Agentic Solutions Patterns for Azure

Autonomous agents don't just answer questions, they plan, call tools, and take action without a human checkpoint at every step.
Autonomous agents don't just answer questions, they plan, call tools, and take action without a human checkpoint at every step. In this course, Agentic Solutions Patterns for Azure, you'll gain the ability to architect and defend an autonomous agent solution on Azure. First, you'll explore how to derive an agent workload's risk surface, permission scope, blast radius, runtime cost, and state recovery, and determine which constraint actually binds your design. Next, you'll discover how to resolve agent identity, hosting, tool-brokering, orchestration, and memory into Azure's agent-runtime, identity, and data services. Finally, you'll learn how to structure and defend that architecture in a design review, anticipating the hard questions on risk, cost, and compliance, and defending your trade-offs honestly rather than overclaiming. When you're finished with this course, you'll have the skills and knowledge of agentic architecture on Azure needed to design, bound, and confidently defend an autonomous agent solution.
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