AI doesn’t always need the cloud. With today’s powerful on-device models, you can build smart applications that run offline, ensuring speed, privacy, and reliability even without an internet connection. In this session, we’ll explore how to integrate offline AI capabilities into your .NET MAUI apps. You’ll learn how to embed lightweight machine learning models, process text, vision, or speech locally, and optimize them for mobile and desktop platforms. We’ll walk through practical demos showing scenarios like offline text summarization, image recognition, and personal assistants—all running directly on the device. By the end, you’ll understand the tools, techniques, and trade-offs of running AI offline, and you’ll leave with the skills to design apps that are both intelligent and resilient, even when connectivity isn’t guaranteed.