Claude Certified Developer Foundations (CCDV-F) - Exam Prep

Master all 8 CCDV-F domains - Agents, Workflow, MCP, Security, Optimization, Application, Claude Code, Eval & Testing

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About This Course

<p>This is a COMPLETE <span>Claude Certified Developer (CCDV-F) Exam preparation</span> course, you NEED to become a competent and certified Claude developer by mastering all the 8 domains.<br><br>Whether you're a beginner or a working professional looking to upskill, this course will guide step by step with a hands-on, practical, and engaging lectures (doodle illustrations).<br><br>GAIN STRONG HANDS-ON WITH:</p><ul><li><p><span>Agents and Workflows:</span> Design Claude agents with confidence. Learn when to use a workflow versus an agent, how manager/supervisor hierarchies and subagents work, how to build with the Claude Agent SDK, custom agent loops, and hooks, and how frameworks like LangGraph and PydanticAI compare.</p></li><li><p><span>Applications and Integration:</span> Build production Claude applications from requirements to deployment. Master the Claude API (messages, tools, streaming, vision, extended thinking, caching, and batch processing), plus REST APIs, JSON, async programming, version control, and configuration with CLAUDE_md, settings_json, and model version pinning.</p></li><li><p><span>Claude Code:</span> Work fluently in Claude Code. Use rules, skills, commands, agents, and agent memory, manage sessions, run headless and streaming modes, and configure the CLAUDE_md hierarchy and settings_json.</p></li><li><p><span>Debugging and Error Handling:</span> Troubleshoot Claude applications systematically. Identify error types, choose recovery strategies, analyze traces to find failure modes, and determine whether a problem lies in the integration layer or the model’s output.</p></li><li><p><span>Model Selection and Optimization:</span> Choose the right model and control costs. Understand tokens, context windows, sampling, and non-determinism, weigh Opus, Sonnet, and Haiku against quality, latency, and cost, use effort levels and adaptive thinking, and apply token budgeting and prompt caching.</p></li><li><p><span>Prompt and Context Engineering: </span>Write prompts that hold up in production. Apply few-shot examples, system versus user placement, and iterative refinement, manage context windows and prevent drift with compaction and subagent isolation, and handle structured output with defensive parsing.</p></li><li><p><span>Security and Safety:</span> Build applications that resist attack. Defend against prompt injection and jailbreaks, handle untrusted input and PII, layer guardrails, apply least privilege, use hooks to block destructive actions, and manage secrets and API keys across environments.</p></li><li><p><span>Tools and MCPs:</span> Extend Claude with tools and integrations. Implement tool use and function calling with clear descriptions and error handling, build and deploy MCP servers with tools, resources, and prompts, and choose between built-in tools, custom tools, Skills, and MCPs.<br></p></li></ul><p>WHAT MAKES THIS COURSE UNIQUE?</p><ul><li><p><span>Super Engaging Lectures</span> - No boring theory here! I explain every concept in a clear and beginner-friendly way using real-life examples and doodle visuals.</p></li><li><p><span>Deep Dive into Every Topic</span> - I don’t just scratch the surface. You'll understand the “why” and “how” behind every feature.</p></li><li><p><span>Strong Hands-On Focus</span> - You learn by doing. Each chapter includes so many practical labs to solidify your understanding and build real-world skills.</p><p><br></p></li></ul><p>DISCLAIMER - This course is independently created and not affiliated with or endorsed by Anthropic. All content is original, designed for educational purposes only, and does not include real certification exam questions. It is based on public documentation, real-world scenarios, and personal experience. All trademarks belong to their respective owners. For the most accurate and updated information, refer to the official Anthropic documentation.</p>

What you'll learn:

  • Understand AI agent architecture, workflows vs. agents, manager-supervisor hierarchies, subagents, and multi-step task execution
  • Build custom tools and MCP servers, integrate external systems, manage secrets and permissions, and choose between built-in tools, Skills, custom tools, and MCP
  • Master Claude API integration, Messages API, tool use, streaming, vision, extended thinking, prompt caching, and Batch API
  • Implement structured outputs, schema validation, defensive parsing, error handling, output verification, and reliable response processing
  • Explore agentic design patterns, tool-use loops, memory management, context-window optimization, Strands, LangGraph, and PydanticAI
  • Apply software engineering fundamentals, REST APIs, JSON, asynchronous programming, Git, code reviews, SDLC, and code refactoring
  • Design Claude Applications across Claude Code features, Rules, Skills, slash commands, custom agents, agent memory, session management and headless mode
  • Understand LLM fundamentals, tokens, context windows, sampling, non-determinism, zero-shot, one-shot, few-shot prompting, and thinking modes
  • Compare Claude Opus, Sonnet, and Haiku for quality, latency, cost, adaptive thinking; optimize API costs with token budgeting, usage tracking, prompt caching
  • Translate business requirements into functional and infrastructure requirements, understand solution architecture, and master the systems development lifecycle
  • Master prompt engineering, context engineering, instruction hierarchy, few-shot examples, context compaction, context isolation, and context drift prevention
  • Configure Claude projects using CLAUDE_md, settings_json, model version pinning, prompt versioning, and plugin dependency management
  • Learn debugging and error handling for Claude applications, including trace analysis, failure recovery, error classification, and root cause isolation
  • Deploy Claude agents using the Claude Agent SDK, custom agent loops, agent harnesses, self-hosted vs. Anthropic-hosted deployments, and deterministic hooks
  • Master Claude AI security, prompt injection defense, jailbreak mitigation, PII protection, authentication, authorization, secrets management, and safety hooks