Building AI-Powered Agent Responses in Copilot Studio

Modern conversational agents need to do more than follow rigid scripts; they must leverage generative AI to provide dynamic, accurate answers. This text-based course guides you through configuring conversational AI using Copilot Studio. You will transition from building static chatbots to deploying intelligent agents that search custom knowledge sources and generate natural, context-aware responses. By the end of this course, you will understand how to control AI behavior safely and effectively using modern prompt techniques. What you'll learn: - Understand foundational generative AI concepts and how they apply to conversational agents - Configure the generative answers node to handle unstructured user queries dynamically - Connect custom knowledge sources to ground agent responses in reliable data - Apply basic prompt engineering and custom instructions to shape the agent's tone and behavior - Select and test different models from the catalog to optimize response quality - Implement fallback strategies to gracefully handle edge cases and out-of-scope questions The course starts with key terminology and foundational AI concepts before moving into step-by-step written explanations. You will progress from basic node setup to advanced knowledge integration and prompt customization through practical written examples. This course is designed for beginners, conversational designers, and business analysts looking to build AI agents without needing deep coding experience. No prior programming or machine learning knowledge is required. Start reading today to unlock the power of generative AI in your conversational agents.