Udemy - Agent2Agent Protocol (A2A) - AI Governance and Compliance
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1.5 GB
- Uploaded Byfreecoursewb
- Downloads76
- Last checkedAug. 08th '26
- Date uploadedAug. 07th '26
- Seeders 6
- Leechers8
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.
Files:
[ WebToolTip.com ] Udemy - Agent2Agent Protocol (A2A) - AI Governance and Compliance- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Why A2A Exists (Foundations)
- 1. What an AI agent actually is (and why it changes the risk picture).mp4 (32.4 MB)
- 2. The silo problem agents that don't understand each other.mp4 (30.4 MB)
- 3. What A2A is, and who is behind it.mp4 (39.1 MB)
- 01-send-message-request.json (0.6 KB)
- 02-task-created-response.json (0.3 KB)
- 03-get-task-request.json (0.1 KB)
- 04-task-completed-response.json (0.8 KB)
- 05-streaming-event-stream.txt (1.3 KB)
- 06-push-notification-config-request.json (0.3 KB)
- 07-webhook-notification-payload.json (0.2 KB)
- 4. The core idea a common language for agents.mp4 (53.1 MB)
- 5. Agent Cards and discovery how agents publish who they are and find each other.mp4 (46.3 MB)
- 6. Tasks, messages, and artifacts the lifecycle of a collaboration.mp4 (53.6 MB)
- 7. Interaction modes direct reply, streaming, and asynchronous.mp4 (43.5 MB)
- 8. The principle of opacity collaborating without showing your internals.mp4 (47.9 MB)
- 9. A2A Under the Hood.html (7.9 KB)
- 9. T1_A2A_Under_the_Hood_1.pdf (80.3 KB)
- README.txt (1.7 KB)
- agent-card.json (1.9 KB)
- 10. A quick refresher what MCP is and what it's for.mp4 (53.8 MB)
- 11. Agent-to-agent vs agent-to-tool the key distinction.mp4 (43.9 MB)
- 12. How they complement each other in a real architecture.mp4 (45.9 MB)
- 13. Decision tree A2A, MCP, or both.mp4 (39.2 MB)
- 14. A2A vs MCP The Wire Format Side by Side.html (7.7 KB)
- 14. T2_A2A_vs_MCP_Wire_Format.pdf (62.7 KB)
- README.txt (1.4 KB)
- a2a-01-skill-from-agent-card.json (0.3 KB)
- a2a-02-send-message-request.json (0.6 KB)
- a2a-03-task-working-response.json (0.3 KB)
- a2a-04-task-input-required.json (0.4 KB)
- mcp-01-tools-list-response.json (0.5 KB)
- mcp-02-tools-call-request.json (0.3 KB)
- mcp-03-tools-call-response.json (0.3 KB)
- 01-security-block-from-agent-card.json (0.4 KB)
- 02-token-request.txt (0.2 KB)
- 03-token-response.json (0.3 KB)
- 04-decoded-token-payload.json (0.1 KB)
- 05-authenticated-request.txt (0.5 KB)
- 06-401-unauthorized-response.txt (0.1 KB)
- 07-task-auth-required.json (0.4 KB)
- 15. Why multi-agent raises the risk.mp4 (59.6 MB)
- 16. Agent identity and authentication.mp4 (60.7 MB)
- 17. Traceability and auditability of interactions.mp4 (56.2 MB)
- 18. Observability seeing what agents do when they collaborate.mp4 (56.6 MB)
- 19. Data in transit what crosses between agents, and who is accountable.mp4 (57.1 MB)
- 20. The key tension opacity vs required transparency.mp4 (45.4 MB)
- 21. Agent Identity & Authentication Worked Example.html (8.7 KB)
- 21. T3_Agent_Identity_Authentication.pdf (68.2 KB)
- README.txt (1.2 KB)
- 22. A2A under the EU AI Act roles and obligations.mp4 (62.4 MB)
- 23. A2A and ISO 42001 management system controls.mp4 (70.1 MB)
- 24. A2A and the NIST AI RMF Govern, Map, Measure, Manage.mp4 (61.8 MB)
- 25. The accountability chain in multi-agent flows.mp4 (53.6 MB)
- 26. Emerging risks cascading errors and third-party agents.mp4 (50.8 MB)
- 27. Is your organization ready A maturity checklist.mp4 (43.3 MB)
- 28. Questions to ask a vendor selling A2A agents.mp4 (50.8 MB)
- 29. How to write an interoperable-agents usage policy.mp4 (51.4 MB)
- 30. An end-to-end guided case applying everything to one realistic flow.mp4 (61.3 MB)
- 31. How to present A2A to leadership risks, controls, and the decision.mp4 (47.5 MB)
- 32. Where the protocol is going, and your roadmap to evaluate A2A.mp4 (36.7 MB)
- 33. The five mistakes organizations make with multi-agent adoption.mp4 (44.5 MB)
- Bonus Resources.txt (0.1 KB)
Code:
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