Building Intelligent Android Apps with Gemini AI

Overview

Master integrating Gemini models into Android apps for powerful on-device and cloud-based AI capabilities, from Nano's local processing to Pro and Flash's advanced features.

Syllabus

• Course Introduction
Overview of Course Objectives
Introduction to Gemini AI
• Module 1: Understanding Gemini AI Models
Overview of Gemini Nano, Pro, and Flash Models
On-Device vs. Cloud-Based AI Capabilities
• Module 2: Setting Up the Development Environment
Tools and SDK Installation
Configuring Android Studio for AI Development
• Module 3: Basics of Android App Development
Introduction to Android App Structure
Building a Basic User Interface
• Module 4: Integrating Gemini AI into Android Apps
Gemini SDK Setup and Integration
Using Nano for Local Processing
Leveraging Pro and Flash for Cloud-Based Capabilities
• Module 5: Implementing AI Features
Creating Intelligent User Interactions
Speech Recognition and Natural Language Processing
Image and Video Analysis
• Module 6: Optimizing AI Models
Model Optimization Techniques for Performance
Balancing Accuracy and Resource Consumption
• Module 7: Testing and Debugging
Testing AI Features in Android Apps
Tools and Techniques for Debugging AI Models
• Module 8: Deployment and Maintenance
Preparing Apps for Deployment
Maintaining AI Features in Production
• Final Project
Designing and Building an Intelligent Android Application
Utilizing Gemini AI Features Effectively
• Course Conclusion
Review of Key Concepts
Future Trends in AI and Mobile Development

Subjects

Programming