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CCDV-FFree

CCDV-F — Claude Certified Developer (Foundations)

Exam code: CCDV-F
Audience: AI engineers and software developers who build, integrate, and ship Claude-powered applications, agents, and workflows. One to five years engineering experience; at least six months hands-on with Claude or comparable LLM systems; Python and/or TypeScript; REST APIs and CLI fluency.
Format: 53 items · 120 minutes · Multiple-choice and multiple-response
Pass mark: 720 / 1000
Fee: $125 USD · Validity: 12 months

Domain Map (25 lessons)

Domain Weight Lessons Focus
1. Agents and Workflows 14.7% 3 Agent architecture, construction with Agent SDK, patterns & frameworks
2. Applications and Integration 33.1% 6 Claude API mechanics, software engineering foundations, application design, config management
3. Claude Code 3.1% 1 Core components, CLAUDE.md hierarchy, settings.json
4. Eval, Testing, and Debugging 2.6% 1 Error identification, recovery, trace analysis, problem isolation
5. Model Selection and Optimisation 16.8% 4 LLM fundamentals, model trade-offs, cost and token management
6. Prompt and Context Engineering 11.0% 3 Context engineering, prompt engineering, output handling
7. Security and Safety 8.1% 4 AI application security, guardrails, hooks, identity & secrets
8. Tools and MCPs 10.6% 3 Tool implementation, MCP server development, agentic customisation

On Skillmarked: 25 free lessons and 26 practice questions, with each domain's questions at the end of its lessons.

Exam reality: Expect a large share of questions on correct use of the Messages API, tool-use message flow, cost-aware model selection, and secure handling of keys and tool permissions.

Study the domains

Each domain ends with practice questions on what you just read.

  1. Domain 1: Agents & workflows

    3 practice questions at the end · free

  2. Domain 2: Applications & integration

    5 practice questions at the end · Pro

  3. Domain 3: Claude Code

    2 practice questions at the end · Pro

  4. Domain 4: Eval, testing & debugging

    2 practice questions at the end · Pro

  5. Domain 5: Model selection & optimisation

    4 practice questions at the end · Pro

  6. Domain 6: Prompt & context engineering

    3 practice questions at the end · Pro

  7. Domain 7: Security & safety

    4 practice questions at the end · Pro

  8. Domain 8: Tools & MCPs

    3 practice questions at the end · Pro