Step into the future of AI development with this hands-on course on the Model Context Protocol (MCP), a powerful architecture for designing intelligent, context-aware agents. You'll unpack the limitations of traditional LLMs and unlock the potential of modular, scalable AI systems. Learn how MCP defines clear roles, structures agent behavior, and streamlines real-world deployment. By the end, you'll be equipped to engineer AI agents that that can reason, adapt, and scale.
The hands-on portion walks you through building a complete MCP-enabled application. You’ll create the MCP server and client, and extend the project by adding features such as prompt integration and resource management. Practical exercises are designed to help you apply each concept immediately.
The course concludes by connecting theory to practice, showing how the skills you have developed can be used to develop robust, production-ready AI solutions.
Step into the future of AI development with this hands-on course on the Model Context Protocol (MCP), a powerful architecture fo...Show More
WHAT YOU'LL LEARN
An understanding of the concepts from standalone LLMs to agentic AI applications, and where MCP fits in
Familiarity with the core concepts, roles (host, client, server), and architecture behind MCP
Hands-on experience building your own MCP server and client, and integrating features like prompts and resource management
An understanding of how MCP enables modular, reusable, and scalable AI solutions
An understanding of the concepts from standalone LLMs to agentic AI applications, and where MCP fits in
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Content
2.
Introduction to MCP
3 Lessons
Explore the core understanding and architecture of Model Context Protocol.
3.
Building an Application with MCP
4 Lessons
Explore the development of an MCP server and client for enhanced AI interactions.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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