Creating and Deploying AI Agents with Copilot Studio

Organizations are increasingly adopting conversational AI to streamline workflows and support users, but building these systems often feels out of reach. This text-based course guides you through the entire process of building intelligent conversational agents from scratch using Copilot Studio. You will transition from understanding basic chatbot mechanics to designing, testing, and deploying responsive AI agents. Through clear written explanations, step-by-step logic walkthroughs, and practical configuration scenarios, you will learn how to connect your agents to data sources and deploy them to real-world channels. What you'll learn: Understand the core architecture of conversational AI agents and how Copilot Studio structures topics and triggers; Design logical conversation paths, variables, and conditional branching to handle complex user queries; Configure generative answers and retrieval-augmented generation to ground your agent's responses in specific documents; Integrate external APIs and connectors to allow your agent to fetch real-time data; Apply safety guardrails and prompt instructions to ensure reliable, professional agent behavior; Publish and maintain your agent across multiple digital channels while monitoring performance metrics. The course begins with foundational terminology and interface navigation before moving into logic building, external data integration, and publishing. You will work through written design exercises and structural examples to solidify your skills. This course is designed for beginners, business analysts, and aspiring developers with no prior coding or AI experience. Start reading today to build and deploy your first AI agent.