Agentic AI Protocols (MCP, A2A, ACP)

About this course

Navigating Multi-Agent Communication Protocols is an intermediate-level course designed for AI engineers and system architects who need to build sophisticated multi-agent systems where effective communication and coordination are critical. In today's AI landscape, isolated agents are obsolete—success depends on seamless collaboration between multiple intelligent agents working toward shared objectives. This course provides comprehensive coverage of three essential communication protocols: Multi-Agent Communication Protocol (MCP) for standardized communication, Agent-to-Agent (A2A) for dynamic task coordination, and Agent Collaboration Protocol (ACP) for complex workflow orchestration. Through real-world case studies from organizations like Anthropic, Google, and IBM, hands-on implementation exercises, and practical design challenges, you'll learn to strategically select and integrate these protocols to solve complex coordination problems. Whether you're building autonomous systems, enterprise AI solutions, or collaborative AI applications, this course equips you with the knowledge and skills to transform chaotic agent interactions into orchestrated, efficient collaborations that deliver measurable business value.

Course objectives

• implementing multi-agent communication strategies
• designing efficient multi-agent workflows
• enhancing collaboration between autonomous systems