Description
Hands-On Introduction to Model Context Protocol (MCP) course. This course is a practical, project-based guide to learning Model Context Protocol, showing developers how to connect AI applications to external tools, data sources, and services. This course provides a highly practical introduction to learning Model Context Protocol. The protocol is an open standard that enables AI applications to securely connect to external tools, databases, and services. In this course, learning is based on building real projects and avoids complex theoretical discussions. Participants learn how to build MCP servers from scratch and connect them to AI clients using the official Python SDK. The course begins by reviewing basic concepts to understand what MCP is and how it standardizes the communication between AI models and external capabilities. Next, learners prepare their development environment, implement their first MCP server using FastMCP, and connect it to real clients. During the course, concepts such as MCP servers, MCP clients, Tools, Resources, Prompts, MCP Inspector, Cursor integration, File system server, SQLite database server, REST API integration, transport protocols, Error Handling, and Logging are examined in detail. Although the course code samples are written in Python, MCP is a language-independent protocol, and the concepts presented can also be used in other languages. By the end of the course, participants will be able to build reliable servers and develop AI application capabilities.
What you will learn
- Understanding the concept of Model Context Protocol and its importance in integrating AI applications
- Building an MCP server to provide tools, resources, and prompts to AI models
- Accurate testing and troubleshooting of MCP servers using standard tools
- Working with different information transfer mechanisms and communication protocols
This course is suitable for people who:
- Developers who want to connect AI models to external tools and data sources
- Backend engineers who are building the infrastructure for AI applications
- Developers interested in understanding the communication protocols of AI tools
- All people who want to learn the Model Context Protocol standard in practice
Hands-On Introduction to Model Context Protocol (MCP) Course Details
- Publisher: Udemy
- Instructor: Lukasz Kallas
- Training level: Beginner to advanced
- Training duration: 2 hours and 53 minutes
- Number of lessons: 17
Course topics
Prerequisites for the Hands-On Introduction to Model Context Protocol (MCP) course
- Basic programming knowledge
- Familiarity with using a terminal
- Understanding of APIs and HTTP requests helpful but not required
- Cursor or another code editor such as VS Code installed
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
3.02 GB