Mastering Model Context Protocol (MCP)

Model Context Protocol (MCP) is trending as a must-know protocol for working with LLMs and tools. MCP was introduced in November 2024, and since then, it’s become the standard of most large LLM players, including OpenAI and Google, as well as many other enterprises. An ideal fit for data scientists, AI engineers, and ML engineers, this course covers the essential challenges of tool integration with LLMs, customizing settings, verifying server operation, and implementing security best practices. Along the way, instructor Jonathan Fernandes outlines key considerations such as resource registration, server configuration, debugging interactions, and using Docker for containerization.

Learning objectives
Explore the workflow for integrating tools with LLMs.
Implement approaches to verifying server operation, both locally and remote.
Implement security best practices.
Containerize applications with Docker.