Uploaded August 2026 | Updated September 2026, 2 weeks ago

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🔥 Integrated MS+PGP Program in Data Science & AI edureka.co/dual-certification-programs/ms-data-science-pgp-gen-ai-ml-birchwood
🔥Advanced Certification in Agentic AI Engineering: edureka.co/agentic-ai-training-course

In this video, you'll learn how to build Multi-Agent AI Systems using the Model Context Protocol (MCP) and discover how modern AI applications orchestrate multiple agents to automate real-world workflows.

We'll explore agent communication, task delegation, shared memory, tool integration, and MCP-based architectures for building scalable, production-ready AI applications.

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Learn the progression from traditional models to agentic AI and how these systems operate today. Understand the practical differences between AI agents and standard generative AI.

This guide breaks down the AI evolution timeline, clarifying how we moved from simple generative tools to the complex, autonomous frameworks known as agentic AI. If you are trying to navigate the current landscape of machine learning, this session provides a clear roadmap of how these technologies are structured.

We examine the core components of agentic AI, including how they integrate with tools like the Claude API to perform live tasks. You will also see how real-time web search capabilities change how these systems gather and process information for users. This breakdown is designed for anyone needing to distinguish between basic automation and true agentic workflows.

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