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AI, ML & React.js - Syllabus, Fees & Duration

Introduction

The AI, ML & React.js Full Stack Development course is designed to provide complete knowledge of Artificial Intelligence, Machine Learning, Python programming, and modern frontend development using React.js. This 4-month program focuses on practical learning, AI integration, and real-world project development.

Course Syllabus

Month 1: Python Programming & Artificial Intelligence Fundamentals

Python Programming

  • Introduction to Python Programming
  • Python Installation and Development Environment
  • Variables and Data Types
  • Operators and Expressions
  • Conditional Statements
  • Loops and Control Statements
  • Functions and Modules
  • Lists, Tuples, Sets, and Dictionaries
  • File Handling
  • Exception Handling

Object Oriented Programming

  • Class and Object
  • Constructor
  • Inheritance
  • Encapsulation
  • Polymorphism

Artificial Intelligence Basics

  • Introduction to Artificial Intelligence
  • History and Evolution of AI
  • Types of AI
  • AI Applications in Real World
  • Machine Learning and Deep Learning Overview

Month 2: Data Science & Machine Learning

Data Science Fundamentals

  • Introduction to Data Science
  • Data Science Life Cycle
  • Data Collection and Data Processing
  • Data Cleaning Techniques
  • Data Analysis Concepts

Python Libraries for Data Science

  • NumPy for Numerical Computing
  • Pandas for Data Analysis
  • Matplotlib for Data Visualization
  • Seaborn Visualization

Machine Learning

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Regression Algorithms
  • Linear Regression
  • Logistic Regression
  • Classification Algorithms
  • Decision Tree Algorithm
  • Random Forest Algorithm
  • K-Means Clustering
  • Model Training and Evaluation

Month 3: React.js Frontend Development

Web Development Fundamentals

  • HTML5 Basics
  • CSS3 Styling
  • Responsive Web Design
  • JavaScript ES6 Concepts
  • DOM Manipulation

React.js Fundamentals

  • Introduction to React.js
  • React Environment Setup
  • Components and JSX
  • Props and State
  • Event Handling
  • Conditional Rendering
  • Forms Handling
  • React Hooks
  • useState and useEffect
  • React Router

Advanced React Development

  • API Integration
  • Axios Library
  • State Management Concepts
  • Authentication in React
  • Creating Interactive User Interfaces

Month 4: AI Integration & Final Projects

AI Application Development

  • Machine Learning Model Integration
  • Connecting AI Models with Web Applications
  • REST API Development
  • Flask/FastAPI Introduction
  • Deploying Machine Learning Models

AI Based Applications

  • AI Chatbot Development
  • Recommendation System
  • Image Recognition Application
  • Prediction-Based Applications
  • AI Dashboard Development

Final Capstone Projects

  • AI Chatbot using React.js
  • Face Recognition Attendance System
  • AI Resume Analyzer
  • Movie Recommendation System
  • Sales Prediction Dashboard
  • Smart AI Web Application

Tools and Technologies

  • Python
  • Machine Learning
  • Artificial Intelligence
  • NumPy, Pandas, Matplotlib
  • Scikit-learn
  • TensorFlow/Keras
  • HTML, CSS, JavaScript
  • React.js
  • REST API
  • Flask/FastAPI
  • Git and GitHub

Download Syllabus - AI, ML & React.js
This syllabus is not final and can be customized as per needs/updates
 
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AI, ML & React.js Internship/Course Details

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