The Indian Institute of Technology Madras has announced the launch of its highly anticipated IIT Madras Free ML Course 2026, offering students and professionals a chance to learn Machine Learning from one of India’s most respected technical institutions. This initiative strengthens IIT Madras’ commitment to making quality education accessible through digital platforms and promoting AI literacy across the country.
The IIT Madras ML 2026 programme focuses on building strong foundations in Artificial Intelligence and Machine Learning, empowering learners to understand real-world applications such as predictive analytics, automation, data-driven decision-making and intelligent systems. As a leading free AI course India, it aims to prepare the next generation for rapidly evolving tech careers.
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Table of Contents
About the IIT Madras
The Indian Institute of Technology Madras (IIT Madras or IITM) is a public research university and technical institute located in Chennai, Tamil Nadu, India. It is one of the eight public Institutes of Eminence of India. As an Indian Institute of Technology (IIT), IIT Madras is also recognized as an Institute of National Importance by the Government of India.
Founded in 1959 with technical, academic and financial assistance from the then government of West Germany, IITM was the third Indian Institute of Technology established by the Government of India. IIT Madras has consistently ranked as the best engineering institute in India by the Ministry of Education’s National Institutional Ranking Framework (NIRF) since the ranking’s inception in 2016.
Who Can Apply?
Undergraduate and postgraduate students from Computer Science, Electrical Engineering, Mathematics, Electronics, and related fields.
Working professionals who want to deepen their knowledge of machine learning beyond short tutorials.
Researchers in interdisciplinary fields such as economics, biology, and social sciences requiring ML for data analysis.
Learners comfortable with basic programming (Python recommended), probability, linear algebra, and optimisation.
The course provides a Week 0 recap to help those returning to mathematical concepts after a break.
Course Syllabus Overview
Weeks 0–2: Probability, linear algebra, statistics, decision theory, and convex optimisation as foundational tools.
Weeks 2–5: Classical supervised learning covering linear regression, logistic regression, support vector machines, and early neural networks.
Weeks 6–8: Advanced topics including decision trees, ensemble methods like bagging, boosting and stacking, Naive Bayes, Bayesian networks.
Weeks 9–12: Graphical models, hidden Markov models, clustering techniques, Gaussian mixture models, expectation-maximization algorithm, and an introduction to reinforcement learning.
Assignments contribute 25% of your final score; the proctored exam is 75%. To earn the certificate, you must meet minimum scores in both.
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Benefits of Enrolling in the IIT Madras ML Course
No Cost to Learn: Free access to lectures, materials, and assignments.
Flexible and Self-Paced: Study at your own convenience in a 12-week timeframe.
Quality Education: Taught by Professor Balaraman Ravindran, Mindtree Faculty Fellow at IIT Madras.
Certification: An Optional proctored exam leads to a certificate recognised by the Indian industry and academia.
Comprehensive Content: Covers rigorous theory and practical applications, going beyond typical beginner courses.
Career Advancement: Ideal for AI, data science, analytics roles; valuable foundation for further specialisation.
How to Enrol in IIT Madras Free ML Course 2026
Visit the official SWAYAM or NPTEL website starting November 17, 2025.
Search for the course code “NOC: Introduction to Machine Learning, “IIT Madras”
Create a free account or log in using your credentials.
Register for the course between November 17, 2025, and January 26, 2026.
Access lecture videos, download notes, and start assignments as per the course schedule.
Complete course content and assessments to earn the certificate issued by IIT Madras and NPTEL.
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Conclusion
The IIT Madras Free ML Course 2026 offers a remarkable chance to learn machine learning from a prestigious IIT professor, completely free and online. With the combination of flexible learning, rigorous content, and official certification, this course is a must for anyone serious about a career in AI and data science. By integrating focus keywords strategically in your blog, you can effectively reach and engage learners eager to benefit from this prestigious offering.
