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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 Jobs in Koniz

Enjoy the demand

Find jobs related to AI, ML & React.js in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Koniz, chennai and europe countries. You can find many jobs for freshers related to the job positions in Koniz.

  • AI Engineer
  • Machine Learning Engineer
  • React.js Developer
  • Full Stack Developer
  • AI Application Developer
  • Python Developer
  • Data Scientist
  • Frontend Developer
  • ML Engineer
  • Software Developer

AI, ML & React.js Internship/Course Details

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

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