Building AI-Powered Android Apps with Gemini
26mGeneral2025-05-14
Authors
David Gassner
Author of 60+ video-based training courses for software developers
Course details
Android apps can now process AI prompts using cloud-based Large Language Models, starting with Google Gemini. In this course you’ll learn how to use the Gemini API to prototype an Android App with AI, and then how to migrate to Vertex API in Firebase for production apps. The course also teaches how to use Gemini in Android Studio to generate code and answer programming questions.
Learning objectives
Use Gemini in Android Studio to generate code and answer programming questions.
Learn about the differences between Gemini API and Vertex API for integrating AI into Android apps.
Prototype generative AI in Android apps with Gemini API.
Migrate Gemini queries to Vertex API for production.
Learning objectives
Use Gemini in Android Studio to generate code and answer programming questions.
Learn about the differences between Gemini API and Vertex API for integrating AI into Android apps.
Prototype generative AI in Android apps with Gemini API.
Migrate Gemini queries to Vertex API for production.
Skills covered
GeminiAndroid DevelopmentAndroidMobile DevelopmentAI Productivity ToolsGenerative AIGoogleArtificial Intelligence for BusinessArtificial Intelligence (AI)Business Software and ToolsOne-Off
Concepts
0. Introduction
- 01 - Why Integrate Google's Gemini in Android Apps
- 02 - Use the course's exercise files
1. Using Gemini in Android Studio
- 03 - Configure Android Studio to use Gemini
- 04 - Get answers with Gemini in Android Studio
- 05 - Try more tricks with Gemini in Android Studio
2. Prototype Android Apps with Gemini
- 06 - Create the Gemini Starter app
- 07 - Review the Gemini Starter app's code
- 08 - Handle streamed responses to improve perceived performance
- 09 - Include multiple images in Gemini prompts
Conclusion
- 10 - What's next - Migrate to Vertex API