AI, ML & React.js Training in Salem

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