Building an AI App with Flutter Using Vertex AI and Firebase

Overview

Master Flutter app development with generative AI, integrating Vertex AI and Firebase to transform innovative ideas into functional applications with rapid prototyping techniques.

Syllabus

• Introduction to Flutter
Overview of Flutter framework
Setting up the development environment
Basics of Dart programming language
• Fundamentals of Firebase
Overview of Firebase and its core services
Setting up Firebase in a Flutter project
Real-time database integration and cloud storage
Firebase authentication and security rules
• Introduction to Vertex AI
Overview and benefits of Vertex AI
Getting started with Google Cloud and Vertex AI
Basic concepts of machine learning and AI
• Generative AI Essentials
Understanding generative AI models
Exploration of popular generative AI use cases
Integrating generative AI models into applications
• Building a Flutter App with Firebase
Designing the app architecture
Implementing user interface components with Flutter
Integrating Firebase for backend support
Real-time data synchronization and offline capabilities
• Integrating Vertex AI into Your Flutter App
Using pre-trained models with Vertex AI
Fine-tuning models for custom needs
Deploying AI models for real-time inference
• Rapid Prototyping Techniques
Agile development practices for rapid prototyping
Leveraging Flutter's hot reload feature for quick iteration
Testing and debugging applications
• Final Project: Developing a Complete AI-Powered Flutter App
Conceptualizing and planning the app
Implementing the app's front-end with Flutter and back-end with Firebase
Integrating and deploying Vertex AI models
Preparing the app for deployment and launching on app stores
• Conclusion and Next Steps
Recap of key concepts and learning outcomes
Tips for further learning and exploration in AI and app development
Resources for expanding knowledge and skills in Flutter, Firebase, and Vertex AI

Subjects

Programming