365 Copilot Extensibility: Choosing the Best Development Path

Organizations are increasingly looking to tailor AI assistants to their unique workflows. To do this effectively, developers and decision-makers must understand how to safely connect external data sources and custom logic to 365 Copilot. This text-based course guides you through the foundational concepts of Copilot extensibility, helping you evaluate your business requirements and map them to the correct technical path. What you'll learn: - Understand the foundational architecture of 365 Copilot and how it processes external data. - Compare development paths including declarative agents, API plugins, and graph connectors. - Evaluate security, privacy, and data compliance standards for AI extensibility. - Design robust API schemas and structured prompts to ensure reliable agent responses. - Analyze real-world business scenarios to select the most cost-effective and scalable integration path. The course begins with essential terminology and the core mechanics of AI extensibility, before walking you through structured decision frameworks and written design exercises. You will gain a clear roadmap for planning and designing secure, tailored AI integrations. This course is designed for beginner developers, IT professionals, and technology decision-makers. No prior experience with AI development or Copilot extensibility is required. Start reading today to confidently architect your custom AI solutions.