Grounding AI Agents with Copilot Studio and Azure AI Search

Modern AI agents are only as good as the data they can access. To prevent hallucinations and provide truly helpful answers, agents must be grounded in your organization's secure enterprise knowledge. This text-based course teaches you how to build and configure intelligent agents in Copilot Studio that retrieve accurate, real-time information. You will master the fundamentals of Retrieval-Augmented Generation (RAG) by integrating external data sources, vector indexes, and secure APIs directly into your conversational workflows. What you'll learn: - Understand foundational grounding concepts and Retrieval-Augmented Generation (RAG) patterns. - Distinguish between real-time data retrieval and index-based search strategies. - Configure Azure AI Search vector indexes to enable semantic and keyword search. - Connect Power Platform and Copilot connectors to ingest enterprise data sources. - Implement secure authentication flows to protect sensitive organizational knowledge. - Publish and test grounded agents to ensure reliable, context-aware user interactions. The course begins with key terminology, exploring how grounding improves AI reliability and accuracy. You will then progress through clear, step-by-step written guides on configuring Azure AI Search, mapping connectors, and securing data access. This course is designed for beginners, IT professionals, and low-code developers, with no prior experience in AI search infrastructure or agent development required. Start reading today to transform static bots into secure, knowledge-empowered enterprise agents.