Labs

  • After-Course Instructor Coaching Included

Would you like to take this course as a team?
  • okt 7 - 9 15:00 - 22:30 CEST
    Herndon, VA or Virtual
  • okt 21 - 23 9:00 - 16:30 CEST
    Stockholm or Virtual
  • okt 21 - 23 10:00 - 17:30 CEST
    London or Virtual
  • nov 4 - 6 15:00 - 22:30 CET
    Ottawa or Virtual
  • nov 18 - 20 9:00 - 16:30 CET
    Stockholm or Virtual
  • nov 18 - 20 10:00 - 17:30 CET
    London or Virtual
  • dec 2 - 4 15:00 - 22:30 CET
    Herndon, VA or Virtual
  • dec 16 - 18 9:00 - 16:30 CET
    Stockholm or Virtual
  • dec 16 - 18 10:00 - 17:30 CET
    London or Virtual
  • jan 13 - 15 9:00 - 16:30 CET
    Stockholm or Virtual
  • jan 13 - 15 10:00 - 17:30 CET
    London or Virtual
  • feb 10 - 12 9:00 - 16:30 CET
    Stockholm or Virtual
  • feb 10 - 12 10:00 - 17:30 CET
    London or Virtual
  • mar 10 - 12 9:00 - 16:30 CET
    Stockholm or Virtual
  • mar 10 - 12 10:00 - 17:30 CET
    London or Virtual
  • apr 7 - 9 9:00 - 16:30 CEST
    Stockholm or Virtual
  • apr 7 - 9 10:00 - 17:30 CEST
    London or Virtual
  • maj 5 - 7 9:00 - 16:30 CEST
    Stockholm or Virtual
  • maj 5 - 7 10:00 - 17:30 CEST
    London or Virtual
  • jun 2 - 4 9:00 - 16:30 CEST
    Stockholm or Virtual
  • jun 2 - 4 10:00 - 17:30 CEST
    London or Virtual
  • jun 30 - jul 2 9:00 - 16:30 CEST
    Stockholm or Virtual
  • jun 30 - jul 2 10:00 - 17:30 CEST
    London or Virtual

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Claude Architect Foundations Prep Course FAQs

This course has a full-length CCAR-F mock exam in the real scenario-based, multiple-choice format covering all five scored domains, followed by a worked-answer review and a personalised readiness scorecard highlighting any domains to revisit before sitting the real exam.

    The CCAR-F certification validates foundational skills for designing and implementing production-grade AI solutions using Claude. It focuses on areas such as agentic architecture and orchestration, Claude Code, tool design and Model Context Protocol (MCP) integration, prompt engineering, structured outputs, context management, and reliability.

    Question types: 60 questions. Multiple-choice and multiple-response

    Format: 120 minutes. Primarily scenario-based, testing the application of Claude architecture concepts to realistic situations rather than simple knowledge recall

    Scenarios: The exam reportedly presents 4 real-world scenarios, with questions organised around those scenarios

    Passing score: 720 out of 1,000 (scaled score)

    Delivery: Through Pearson VUE's Anthropic Certification Program, with online-proctored and test-center options

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