Claude Developer Certification Complete Exam Prep Course

Full exam prep: 103 lectures, 19 practice quizzes and hands-on labs on prompts, tools, agents, Claude Code and MCP
What you'll learn

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Explain how Claude processes tokens, context and sampling, and why identical prompts can return different answers
Choose the right Claude model, reasoning mode and prompting technique for a task, balancing quality, latency and cost
Write production prompts with system prompts, XML structure, few-shot examples and structured JSON outputs
Design tool schemas Claude selects reliably and implement a correct tool-use loop, including parallel tool calls
Stream responses safely and recover from interrupted streams without corrupting conversation history
Keep long sessions within budget using context engineering techniques and prompt caching
Build agents with human approval gates and the right memory pattern for state across sessions
Process images and PDFs, and run high-volume jobs with the Message Batches API
Configure Claude Code safely with permission modes, settings, project memory, hooks and subagents
Package workflows as skills and plugins, and build, scope and secure MCP servers for a team
Requirements

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Basic programming experience in any language (examples use Python and JSON)
Familiarity with calling a REST API and reading JSON responses
No prior experience with Claude or large language models is required
Description

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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; contributing work back; extracting requirements; the systems lifecycle; choosing a deployment platform and pinning model versions; trust boundaries.
How you'll learn
Short, focused video lectures with animated diagrams that build up as each idea is explained.
Case studies that walk through a real production failure, its root cause and the fix.
Hands-on exercises in a predict-then-reveal format.
19 practice quizzes with detailed feedback on every answer.
Module recaps and glossaries for quick review.
By the end, you'll be able to design prompts, tools and agents that hold up under real traffic, and configure Claude Code and MCP servers safely for a team, and ship them with evals, security controls and the right deployment platform.
This is an independent course. It is not affiliated with, sponsored by or endorsed by Anthropic. Claude and Claude Code are trademarks of Anthropic.
Who this course is for

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Software developers who want to build reliable applications and agents on the Claude API
Engineers adopting Claude Code and MCP for their team's development workflow
Technical leads and architects responsible for taking AI features from prototype to production
Developers who already use AI assistants and want a structured, engineering-focused foundation
Homepage

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