Agentic AI systems only work when LLMs, tools, and data can communicate seamlessly.

In this live session, we’ll break down how the Model Context Protocol (MCP) acts as a universal language layer between LLMs, tools, and data sources, making true agentic AI possible. Whether you're building autonomous workflows or just trying to understand how AI agents go from text chatbots to real-world execution, this webinar will give you a grounded, technical, yet accessible look at how MCP brings structure and interoperability to the AI ecosystem.

We’ll walk through real-world architecture, practical examples, and a live demo of MCP in action.

You’ll learn:

What the Model Context Protocol (MCP) is, and how it works
Why agents need structured context to function reliably
How MCP helps LLMs and tools “speak the same language”
How MCP fits into the broader agentic AI stack (planner, memory, tools, execution)
What real-world implementations of MCP look like, with a live demo
What the future of standardized AI orchestration might hold

Speaker Name: Ramkumar Manoharan

Speaker Title: Co-Founder, TensorLearners

Speaker Bio: Ramkumar Manoharan is the co-founder of an AI-focused startup that advises enterprise teams on building intelligent, agent-based systems using cutting-edge tools and frameworks. With over 16 years of experience in artificial intelligence, data science, and large-scale automation, he has led AI strategy and implementation at global companies including Infosys and Anheuser-Busch InBev, where he helped establish their Data Science Center of Excellence.

Ramkumar has been deeply engaged in applied AI education through his work at Udacity since 2020. As a mentor and curriculum contributor, he has reviewed more than 6,500 AI and data science projects, ensuring that learning content reflects real-world advances in tools, architecture, and agentic workflows. He holds a degree from IIT Madras and an MBA in Business Analytics and Operations.

With hands-on experience designing multi-agent systems and deep familiarity with the Model Context Protocol (MCP), Ramkumar brings both strategic insight and technical depth to this session.

Registration Link: https://www.udacity.com/webinar/model-context-protocol-explained

How Agentic AI Works: Model Context Protocol Explained (With Live Demo)