Agentic AI with Model Context Protocol Training

This comprehensive Agentic AI with Model Context Protocol Training course builds foundational skills in AI connectivity, interoperability, and Agentic AI systems using MCP. Learn how hosts, clients, servers, and communication layers connect AI applications with external tools, data sources, and services. Explore MCP architecture, function calling, session management, Google A2A, Python SDK implementation, and risk management through practical examples. Build secure, connected, and scalable AI applications powered by Model Context Protocol. By the end of this course, you will be able to: - Understand MCP Foundations: Explore AI connectivity and interoperability - Analyze MCP Architecture: Understand hosts, clients, and servers - Implement Function Calling: Connect AI with external tools and services - Manage MCP Sessions: Control communication lifecycles and connections - Explore Communication Protocols: Compare MCP and Google A2A - Implement MCP with Python SDKs: Build connected AI applications - Analyze MCP Risks: Understand security and operational considerations - Build Agentic AI Solutions: Create scalable AI systems Ideal for beginners, aspiring AI professionals, students, developers, and technology enthusiasts looking to build connected and scalable Agentic AI systems using Model Context Protocol.