Linkedin – Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A) 2025-8
Linkedin – Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A) 2025-8 Downloadly IRSpace
Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A), This course introduces you to the Model Context Protocol (MCP) and Agent2Agent (A2A) communication frameworks essential for designing context-aware, collaborative AI agents. Explore MCP architectures, tools, and implementations, and learn how to build AI applications and agents that leverage rich contextual understanding. Additionally, instructor Kumaran Ponnambalam dives into A2A’s structure, workflow, and practical applications, helping you gain hands-on experience with multi-agent ecosystems. Check out this course to gain the practical knowledge to design, implement, and execute intelligent, interconnected AI agents in real-world scenarios.
What you’ll learn
- Introduction to Model Context Protocol
- A Simple MCP App
- HR Policy Agent with MCP
- HR Timeoff Agent with MCP
- Introduction to Agent2Agent Protocol
- Build a Multi-Agent HR App with A2A
Specificatoin of Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A)
- Publisher : Linkedin
- Teacher : Kumaran Ponnambalam
- Language : English
- Level : All Levels
- Number of Course : 32
- Duration : 1 hours and 40 minutes
Content of Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A)

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