Module 1: Foundations of Mobile App Development
- Native vs. cross-platform development (Android, iOS, Flutter, React Native)
- Core mobile app architecture: front-end, back-end, APIs
- Development environments: Android Studio, Xcode, VS Code
Module 2: Introduction to AI in Mobile Apps
- What makes an app “AI-powered”?
- Common AI features: chatbots, recommendation engines, image recognition, voice assistants
- Case studies: Duolingo (NLP), TikTok (recommendation), Snapchat (computer vision filters)
Module 3: Data Handling
- Collecting and preprocessing mobile app data
- Integrating cloud-based AI services (Azure AI, Google ML Kit, AWS AI)
- Privacy and compliance (GDPR, CCPA, NDPR)
Module 4: Machine Learning Integration
- Using pre-trained models in mobile apps
- On-device ML with TensorFlow Lite, Core ML, and ML Kit
- Hands-on: building a simple image classifier app
Module 5: Natural Language Processing (NLP)
- Text classification and sentiment analysis
- Speech-to-text and text-to-speech integration
- Chatbot development with Dialogflow or Rasa
- Project: AI-powered customer support app
Module 6: Computer Vision in Mobile Apps
- Object detection and image recognition
- Augmented reality with ARKit/ARCore
- Hands-on: building a mobile app with AI filters
Module 7: Personalization and Recommendations
- Recommendation systems for mobile apps
- Context-aware personalization (location, behavior, preferences)
- Case study: e-commerce app with AI-driven product suggestions
Module 8: Deployment and Optimization
- Packaging and publishing apps (Google Play, App Store)
- Performance optimization for AI models on mobile devices
- Monitoring and updating AI features
Module 9: Challenges and Risks
- Model size and performance constraints on mobile devices
- Data privacy and ethical concerns
- Bias in AI-driven features
- Balancing automation with human oversight
Module 10: Future Trends
- Generative AI in mobile apps (text, image, video creation)
- AI agents for autonomous mobile workflows
- Integration with IoT and wearables
- AI-driven AR/VR mobile experiences