Complete FastMCP AI Agents Masterclass - update to V3

About this course

This course is a complete, hands-on guide to mastering FastMCP and building production-ready AI systems with the Model Context Protocol.

FastMCP is quickly becoming one of the most important frameworks in modern AI development. It allows you to build AI tools, servers, and agents that work seamlessly with models like Claude and other LLM clients, with structured outputs, middleware, sampling, authentication, and full control over context and state.

In this course, you’ll go from zero to advanced FastMCP step by step.

You won’t just learn concepts, you’ll build real systems. Every section is designed to be practical, incremental, and reusable in real projects. By the end of the course, you’ll understand not just how FastMCP works, but why it’s designed the way it is, and how to use it confidently in production.

What you’ll learn

• Install and run FastMCP on Mac and Windows
• Build FastMCP servers and clients from scratch
• Work with Claude Desktop and real MCP clients
• Create powerful tools with decorators, schemas, and structured outputs
• Handle errors, validation, and client-side behavior correctly
• Build and manage resources (static, dynamic, templates)
• Design reusable prompts with typed arguments and return values
• Master context, state, elicitation, logging, and progress reporting
• Use built-in middleware (logging, caching, rate limiting, timing, injection, error handling)
• Build custom middleware with hooks, request/response modification, filtering, and metadata
• Implement sampling, tool use, structured output, multi-turn conversations, and fallbacks
• Work with background tasks, dependencies, lifespan, pagination, and storage backends

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.