For millions of users around the world, consistent internet isn't a guarantee. As developers, we've been trained to think "cloud-first," but this paradigm often excludes those who could benefit most from intelligent applications. How do we break free from the client-server model and deliver sophisticated AI features that work anytime, anywhere?

Enter "Gemma 3n", Google's latest generation of open, lightweight models designed for high performance on edge devices. Combined with the Google AI Edge toolkit, Gemma 3n unlocks the ability to build a new class of private, low-latency, and truly offline-first AI applications.

In this hands-on, code-driven workshop, we will roll up our sleeves and leverage Gemma 3n to build a fully functional offline AI Android app. You will learn to integrate and execute a powerful LLM directly on-device, moving beyond theory to implement practical features that function without a single network call. We'll tackle the entire development lifecycle, from model selection and integration to performance optimization, all with a focus on solving real-world problems for users in low-connectivity environments.

You will leave not just with a working demo, but with the practical knowledge to architect and build the next generation of resilient, accessible, and intelligent Android applications.