This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact AWS Training and Certification Customer Support.
This course teaches you how to implement standardized communication protocols for AI agents using Amazon Bedrock AgentCore. You will learn the Model Context Protocol (MCP) for universal AI-to-tool integration and the Agent2Agent (A2A) protocol for inter-agent collaboration.
Starting with the evolution from LLMs to agentic AI systems, the course examines why custom tool integrations do not scale (the N×M problem) and how MCP reduces integration complexity to N+M. You will explore MCP’s architecture, primitives, and transport mechanisms, then progress to A2A’s Agent Card discovery, task lifecycle, and multi-turn collaboration patterns.
The course culminates with hands-on implementation: building a Strands agent, containerizing it for AgentCore Runtime, exposing tools via MCP, enabling agent-to-agent discovery via A2A, and deploying a multi-agent orchestration system on AWS.
