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Claude Certified Developer Foundations (CCDV-F) Exam Guide
Master all CCDV-F exam domains — agents, API, Claude Code, MCP, prompt engineering & more — and pass with confidence
Created byAnkit Mistry : 266,000+ Students, Ajay Gadhave
Last updated 9/2026
English
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What you'll learn
- Understand all 8 domains of the Claude Certified Developer – Foundations (CCDV-F) exam, weighted exactly as the official exam guide blueprints them.
- Build AI agents and workflows with Claude — the agent loop, context and memory, subagents, the Agent SDK, and agentic frameworks.
- Integrate Claude into real applications using the REST API, JSON, the Messages API, tools, streaming, vision, prompt caching, and batch processing.
- Operate Claude Code confidently — Rules, Skills, commands, agents, memory, the project configuration hierarchy, and headless, streaming, and auto modes.
- Select the right Claude model (Opus, Sonnet, Haiku) and balance the quality, latency, and cost trade-off for any task.
- Optimize tokens and cost with usage tracking, cost modeling, prompt caching, and a clear cost-optimization order.
- Master prompt and context engineering — prompt structure, templates, context rot, the attention budget, RAG, and just-in-time context.
- Debug Claude apps methodically — identify error types (429, 529, 400), isolate integration-layer vs. model-output problems, and choose the right recovery.
- Secure and safeguard Claude applications against prompt injection and jailbreaks using trust boundaries, guardrails, and defense in depth.
- Connect Claude to external systems with tools and MCP — the tool-use loop, the Model Context Protocol, servers, primitives, and transports.
- Sit the CCDV-F exam prepared, with every objective explained in plain English and reinforced with diagrams and examples.
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Course content
13 sections • 53 lectures • 7h 26m total length
Requirements
- No prior Claude or AI experience required — every concept is taught from the ground up in plain English.
- Basic familiarity with software development concepts is helpful but not essential (you'll understand terms like API, JSON, and code faster, but each is explained).
- No coding is required to follow the material — this is a theory and exam-preparation course; you can watch, learn, and understand without writing code.
- No paid tools or subscriptions needed to complete the course.
- A willingness to learn how modern AI applications are built with Claude is all you really need.
Description
Become a certified-ready Claude developer — one clear, beginner-friendly lesson at a time.
The Claude Certified Developer – Foundations (CCDV-F) exam covers a lot: agents, application integration, Claude Code, model selection, prompt and context engineering, debugging, security, and tools with MCP. This course turns that entire blueprint into plain-English lessons anyone can follow — no prior Claude experience needed, and no step skipped.
Every one of the exam's 8 official domains is covered in full, in the order that helps concepts build on each other. Instead of dense documentation, you get simple explanations, real-world examples, and clear diagrams for every idea — one concept at a time, so nothing feels overwhelming.
Here's what makes this course different:
It's built around the actual exam blueprint. Every domain is weighted and sequenced to match the official CCDV-F exam guide, so your study time goes exactly where the exam does.
It's genuinely beginner-friendly. Complex topics like the agent loop, context rot, prompt caching, defense in depth, and the Model Context Protocol are explained with everyday analogies and visuals — not jargon.
It's visual and structured. Each lecture opens with a clear overview and ends with key takeaways, so you always know what you're learning and what to remember.
It's practical. You'll understand not just what the concepts are, but when and why you'd use them when building real Claude applications.
By the end of this course, you'll be able to:
Explain and apply all 8 CCDV-F domains with confidence.
Build and reason about Claude agents and workflows, from the agent loop to subagents and the Agent SDK.
Integrate Claude into applications using the REST API, tools, streaming, vision, caching, and batch processing.
Work with Claude Code, model selection, and cost optimization the way real developers do.
Engineer effective prompts and context, debug apps methodically, and secure them against real threats.
Connect Claude to the outside world with tools and MCP.
What's inside:
Complete video lessons covering all 8 exam domains — Agents & Workflows, Applications & Integration, Claude Code, Eval/Testing/Debugging, Model Selection & Optimization, Prompt & Context Engineering, Security & Safety, and Tools & MCPs.
Clear, one-concept-per-slide teaching with diagrams, examples, and analogies throughout.
Overview and key-takeaway summaries in every lecture to reinforce what matters.
A structured path that takes you from your first agent to the Model Context Protocol — in a logical, confidence-building order.
Whether you're preparing to sit the CCDV-F exam or you simply want a clear, structured way to learn how modern AI applications are built with Claude, this course gives you everything you need to understand the material and study with confidence.
Enroll now and start building the Claude skills that get you exam-ready — one clear lesson at a time.
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Who this course is for:
- Aspiring and current developers preparing for the Claude Certified Developer – Foundations (CCDV-F) exam who want every objective covered clearly and in order.
- Beginners to AI development who want a structured, jargon-free introduction to building applications with Claude — with no prior experience assumed.
- Software developers, engineers, and technical professionals who want to add practical, certifiable Claude and generative-AI skills to their résumé.
- Team leads, product managers, and technical decision-makers who need a solid working understanding of how Claude apps, agents, and MCP actually work.
- Career changers and students exploring AI development who want a credential-focused path rather than scattered tutorials.
- This course is not aimed at those seeking advanced, research-level machine-learning theory or hands-on model-training — it's focused on developing and certifying practical Claude application skills.