Building AI Agents with Copilot Studio and Dataverse for Teams

Modern organizations need quick, reliable access to internal data, but searching through disparate sources slows teams down. Building custom AI agents directly within your communication hub solves this by delivering instant, automated answers. This written course guides you through designing and building intelligent conversational assistants using Copilot Studio and Dataverse for Teams. You will learn to transform how your team accesses information, turning static data tables into interactive, conversational knowledge bases. What you'll learn: - Understand the core concepts of conversational AI, including topics, triggers, and entities - Configure secure, structured data storage using Dataverse for Teams - Design seamless conversation flows that guide users to the exact information they need - Apply modern prompt engineering principles to make your agent's responses clear and context-aware - Test and deploy your agent directly within your team's workspace for immediate use - Practice troubleshooting and refining conversational paths through written scenario-based exercises The course begins with foundational terminology and the basic architecture of conversational agents. You will then progress step-by-step through setting up data tables, structuring dialog nodes, and publishing your completed agent. This course is designed for beginners, business analysts, and team leaders who want to automate workflows, with no prior coding or database experience required. Start reading today to build your first intelligent workspace assistant.