Planning and Building AI Agents with Copilot Studio

Organizations are rapidly adopting AI assistants to streamline operations, but building an effective agent requires careful planning and structured design. This text-based course guides you through the process of conceptualizing, structuring, and launching your first AI agent. You will transition from understanding basic conversational AI concepts to successfully mapping out and configuring functional agents that solve real-world problems. By learning how to connect data sources and structure conversation paths, you will gain the skills needed to automate repetitive tasks and improve user experiences. What you'll learn: Understand core agentic concepts, terminology, and conversational design principles; Plan the architecture and user journeys for your first AI agent; Configure topics, triggers, and entities within Copilot Studio; Integrate external data sources and Power Platform workflows to extend agent capabilities; Apply basic prompt engineering techniques to refine agent responses and behavior; Deploy and test your agent safely within a sandbox environment. The course begins with foundational definitions of AI agents and conversational flows. You will then progress through step-by-step written guides covering design planning, platform configuration, and integration strategies. This course is designed for business professionals, low-code developers, and beginners who want to build custom AI assistants without deep programming knowledge. No prior coding experience or technical background is required. Start reading today to plan and build your first intelligent AI agent.