Full Stack Data Science & AI | Mr. Prakash Senapathi - MCP for AI Agents | Model Context Protocol for AI Agents | Prakash Senapathi | Naresh IT

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7 learners

What you'll learn

This course includes

35.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

MCP Model Context Protocol MCP AI AI Agents Agentic AI Generative AI LLM LLM Agents AI Agent Framework AI Agent Architecture Context Management AI Prompt Engineering

Full Transcript

Model Context Protocol (MCP) is a foundational concept for building AI Agents and Agentic Systems. In this session, Prakash Senapathi from Naresh IT explains how MCP enables AI agents to maintain context, reason effectively, and interact intelligently across tools and workflows. In this video, you will learn: ✔ What Model Context Protocol (MCP) is ✔ Why MCP is critical for AI Agents & Agentic AI ✔ How context management improves AI reasoning ✔ MCP architecture & real-world use cases ✔ MCP’s role in LLM-based agent systems ✔ Career relevance of MCP in Generative AI & Agentic AI This session is ideal for: 🎯 AI & ML learners 🎯 Generative AI professionals 🎯 Developers building AI Agents 🎯 Anyone exploring Agentic AI & LLM systems 📌 Trainer: Prakash Senapathi 📌 Institute: Naresh IT 📌 Topic: MCP – Model Context Protocol 📌 Mode: Online Workshop 👉 Subscribe to Naresh IT for expert sessions on Generative AI, Agentic AI, LLMs, Data Science, Cloud & DevOps 👉 Like, Share & Comment to support the AI learning community. #MCP #ModelContextProtocol #AIAgents #AgenticAI #GenerativeAI #LLM #NareshIT #AIArchitecture #FutureOfAI #PrakashSenapathi