Foundations
of Mobile Development
Weeks 1-8: Foundations of Mobile Development
Objective
To introduce students to the fundamentals of mobile app development and prepare them for AI integration.
What You Will Learn
- Basics of mobile app development frameworks (Flutter, React Native, or Swift)
- Setting up your development environment
- Understanding UI/UX principles for mobile apps
- Building simple apps with core functionalities
Introduction
In this module, you’ll gain the foundational skills needed to build mobile apps. You’ll explore popular frameworks and tools used in the industry, ensuring you’re ready to incorporate AI features later in the course.
Course Content
- Introduction to Flutter, React Native, or Swift
- Designing user interfaces and navigation flows
- Handling user input and data storage
- Debugging and testing mobile apps
Key Activities
- Install and configure your chosen mobile development framework
- Build a basic to-do list app
- Implement navigation between screens
- Participate in a code review session with peers
Weeks 9-16: Introduction to AI and Its Applications in Mobile Apps
Objective
To introduce students to AI concepts and how they can be applied to enhance mobile apps.
What You Will Learn
- Fundamentals of artificial intelligence and machine learning
- Overview of AI libraries and tools (TensorFlow Lite, Firebase ML, OpenCV)
- Integrating AI APIs into mobile apps
- Use cases for AI in mobile apps (e.g., chatbots, image recognition, recommendations)
Introduction
This module bridges the gap between mobile development and AI. You’ll learn about AI technologies and their practical applications in mobile apps, setting the stage for hands-on implementation.
Course Content
- Introduction to AI and machine learning
- Exploring TensorFlow Lite and Firebase ML
- Building a simple chatbot using NLP APIs
- Adding image recognition capabilities to a mobile app
Key Activities
- Integrate a pre-trained AI model into your app
- Build a chatbot that responds to user queries
- Add image classification functionality using TensorFlow Lite
- Test and debug your AI-enhanced app
Weeks 17-24: Advanced AI Integration and Deployment
Objective
To finalize your AI-powered mobile app and prepare it for deployment.
What You Will Learn
- Advanced AI techniques (custom models, training, and optimization)
- Performance optimization for AI-enhanced apps
- Preparing your app for app store submission
- Marketing and monetization strategies for AI-powered apps
Introduction
In the final module, you’ll refine your app by incorporating advanced AI features and optimizing its performance. You’ll also learn how to deploy your app to app stores and promote it effectively.
Course Content
- Training custom AI models for specific use cases
- Optimizing AI models for mobile performance
- Preparing metadata and marketing materials
- Submitting your app to Google Play Store and Apple App Store
Key Activities
- Train a custom AI model using TensorFlow or PyTorch
- Optimize your app’s performance for mobile devices
- Prepare promotional materials (trailers, screenshots)
- Submit your app to app stores and monitor analytics
