Udemy
Agent2Agent (A2A) Protocol: How Multi Agent Systems work
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
This course contains the use of artificial intelligence.
Preparing for the Microsoft Certified AI-500 Multi-Agent AI Solutions Expert? This course gives you 360 questions in 6 full timed practice tests of 60 questions, 100 minutes each, weighted to the official domain ranges. Every question puts you in the seat of an expert practitioner facing a design trade-off in a production multi-agent system: choosing an orchestration pattern, scoping per-agent identity and tool permissions, designing memory and RAG for agents that share context, tracing and evaluating agents in Microsoft Foundry, or picking a release strategy with a safe rollback. After every question, a detailed explanation shows why the correct answer fits the stated constraint and why each other option does not.
What makes these different
Grounded in the official AI-500 study guide.
Blueprint-weighted to the official ranges for all four domains, so your practice time matches what the exam emphasizes.
Every option explained. Explanations cover the correct answer and each distractor, with Microsoft Learn references for further study.
Expert design-trade-off scenarios. Situations describe roles, such as an AI architect, a platform team, a security engineer, or an SRE at a bank or a hospital network, instead of fictional people or company names. The correct answer wins on a stated constraint such as security, cost, latency, reliability, or compliance.
Current terminology. Questions use the names in the current study guide and documentation: Microsoft Foundry, Foundry Agent Service, Microsoft Agent Framework, Model Context Protocol (MCP), Agent2Agent (A2A), Azure AI Search, Azure API Management, Microsoft Entra ID, and Azure AI Content Safety.
Multiple choice and multiple response. Each test mixes single-answer items with "Choose two" items.
What the domains cover
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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