MCP Explained | Connect AI Models to Real-World Tools!

This beginner-friendly live session is designed to help students understand how AI models connect with external tools, data, and applications using MCP (Model Context Protocol). The session will cover MCP fundamentals, its architecture, key components, and simple real-world use cases. Who Should Attend: Students interested in Artificial Intelligence Beginners curious about how AI connects with external tools Students interested in AI models and applications Developers who want to understand MCP Anyone looking to learn how AI interacts with real-world tools and data What You Will Learn / See: What is MCP (Model Context Protocol)? Why AI models need MCP to connect with external tools and data MCP architecture and key components Simple real-world use cases and examples How MCP works in practice Tools & Concepts Covered: Model Context Protocol (MCP) MCP architecture External tools and data AI model interactions Participation Benefits: Understand the fundamentals of MCP Learn how AI models connect with external tools and data Understand MCP architecture and key components Explore simple real-world use cases Participation certificate Guidelines for Participants: Stay till the end for maximum learning Questions can be asked during the session towards the end Ensure your email ID is entered correctly during registration Join the session on time for the complete learning experience How to Claim Your Participation Certificate: Attend the live webinar Complete the post-session quiz shared after the session Submit the required details through the post-session form Registered participants who successfully complete the quiz will be eligible for the E-Certificate Ensure the email ID used for the submission matches your registered details Note: Certificate eligibility is based on successful completion of the post-session quiz.