Artificial Intelligence and Machine Learning Colleges

AI and ML is offered under many titles. Institutions with strong computing or AI-related programmes include:

• Indian Institute of Technology Hyderabad;
• Indian Institute of Technology Madras;
• Indian Institute of Technology Jodhpur;
• Indian Institute of Technology Roorkee;
• Indian Institute of Technology Kharagpur;
• Indian Institute of Science Bengaluru;
• International Institute of Information Technology Hyderabad;
• Indraprastha Institute of Information Technology Delhi;
• selected National Institutes of Technology;
• Delhi Technological University;
• Netaji Subhas University of Technology;
• BITS Pilani;
• Vellore Institute of Technology;
• SRM Institute of Science and Technology;
• Manipal institutions;
• Amrita Vishwa Vidyapeetham;
• Symbiosis Institute of Technology;
• Ramaiah Institute of Technology;
• Christ University;
• Chandigarh University;
• UPES; and
• other recognised universities.

This is not a ranking or confirmation that every institution currently offers the exact degree title. Students must verify the course and admission session.

How to Select an AI and ML College

Programme structure: Determine whether it is standalone AI and ML or CSE with specialisation.

Core CSE coverage: Check algorithms, databases, operating systems, networks and software engineering.

Mathematics: Verify the inclusion of probability, statistics, linear algebra and optimisation.

AI depth: Check ML, deep learning, NLP, computer vision and MLOps.

Faculty: Review qualifications, publications and project supervision.

Computing resources: Look for cloud, GPU and laboratory access.

Student intake: Very large intakes can strain faculty and resources.

Research: Examine laboratories, publications and funded projects.

Internships: Review actual internship partners and student roles.

Placements: Separate AI-specific roles from general software placement.

Fees: Compare the total cost with verified outcomes.