Integrating External Content with Copilot Using .NET

To get the most utility out of AI-powered assistants, they need direct access to your organization's unique external data. This text-based course teaches you how to bridge that gap by building custom connectors that feed external systems into the Copilot ecosystem. You will learn how to design and implement Copilot connectors using .NET, allowing your assistant to securely access, index, and retrieve content from external databases, file shares, or custom web APIs. What you'll learn: - Understand the core architecture and security standards of Copilot connectors. - Configure custom data schemas to structure external content for optimal AI retrieval. - Build robust integration endpoints using modern .NET and asynchronous C# patterns. - Implement secure authentication flows to protect sensitive enterprise data. - Practice writing clean, maintainable connection logic using comprehensive written code walkthroughs. The course starts with essential terminology and structural concepts before guiding you through the step-by-step process of coding, testing, and registering your connector. It is designed specifically for developers looking to enter the AI integration space, requiring only a basic foundational knowledge of C# and web APIs. Start reading now to unlock the full potential of your external data within the Copilot ecosystem.