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                Web Development with AI                                    Enhancement

 

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Course Description


This 6-month intensive course is designed to teach you how to develop modern web applications enhanced with artificial intelligence (AI). You’ll learn the fundamentals of front-end and back-end development using HTML, CSS, JavaScript, and frameworks like React or Node.js, while integrating AI features such as chatbots, recommendation systems, natural language processing (NLP), and predictive analytics. By the end of the course, you will have developed a fully functional AI-enhanced web application ready for deployment.  


Key Features


Classroom Learning

Collaborate with peers and receive personalized feedback.


Real-World Projects

Tackle industry-inspired briefs to build practical experience.


Internship/Freelancing/Coworking Space

Get paired with professionals for guidance and networking.

                    Course Content

Learn how to quickly start using our courses with our step-by-step learning process.

 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

  1. Introduction to HTML, CSS, and JavaScript
  2. Designing responsive layouts with CSS Flexbox/Grid
  3. Building interactive UI components with React
  4. 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

  1. Introduction to AI and machine learning in web apps
  2. Exploring TensorFlow.js and Dialogflow
  3. Building a chatbot using Dialogflow
  4. 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

  1. Training custom AI models for specific use cases
  2. Optimizing AI models for web performance
  3. Deploying your app on cloud platforms (e.g., AWS, Vercel, Netlify)
  4. 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



Course Outcomes

By the end of the course, you will:

  • Have developed a fully functional AI-enhanced web application
  • Be proficient in web development tools like React, Node.js, and Express
  • Understand how to integrate AI APIs and train custom models
  • Possess the skills to deploy and market AI-enhanced web apps
  • Gain confidence in combining AI with web development workflows

Course Duration

  • 6 months (24 weeks) with a recommended commitment of 8–10 hours per week.

Certificate of Completion

  • Upon successful completion of the course, including all assignments and submitting your final AI-enhanced web app, participants will receive a Certificate of Completion signed by the instructor(s). This certificate can be showcased on resumes, LinkedIn profiles, or portfolios to demonstrate your expertise in web development with AI enhancement.  



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