Enterprise Generative AI Systems on Microsoft Azure

About this course

This course contains the use of artificial intelligence.

Build the skills to design, secure, scale, monitor, and govern modern enterprise Generative AI systems on Microsoft Azure.

This comprehensive course, Enterprise Generative AI Systems on Microsoft Azure, teaches you how to create production-ready Generative AI applications, Retrieval-Augmented Generation systems, enterprise copilots, intelligent assistants, and agentic AI workflows using Microsoft Azure services. Rather than focusing on isolated tools, the course shows you how every component fits together within a complete enterprise architecture.

You will begin by exploring the full Azure Generative AI architecture, including users, applications, enterprise data sources, APIs, compute services, orchestration frameworks, foundation models, retrieval systems, security controls, monitoring, and governance. You will trace a request from the user interface through the application layer, enterprise data, Azure AI Search, Azure OpenAI Service, guardrails, and response delivery.

A major focus of the course is building accurate and reliable RAG applications on Azure. You will learn how to connect structured, semi-structured, and unstructured data from Azure SQL Database, Azure Cosmos DB, Azure Blob Storage, Azure Data Lake, SharePoint, OneDrive, internal APIs, and on-premises systems. You will design ingestion pipelines with Azure Data Factory, process documents using Azure AI Document Intelligence, compare chunking strategies, generate embeddings, and build vector, keyword, hybrid, and semantic search solutions.

The course also covers AI orchestration and autonomous agents. You will explore Microsoft Semantic Kernel, LangChain, and AutoGen while le

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