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 jobsHybrid.com
- Training/Internship Certificate
Course Highlights
This course covers Python, data analysis, machine learning algorithms, React.
. **Course Description (Use Nimes)**
Our **AI ML React Course in Nimes** is a 4-month comprehensive training program designed to provide practical knowledge in Artificial Intelligence, Machine Learning, Python programming, Data Science, and React. js development. Join our **AI ML React Training in Nimes** to gain industry-ready skills and prepare for exciting careers in AI, Machine Learning, and Full Stack Development. Students will learn to build AI-powered web applications by combining machine learning models with modern frontend technologies. js, API integration, and AI application development through hands-on projects. 
