Integrating MCP and A2A to Build Modular AI Systems
As AI systems grow more complex, modular, collaborative, and context-aware architectures are essential. The Model Context Protocol (MCP) and Agent-to-Agent (A2A) frameworks provide a strong foundation for building intelligent, scalable AI ecosystems. This hands-on course will help AI practitioners, architects, and developers master MCP and A2A integration, learn security best practices, and prototype real-world multi-agent workflows through guided exercises and practical examples.
$19.99
Material Includes
Video Tutorials
Handout Notes
Codes for Practice
Certificate on Completion
What I will learn?
Understand and apply MCP and A2A frameworks to design scalable AI systems
Build context-driven agents and enable secure agent-to-agent communication
Integrate security, privacy, and governance into multi-agent AI architectures
Develop and demonstrate practical AI solutions using MCP and A2A principles
Course Curriculum
Overview of MCP and its Operational Breakdown
Understanding Model Context Protocol (MCP) in Detail
40:25
Model Context Protocol – A Standard for Interoperable and Context-Aware AI
MCP Client and Server Implementation
Hands-on Demonstration of MCP Client and Server Implementation
01:01:16
Codes for Practice
Understanding A2A and A2A with MCP
Deep Dive into A2A
15:01
Agent-to-Agent (A2A) Protocol – Enabling Seamless Communication and Collaboration Among AI Agents
A2A Server Creation and MCP Integration
Hands-on Demonstration on A2A and MCP Integration
25:47
Codes for Practice
Best Practices for Security and Governance in Agentic AI Systems
Tips on Security and Governance
05:23
Self Assessment
Quiz
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