Build AI Agents using MCP

Get hands-on designing secure, intelligent AI agent workflows using the Model Context Protocol (MCP) in this labs-driven course. You’ll see how AI systems connect to external tools, services, and data sources. You’ll learn how those connections can be designed to stay safe and predictable using structured permissions, user prompts, and validation workflows. And in hands-on labs, you’ll build agents that reason, retrieve information, and carry out tasks while maintaining security and control. Yo

• Explain MCP architecture, components, and use cases
• Build and run MCP servers with configured tools and resources
• Develop MCP clients for structured, context-aware interactions
• Implement secure MCP workflows with permission-based approvals