Agentic AI on Microsoft Azure

This course teaches engineers how to design, reason about, and implement agentic AI systems on Microsoft Azure, using Azure OpenAI Service as a managed model access layer and LangChain as an example tool orchestration layer; the architectural patterns discussed also apply to alternatives such as Semantic Kernel. The first three days establish the architectural foundations of agentic systems, including planning, tool use, memory, orchestration, reliability, and governance. These concepts are mapped to Azure execution primitives without tying architectural authority to any single framework or product. Azure OpenAI Service is used for model access and inference management; the course does not focus on Azure-specific agent frameworks or Copilot extensibility models. The fourth day is a hands-on build day, where participants implement a production-shaped agentic workflow on Azure, focusing on tool wiring, memory choices, failure handling, and deployment shape rather than framework internals. By the end of the course, participants will be able to design and build agentic workflows that are realistic, operable, and aligned with Azure operational constraints.

Review this course online at https://www.alta3.com/courses/ai-azure-agent