AI, ML & React.js Online Live Class by Experts
Our Training/Internship Process
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
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 1000 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
Course Highlights
Students will learn to build AI-powered web applications by combining machine learning models with modern frontend technologies.
. js development. Join our **AI ML React Training in Nice** to gain industry-ready skills and prepare for exciting careers in AI, Machine Learning, and Full Stack Development. **Course Description (Use Nice)**
Our **AI ML React Course in Nice** is a 4-month comprehensive training program designed to provide practical knowledge in Artificial Intelligence, Machine Learning, Python programming, Data Science, and React.
This course covers Python, data analysis, machine learning algorithms, React. js, API integration, and AI application development through hands-on projects. 
