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A necessary, high-level overview for anyone putting multi-agent systems into production on Azure. It rightly focuses on observability and cost control, though it's more of a design guide than a hands-on lab.
Decision summary
4.2/5 Last verified: August 31, 2026
AI engineers and architects managing multi-agent systems in Azure.
More conceptual architecture than hands-on coding.
AI engineers and architects managing multi-agent systems in Azure.
Beginners or those not working with agentic AI or Azure.
The LLM-as-judge evaluation frameworks in Microsoft Foundry were the most useful part. It moves past simple accuracy metrics. The OpenTelemetry section, however, is very high-level. I was hoping for concrete instrumentation patterns for tracing agent-to-agent communication, not just a list of Azure Monitor features. It gives you the 'what' but not enough of the 'how' for a truly distributed system. A good architectural guide, though.
Last verified: August 31, 2026. We re-check course details periodically — see our methodology. Pricing and availability can change; always confirm on the official site.
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