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IntermediateAI · Mobile4 lessons · ~12 min read
AI for Mobile Developers: Shipping Real Features
Prompts, the Gemini API, on-device models and RAG — explained for someone who has to ship an AI feature inside an app, not write a paper.
Start the first lesson4 lessons
What you walk away with
- Decide where an LLM belongs in your app and where it does not
- Call a model from an app without leaking keys
- Stream responses so the feature feels fast
- Choose between cloud and on-device honestly
- Handle hallucination and failure in the UI
Every app now has a product manager asking for "something with AI". This track is about doing that without shipping a slow, expensive, unreliable feature.
No model training, no maths. Architecture, latency, cost, privacy and the UI patterns that make a generated answer trustworthy.