Description
Mastering Model Context Protocol (MCP): A Practical Guide. This course is a practical guide to building robust, secure, and production-ready AI backends using the FastMCP ecosystem. The course covers all the essential steps, from setting up a minimal MCP server to developing a complete full-stack application that integrates LangGraph, FastAPI, and OAuth 2.1 security. Participants learn how to design modular and scalable systems that provide a high-quality context for large language models through modern protocols and best practices. With a focus on practical development, this course prepares individuals to build scalable MCP applications that are suitable for real-world use. Key topics include MCP fundamentals such as server setup and error handling, working with different transport methods such as SSE and stdio, and implementing advanced features such as Tools and Resources to create dynamic context pipelines. It also covers integrating LangGraph to generate intelligent responses, securing endpoints with OAuth 2.1, using FastAPI and Proxy patterns, and finally deploying a full-stack, Dockerized solution as a final project. By the end of the course, participants will have a deep understanding of MCP theory and the skills to build, secure, and deploy it in modern AI workflows.
What you will learn
- Understanding MCP architecture and JSON-RPC basics.
- Setting up and configuring a FastMCP server.
- Building MCP clients via SSE, streamable-http, and stdio.
- Using Tools, Resources, Prompts, Roots, Discovery, Sampling in MCP.
- Securing MCP endpoints with OAuth 2.1 via Auth0.
- Apply FastAPI integration patterns, service composition, Proxy, and Docker.
This course is suitable for people who:
- Beginner to intermediate level Python developers with hands-on experience in Artificial Intelligence (AI) and LLM who want to delve into the Model Context Protocol (MCP) in depth.
Course details
- Publisher: Udemy
- Instructor: Markus Lang
- Training level: Beginner to advanced
- Training duration: 2 hours and 31 minutes
- Number of lessons: 43
Course syllabus as of 2025/9
Prerequisites for the Mastering Model Context Protocol (MCP): A Practical Guide course
- Solid intermediate-level Python skills
- Hands-on experience with Large Language Models (LLMs), especially tool calling
- Fundamental software-engineering knowledge
- Basic understanding of HTTP or similar client-server protocols
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.02 GB
