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CCDV-FCCDV-F Developer Foundations study guide
Claude Certified Developer - Foundations is Anthropic's credential for people building Claude applications, tools, agents and integrations. Anthropic lists 53 items, 120 minutes, a scaled passing score of 720 and 12-month validity. Check the official Partner Certifications page before booking. Source checked 2026-08-12.
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Apply to joinDeveloper Foundations format
| Credential | Claude Certified Developer - Foundations |
|---|---|
| Exam code | CCDV-F |
| Items | 53 |
| Time allowed | 120 minutes |
| Scaled passing score | 720 |
| Validity | 12 months |
| Official exam fee | USD 125, paid to Anthropic |
| TimoLabs access service | USD 50, separate from the official exam fee |
The public listing is the current-format source. Its public blueprint does not publish domain weights, so this guide uses no inferred percentages.
Who should use this guide
Use this route if you implement Claude inside a product or internal system. The role requires more than prompt writing. You translate a requirement into API calls, data contracts, controlled tools and an operable release.
A practical starting point is a small service written in Python or TypeScript. It should accept a request, call Claude, validate structured output and save an evaluation record. This makes every study topic concrete. Candidates comparing roles can start at Claude certification courses.
Developer study domains
Agents and workflows
Choose a fixed workflow when steps are predictable. Use an agent loop when the task needs iterative decisions. Define a stopping condition, approval boundary and state passed between steps. A loop without limits can repeat work and consume tokens.
Applications and integration
Connect the API to an actual application interface. Handle request validation, streaming where appropriate, asynchronous work, configuration, version control and deployment. Keep the model boundary clear inside the wider service.
Claude Code
Use project instructions, permissions and review habits that make coding sessions repeatable. Treat generated changes as code requiring tests and human review. Repository guidance should define relevant conventions and safe limits.
Evaluation, testing and debugging
Build a representative test set before release. Compare outputs against a stated rubric, inspect failures and record the input, model setting and result. A happy-path demonstration gives little evidence about difficult cases.
Model selection and optimisation
Choose a model and request pattern for the task. Measure quality, latency and cost together. Manage tokens and context deliberately, then use caching where it supports the intended experience.
Prompt and context engineering
Write clear instructions, provide relevant context and specify the output shape. Separate trusted instructions from untrusted content. Version prompts so an evaluation result links to a concrete implementation change.
Security and safety
Keep secrets outside prompts and repositories. Apply least privilege to data and tools. Treat prompt injection, malformed requests and unsafe actions as system-design concerns with technical controls and human escalation.
Tools and Model Context Protocol
Give each tool a narrow purpose, precise schema and useful error response. MCP can expose reusable tools and resources across clients. Its connections need authentication, permission boundaries and observable failure behaviour.
Developer readiness diagnostic
This is independent TimoLabs preparation material. It is separate from Anthropic assessment content. Use it to identify the build evidence you still need.
- Explain why a workflow or agent loop fits one user request.
- Show how your API handler rejects invalid input early.
- Write a tool schema with an approval boundary and useful error response.
- Show how tool results return safely to conversation context.
- Configure Claude Code guidance and review a generated change.
- Describe the client, server and trust boundary in an MCP connection.
- Evaluate failures using a labelled test set and stated rubric.
- Trace latency, token use and tool failures during one request.
- Protect secrets and constrain an action with least privilege.
- Choose a retry, fallback or human hand-off for a reliability failure.
Mark every item with evidence, a code link or a short architecture note. Turn weak answers into the next build task. The point is a defensible decision record, not a score.
A study sequence for developers
Map the official domains
Read Anthropic's current guide and create a domain checklist. Link each topic to a file, test or design note from your build.
Build a narrow application
Choose one task. Add a request boundary, Claude call and structured response. Begin without tools so output behaviour stays easy to inspect.
Add tools and an agent loop
Introduce one approved tool, validate arguments and log failures. Add an agent loop when the task needs iterative decisions.
Set an MCP boundary
Document the client, server, allowed resource and credential treatment. Review permissions before testing the connection.
Evaluate and operate
Create normal, ambiguous and unsafe cases. Review quality, latency, cost, observability and recovery. Then use registration when ready.
India module
India search results show interest in official certification information and preparation resources. Use Anthropic's official source as the decision point for current eligibility, format and fees. The market scan supports one shared English page, with no INR fee claim.
Choose online or test-centre arrangements only from the current official registration flow. Compare public learning resources by their scope, update date and treatment of original work. Avoid material that claims access to live exam questions.
United States module
United States results also lead with Anthropic's official learning route, followed by guides, community material and marketplaces. Start with the official source, then use community examples to practise implementation decisions. Keep a clear distinction between public explanations and protected assessment content.
For an employer-facing portfolio, show the implementation boundary, tool permissions and evaluation result. A repository with a clear README is easier to review than disconnected prompts.
Developer Foundations FAQ
Who is CCDV-F for?
CCDV-F suits developers who build or integrate Claude applications, agents, tools and workflows. It is a technical route for implementation decisions.
Is coding required for CCDV-F?
The developer track covers APIs, tools, integrations and software delivery. Practical coding work provides the clearest preparation for these decisions.
Which tools should I practise with?
Practise API requests, schema validation, logging, tests and source control. Add a scoped tool when the task needs external data or an action.
Why does MCP matter?
MCP connects AI clients with tools, resources and prompts. Study its interface, authentication and trust boundary as part of a system design.
Are the diagnostic and practice material official?
No. The diagnostic is independent TimoLabs material. It contains no official questions, dumps or reconstructed assessment content.
Where are official resources?
Use Anthropic's Partner Certifications page and confirm the current guide before registration. Use the practice route for independent preparation.
Sources and change log
- Anthropic, Partner Certifications, official public listing. Checked 2026-08-12.
- TimoLabs, certification fact table, last verified 2026-08-05.
- TimoLabs market research, India and United States split, dated 2026-08-12.
Reviewer: Poorna Reddy. Last verified: 2026-08-12.
Ready to apply
Review the official source and organise your build evidence that shows your development thinking.
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