Program Structure

Module 1: Introduction to Web Development and AI

• Overview of web development: HTML, CSS, JavaScript, and server-side scripting (Node.js, Python, PHP, etc.).
• Introduction to Artificial Intelligence and its role in web development.
• Understanding key AI technologies: machine learning, natural language processing, and computer vision.
• Hands-on exercise: Setting up a basic website with interactive features.

Module 2: Web Development Fundamentals

• Deep dive into HTML5: Structuring content and building accessible websites.
• CSS3 for modern styling: Layouts, flexbox, grid, and responsive design techniques.
• JavaScript essentials: Working with variables, functions, DOM manipulation, and event handling.
• Hands-on exercise: Building a simple responsive webpage.

Module 3: Introduction to AI in Web Applications

• Overview of AI tools and libraries used in web development (TensorFlow.js, ML5.js, etc.).
• Introduction to integrating AI models into web applications for features like predictions and image recognition.
• AI in personalization and recommendation systems for better user experiences.
• Hands-on exercise: Integrating a basic machine learning model into a web app for personalized content recommendations.

Module 4: Building AI-Powered Features for Web Applications

• Chatbots and Virtual Assistants: Using AI for interactive customer support.
• Integrating Natural Language Processing (NLP) into web applications for text analysis, sentiment detection, and more.
• Predictive analytics: Building AI models to predict user behavior or trends.
• Hands-on exercise: Creating an AI-powered chatbot for customer interaction on a website.

Module 5: Advanced AI Features for Web Applications

• Image and speech recognition: Integrating AI for enhanced accessibility and features.
• AI-powered search engines: Using machine learning to optimize search results.
• Building recommendation systems using collaborative filtering and content-based methods.
• Hands-on exercise: Implementing an AI-driven image recognition feature on a website.

Module 6: Deploying AI-Integrated Web Applications

• Best practices for deploying web applications with AI integrations on cloud platforms (AWS, Azure, Google Cloud).
• Optimizing the performance and scalability of AI-powered web applications.
• Security and privacy considerations for AI-driven applications.
• Hands-on exercise: Deploying a simple AI-integrated web application to the cloud.

Module 7: Future of AI in Web Development

• Exploring emerging trends in AI-driven web development.
• AI in enhancing user experience: Personalized content, dynamic websites, and behavior tracking.
• Discussion on the future of AI technologies in web development and upcoming tools.
• Hands-on exercise: Brainstorming future applications of AI in web development.

Final Project

• Design and develop a fully functional web application incorporating AI features like a recommendation system, chatbot, or predictive analytics.
• Implement AI to enhance user experience through dynamic content, personalized interaction, or predictive models.
• Present the final project to the class with a demonstration of the AI functionalities and web application.