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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
  • Level
    Expert
  • Duration
    5 hours
  • Last Updated
    May 13, 2025
  • Certificate
    Certificate of completion

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

Understanding A2A and A2A with MCP

A2A Server Creation and MCP Integration

Best Practices for Security and Governance in Agentic AI Systems

Self Assessment

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