NPTEL Introduction to Machine Learning (IIT Madras)

IIT Madras × NPTEL

A comprehensive machine learning course from IIT Madras via NPTEL (National Programme on Technology Enhanced Learning), India's largest free e-learning platform developed by IITs and IISc. Covers supervised learning, unsupervised learning, and practical ML applications. Course is free; certificate requires a nominal exam fee of Rs. 1000.

Duration

12 weeks

Level

Intermediate

Deadline

No Deadline

🌐 Available Languages: English
📅 Last Updated: 2026-03-24

📋 Prerequisites

Basic knowledge of linear algebra, probability, and programming (preferably Python). Undergraduate-level mathematics background recommended.

👥 Who Should Take This Course

  • Engineering and CS students in India and worldwide
  • Working professionals seeking ML skills
  • Researchers transitioning to machine learning
  • Anyone preparing for AI/ML career roles

📚 What You Will Learn

1

Introduction to Machine Learning and Probability

2

Supervised Learning: Regression and Classification

3

Unsupervised Learning: Clustering and Dimensionality Reduction

4

Neural Networks and Deep Learning Fundamentals

5

Ensemble Methods and Model Selection

6

Practical Applications and Project Work

🏛️ About the Institution — IIT Madras

NPTEL is a joint initiative of IITs and IISc, funded by India's Ministry of Education. It is the world's largest repository for engineering and science courses with 54,000+ hours of video content and 3,200+ courses across 23 disciplines. IIT Madras hosts NPTEL's headquarters.

Founded

2003

Location

Chennai, India

Recognition

IIT Madras — #1 Engineering Institute in India (NIRF)

❓ Frequently Asked Questions

Is the NPTEL certificate free?
Learning is completely free. To obtain a verified IIT certificate, you must pass a proctored exam held at designated centers in India for a fee of Rs. 1000 (~$12 USD). The certificate is e-verifiable and endorsed by IIT Madras.

📖 Get Step-by-Step Guide

Complete walkthrough with screenshots, tips, and troubleshooting

  • Step-by-step registration walkthrough
  • Screenshot tutorials for each step
  • Common mistakes to avoid
  • Tips to complete faster
  • Troubleshooting FAQ
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