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Sunday, 30 March 2025

React with AI online training

ull Stack Web Development Curriculum

This curriculum provides a comprehensive journey from foundational web technologies to advanced full-stack development, culminating in real-world project experience.

Module 1: Front-End Foundations (HTML, CSS, JavaScript)

  1. HTML (HyperText Markup Language)

    • Basics:
      • HTML Structure and Syntax
      • Elements and Attributes
      • Forms and Input Types
    • Advanced:
      • Semantic HTML and Accessibility
      • HTML5 Features (Audio, Video, Canvas, SVG)
      • Search Engine Optimization (SEO) Best Practices
  2. CSS (Cascading Style Sheets)

    • Basics:
      • Selectors and Specificity
      • Box Model and Layout Techniques
      • Positioning (Static, Relative, Absolute, Fixed)
    • Advanced:
      • Flexbox and Grid Layouts
      • Animations and Transitions
      • CSS Preprocessors (SCSS, SASS)
      • Performance Optimization
      • Utility-First Frameworks (Tailwind CSS)
  3. JavaScript

    • Basics:
      • Variables (var, let, const)
      • Functions and Scope
      • Loops and Conditional Statements
      • Document Object Model (DOM) Manipulation and Events
    • Advanced:
      • ECMAScript 6+ (ES6+) Features (Arrow Functions, Spread/Rest, Destructuring)
      • Asynchronous Programming (Promises, Async/Await)
      • Object-Oriented Programming (OOP)
      • Application Programming Interfaces (APIs) (Fetch, Axios) and Web Storage (LocalStorage, SessionStorage)
      • Performance Optimization (Debouncing, Throttling)

Module 2: React.js Development

  1. React.js Basics:

    • JSX and Components
    • Props and State Management
  2. Advanced React.js:

    • React Hooks (useState, useEffect, useRef, useMemo, useCallback)
    • Context API and Redux Toolkit
    • Performance Optimization (Memoization, Lazy Loading)
    • React Router and Authentication (JSON Web Tokens (JWT), OAuth)
    • React Query for API State Management.

Module 3: Advanced Full-Stack Projects

This module focuses on practical application of learned skills through the development of complex, real-world projects.

  1. AI-Powered Blog Application:

    • Integration with OpenAI API for content generation.
    • Dynamic content storage on GitHub.
  2. E-commerce Platform:

    • Product listings and management.
    • Shopping cart system.
    • Payment gateway integration.
  3. Real-Time Chat Application:

    • Implementation of WebSockets.
    • Firebase integration.
    • User authentication.
  4. Dashboard with Data Visualization:

    • Interactive data charts using D3.js or Recharts.
  5. Full-Stack MERN (MongoDB, Express.js, React.js, Node.js) Application:

    • User authentication.
    • Create, Read, Update, Delete (CRUD) operations.
    • RESTful API development.

Module 1: Foundations of AI in React

  • Introduction to React AI Engineering:
    • Exploring the role of AI in front-end development.
    • Understanding how React facilitates AI-powered applications.
    • Principles of AI-driven User Interface (UI) and User Experience (UX).
  • Core AI Concepts and Integration:
    • Overview of AI Models: Large Language Models (LLMs), GPT, TensorFlow.js.
    • Integrating AI APIs: OpenAI, Hugging Face, Stability AI.
    • Building reusable AI-powered UI components in React.

Module 2: Interactive AI Features in React

  • AI Chatbots and Assistants:
    • Implementing conversational AI using OpenAI API.
    • Establishing real-time communication with WebSockets.
    • Managing context and memory in AI assistants.
  • Intelligent Search and Recommendations:
    • Developing predictive search suggestions.
    • Personalizing user experiences with AI-driven recommendations.
    • Applying machine learning for filtering and sorting data.
  • AI-Enhanced Media Processing:
    • Implementing image recognition with TensorFlow.js.
    • Integrating AI for image generation and editing (DALL·E, Stable Diffusion).
    • Exploring AI-powered video summarization techniques.

Module 3: Optimization and Advanced AI Applications

  • AI for Performance Optimization:
    • Utilizing AI to generate code optimization suggestions.
    • Implementing lazy loading and AI-driven caching strategies.
    • Integrating real-time AI for error detection and debugging.
  • Advanced AI Projects and Deployment:
    • Building interactive AI-powered data visualization dashboards.
    • Implementing AI-driven form validation and auto-completion.
    • Deploying AI-enhanced React applications on platforms like Vercel and AWS.