Agent2Agent Protocol (A2A): AI Governance & Compliance

About this course

AI agents are no longer isolated tools. They are beginning to collaborate: calling each other, delegating tasks, and producing outcomes across organizational boundaries without a human touching every step. The A2A protocol is the open standard that makes this collaboration possible, and it is already live in version 1.0.

For anyone responsible for governance, compliance, risk, or oversight, this is not a future concern. It is a present one.

This course gives you a complete, non-technical understanding of the A2A protocol and the governance frameworks you need to control multi-agent systems responsibly. No programming required. No engineering background needed. Just clear, structured knowledge for the professionals whose job is to make sure these systems operate within defined boundaries, with full accountability.

You will start by understanding what an AI agent actually is, why isolated agents create a silo problem that custom integrations cannot solve at scale, and what A2A proposes instead. From there, you will learn how the protocol works in practice: how agents discover each other through agent cards, how tasks are created and tracked through their lifecycle, and how the principle of opacity allows agents to collaborate without exposing their internal logic.

You will develop a precise understanding of how A2A differs from MCP, the complementary protocol for connecting agents to tools, and when to use each in a real architecture. You will then put on the governance lens: identity and authentication, traceability and auditability, observability, data in transit, and the fundamental tension between operational opacity and the transparency that compliance demands.

The course covers the regulatory landscape in depth, including how the EU AI Act assigns roles and obligations in multi-agent deployments, what ISO 42001 and the NIST AI Risk Management Framework require, and how to map the accountability chain when cascading errors cross agent boundaries.

The final section is prac

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