Foundations
of Mobile Development
Weeks 1-8: Foundations of Web Development
Objective
To introduce students to the fundamentals of web development and prepare them for AI integration.
What You Will Learn
- Basics of HTML, CSS, and JavaScript
- Setting up your development environment
- Understanding front-end frameworks (React) and back-end frameworks (Node.js)
- Building simple web applications with core functionalities
Introduction
In this module, you’ll gain the foundational skills needed to build web applications. 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 HTML, CSS, and JavaScript
- Designing responsive layouts with CSS Flexbox/Grid
- Building interactive UI components with React
- Setting up a Node.js server and APIs
Key Activities
- Install and configure your development environment (e.g., VS Code, Node.js)
- Build a basic portfolio website using HTML/CSS
- Create a dynamic to-do list app with React
- Set up a REST API using Node.js and Express
Weeks 9-16: Introduction to AI and Its Applications in Web Development
Objective
To introduce students to AI concepts and how they can be applied to enhance web applications.
What You Will Learn
- Fundamentals of artificial intelligence and machine learning
- Overview of AI tools for web development (TensorFlow.js, Dialogflow, Firebase ML)
- Integrating AI APIs into web apps
- Use cases for AI in web apps (e.g., chatbots, recommendation systems, NLP)
Introduction
This module bridges the gap between web development and AI. You’ll learn about AI technologies and their practical applications in web apps, setting the stage for hands-on implementation.
Course Content
- Introduction to AI and machine learning in web apps
- Exploring TensorFlow.js and Dialogflow
- Building a chatbot using Dialogflow
- Adding recommendation systems to a web app
Key Activities
- Integrate a pre-trained AI model into your web app
- Build a chatbot that responds to user queries
- Add a product recommendation feature using TensorFlow.js
- Test and debug your AI-enhanced web app
Weeks 17-24: Advanced AI Integration and Deployment
Objective
To finalize your AI-enhanced web app and prepare it for deployment.
What You Will Learn
- Advanced AI techniques (custom models, training, and optimization)
- Performance optimization for AI-enhanced web apps
- Preparing your app for hosting and deployment
- Marketing and monetization strategies for AI-powered web 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 cloud platforms and promote it effectively.
Course Content
- Training custom AI models for specific use cases
- Optimizing AI models for web performance
- Deploying your app on cloud platforms (e.g., AWS, Vercel, Netlify)
- Submitting your app to app stores or listing it online
Key Activities
- Train a custom AI model using TensorFlow.js or Python
- Optimize your app’s performance for web browsers
- Deploy your app to a cloud platform (e.g., AWS, Vercel)
- Prepare promotional materials (trailers, screenshots)
- Monitor analytics and gather user feedback