Claude Developer Certification: Complete Exam Prep Course

About this course

This course contains the use of artificial intelligence. Learn to build reliable, production-ready applications with Claude, from your first API call to agents, Claude Code workflows and MCP integrations your whole team can use. Most AI tutorials stop at a working demo. This course is about what happens next: the prompt that quietly degrades, the stream that corrupts conversation history, the agent that edits a production file, the API key that ends up in your repository. Every concept is taught with animated diagrams and a calm, step-by-step narration, and every module includes real failure case studies so you learn not only how things work, but why they break and how to fix them. What's inside Module 1: Foundations. Tokens, context windows, sampling and non-determinism; choosing a model and reasoning mode; zero-shot versus few-shot prompting; SDKs, REST, streaming and batch. Module 2: Production prompting, agents and tool use. System prompts, XML structure and structured outputs; extended thinking; tool schemas and the tool-use loop; streaming without corrupting state; context engineering and prompt caching; agent construction, human review gates and memory; images, PDFs and the Message Batches API. Module 3: Claude Code, MCP and enterprise integration. Permission modes and settings; project memory files, rules files, hooks and subagents; packaging skills and plugins; building and scoping MCP servers; OAuth, secrets management and security review. Module 4: Production engineering, evals and security. Evals and calibrated LLM-as-judge; unit, integration and end-to-end tests with tracing; failure handling, retries and backoff; model selection; cost control and multi-agent orchestration; least privilege and prompt-injection defence. Module 5: Accelerators, contribution and deployment. Packaging reusable accelerators; contribu

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