Build Android Apps
Powered by AI
Learn to integrate Gemini, ML Kit, and on-device AI into production Android apps. Practical guides by a Google Developer Expert — no fluff, just working code.
Take an Android mock interview with voice AI
We've added a live interview room powered by Agora Conversational AI. Pick a track, speak your answers out loud, get follow-up questions, and ask for feedback whenever you want.
Learning Tracks
Four focused paths from zero to shipping AI features in production Android apps.
Gemini API for Android
Integrate Google's most capable AI model into your Android app. Text generation, multimodal inputs, function calling, and streaming responses with Kotlin.
- Gemini SDK setup in Android
- Text & image prompting with Kotlin
- Streaming responses with Flow
- Function calling & tool use
- On-device vs cloud inference
On-Device AI with ML Kit
Add smart features to your app without any server. Face detection, text recognition, barcode scanning, smart reply, and language detection — all offline.
- Text Recognition v2
- Face Detection & Mesh
- Object Detection & Tracking
- Smart Reply in chat apps
- Translation & language ID
TFLite & MediaPipe
Run custom machine learning models directly on Android. Convert, optimize and deploy TensorFlow Lite models, and build real-time pipelines with MediaPipe.
- TFLite model conversion & quantization
- Hardware acceleration (GPU/NPU)
- MediaPipe Tasks for Android
- Custom model inference
- Benchmarking & optimization
AI Tools for Android Devs
Supercharge your development workflow with AI. Code generation, automated testing, PR reviews, and debugging — tools every Android engineer should know.
- Gemini in Android Studio
- Android CLI & Android Skills
- AI-powered code review
- Automated test generation
- Debugging with AI assistance
The Android AI Developer Toolkit
Google's AI tooling for Android keeps growing fast. Here's the order we teach it in — each step builds on the last, from testing a prompt to shipping AI features that run entirely on the device.
- Step 01
Prototype in Google AI Studio
Before writing a line of Kotlin, test Gemini prompts, multimodal inputs, and function calling in the browser. Free, fast, and no Android project required.
Open Google AI Studio - Step 02
Code faster with Gemini in Android Studio
Your AI pair programmer, built into the IDE you already use. Generate code from a description, explain unfamiliar code, fix errors inline, and write unit tests without leaving Android Studio.
See Gemini in Android Studio - Step 03
Automate builds with Android CLI & Android Skills
Drive real Android dev tasks — builds, migrations, upgrades — from any agent using the Android CLI. Install Android Skills like "Migrate XML to Compose" or "Upgrade to AGP 9" so agents follow expert, repeatable workflows instead of guessing.
Explore Android CLI & Skills - Step 04
Ship on-device intelligence
Run Gemini Nano locally through ML Kit GenAI APIs and AICore for private, offline features — summarization, proofreading, image description — with zero server cost or latency.
Learn Gemini Nano & AICore
What's next after this path: apps exposing their own actions as on-device AppFunctions (MCP for Android) and OEM assistants driving your app through Android Computer Control — early-stage, but worth watching if you want to stay ahead.
All AI Resources in One Place
Curated guides, docs, samples, and mentorship — everything you need to go from zero to AI.
Android Mock Interview AI
Speak with a live Agora-powered interviewer and practice your Android answers out loud.
NewAndroid AI Overview
Google's official map of every AI surface for Android — on-device models, agents, and dev tools.
OfficialGemini API Quickstart
Get an API key and make your first call in under 5 minutes.
TutorialML Kit Android Docs
Official Google documentation with code samples for every ML Kit API.
DocsAndroid AI Samples
Official Google sample apps demonstrating Gemini, ML Kit and on-device AI.
GitHubAI Interview Questions
Practice ML & AI questions that are increasingly appearing in Android interviews.
FreeAI Deep Dive Blogs
In-depth articles on building AI features in Android — written by a GDE.
Blogs1:1 AI Mentorship
Book a session to get personal guidance on integrating AI into your Android project.
PaidAI for Android Masterclass
A full cohort-based course on building production-grade AI features in Android apps. Gemini, ML Kit, on-device models, and real app projects — taught live by a GDE.
Weekly AI × Android insights
Join 5,000+ Android developers getting practical AI tutorials every week.