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

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Udemy - Agent2Agent Protocol (A2A) - AI Governance and Compliance (Size: 1.5 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~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 - How A2A Works (without the jargon)
  01-send-message-request.json 614.4 B
  02-task-created-response.json 307.2 B
  03-get-task-request.json 102.4 B
  04-task-completed-response.json 819.2 B
  05-streaming-event-stream.txt 1.3 KB
  06-push-notification-config-request.json 307.2 B
  07-webhook-notification-payload.json 204.8 B
  3 - A2A vs MCP
  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
  4 - Governing Agent-to-Agent Communication (the core)
  01-security-block-from-agent-card.json 409.6 B
  02-token-request.txt 204.8 B
  03-token-response.json 307.2 B
  04-decoded-token-payload.json 102.4 B
  05-authenticated-request.txt 512 B
  06-401-unauthorized-response.txt 102.4 B
  07-task-auth-required.json 409.6 B
  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
  5 - A2A and the Compliance Frameworks
  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
  6 - Enterprise Adoption
  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
  7 - Closing
  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
  README.txt 1.2 KB
  README.txt 1.4 KB
  a2a-01-skill-from-agent-card.json 307.2 B
  a2a-02-send-message-request.json 614.4 B
  a2a-03-task-working-response.json 307.2 B
  a2a-04-task-input-required.json 409.6 B
  mcp-01-tools-list-response.json 512 B
  mcp-02-tools-call-request.json 307.2 B
  mcp-03-tools-call-response.json 307.2 B
  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
  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

Description


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.