Master Agentic AI communication via MCP

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Master Agentic AI communication via MCP

Hosted by Mahesh Yadav

1,098 students

What you'll learn

Challenges in shipping agentic AI products

Why most AI agents struggle with coordination and decision-making.

Model Context Silos

How missing context leads to unreliable AI behaviors.

Model Context Protocol (MCP)

The structured approach to improving AI communication.

Demo of MCP in action

See how MCP enables seamless multi-agent collaboration.

Why this topic matters

AI agents are only as powerful as their ability to communicate effectively. Yet, most fail due to fragmented context handling and lack of structured communication protocols. If you're building AI-driven products, mastering Model Context Protocol (MCP) is a game-changer.

You'll learn from

Mahesh Yadav

Gen AI product lead at Google, Former at Meta AI, AWS AI l 10k+ AI PM Students

Mahesh has 20 years of experience in building products at Meta, Microsoft and AWS AI teams. Mahesh has worked in all layers of the AI stack from AI chips to LLM and has a deep understanding of how using AI agents companies ship value to customers. His work on AI has been featured in the Nvidia GTC conference, Microsoft Build, and Meta blogs.

His mentorship has helped various students in building Real time products & Career in Agentic AI PM space.

Previously at