Udemy - Agent2Agent Protocol (A2A) - AI Governance and Compliance

Category : Other
Type: Tutorials
Language: English
Total Size: 1.5 GB
Uploaded By: freecoursewb
Downloads: 47447
Last checked: Aug. 7th '26
Date uploaded: Aug. 7th '26
Seeders: 17544
Leechers: 11443
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About Udemy - Agent2Agent Protocol (A2A) - AI Governance and Compliance

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Agent2Agent Protocol (A2A): AI Governance & Compliance https://WebToolTip.com Published 7/2026 Created by Data Universe MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 33 Lectures ( 2h 46m ) | Size: 1.5 GB A2A vs MCP, agent identity, auditability, EU AI Act, ISO 42001 & NIST AI RMF. Multi-agent governance without coding What you'll learn ⚡ Understand what the A2A protocol is, why it exists, and how it enables

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Agent2Agent Protocol (A2A): AI Governance & Compliance

https://WebToolTip.com

Published 7/2026
Created by Data Universe
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 33 Lectures ( 2h 46m ) | Size: 1.5 GB

A2A vs MCP, agent identity, auditability, EU AI Act, ISO 42001 & NIST AI RMF. Multi-agent governance without coding

What you'll learn
⚡ Understand what the A2A protocol is, why it exists, and how it enables AI agents to discover and collaborate with each other.
⚡ Explain how A2A works without jargon: agent cards, tasks, messages, artifacts, interaction modes, and the opacity principle.
⚡ Distinguish clearly between A2A and MCP, understanding when to use each protocol and how they complement each other.
⚡ Identify the new governance risks that emerge when agents collaborate autonomously and delegate tasks to other agents.
⚡ Apply security controls for multi-agent systems: agent identity, authentication, data in transit, and access boundaries.
⚡ Design traceability and auditability mechanisms that reconstruct what agents did and why in multi-agent workflows.
⚡ Navigate the regulatory implications of A2A under the EU AI Act, ISO 42001, and the NIST AI Risk Management Framework.
⚡ Map accountability chains in multi-agent flows and define who is responsible when cascading errors cross agent boundaries.
⚡ Evaluate vendor A2A claims critically, write interoperable-agent usage policies, and present A2A risks to leadership.
⚡ Apply a maturity checklist to assess your organization's readiness for A2A adoption and avoid the five most common mistakes.

Requirements
❗ No programming or engineering background required — this course is designed for governance, compliance, and business professionals.
❗ Basic familiarity with AI concepts like agents or LLMs is helpful but not required — all foundational concepts are introduced clearly.
❗ All you need is a role involving AI governance, risk, compliance, or strategic oversight and a desire to lead responsibly.