IIT Madras Launches 5 Free AI Courses on SWAYAM Plus – Enroll Now

IIT Madras AI Courses: The Indian Institute of Technology (IIT) Madras has launched five free online courses on Artificial Intelligence through the SWAYAM Plus platform. Designed for students, faculty, and working professionals, these courses are 25 to 45 hours in duration and require no prior knowledge of AI, making them accessible to all. Interested applicants can apply at swayam-plus.swayam2.ac.in/ai-for-all-courses by May 12, 2025. For more information, please send inquiries to pmu-sp@swayam2.ac.in.

IIT Madras 5 Free Online AI Courses

AI courses offer several key advantages: they are aligned with the National Credit Framework (NCrF) and focus on improving employability. They include practical activities, real-world data sets, and case-based learning.

1. AI in Physics: Delves into the application of AI tools, such as machine learning and neural networks, to solve real-world physics problems. The course includes practical labs and interactive modules on fundamental physics concepts.
2. AI in Chemistry: Introduces AI-based approaches in chemistry, covering areas such as predicting molecular properties and modeling chemical reactions using real-world datasets and Python programming.
3. AI in Accounting: Designed for commerce and management students, this course links basic accounting principles with AI applications. Students gain hands-on experience using Python and datasets to explore automation in accounting processes.
4. Cricket Analysis with AI: Explores sports analysis from a cricket perspective. Using Python and data science techniques, students analyze real-world cricket data through case studies and data visualization.
5. AI/ML with Python: A beginner's course that lays the foundations of artificial intelligence and machine learning. It covers Python programming, statistics, linear algebra, optimization, and data visualization, all applied to real-world problems.

Who can apply for IIT Madras Free Online AI Courses?

AI courses are open to undergraduate and graduate students from all academic disciplines, including engineering, science, business, arts, and interdisciplinary studies. Faculty from higher education institutions are also encouraged to participate. No prior knowledge of AI or programming is required; basic digital skills and a willingness to learn are sufficient.