Artificial Intelligence & Machine Learning
UG & PG Pathway16 weeksUG & PG university learners
A research-oriented programme covering foundations of intelligent systems, statistical learning, and model development for real-world engineering problems.
Learning domain: AI & Machine Learning
Delivery mode: Blended — IIT-led lectures, laboratory practicum, and mentored project studios
Programme focus
- Formulate ML problems aligned with institutional and industry use cases
- Apply supervised and unsupervised methods with reproducible experimentation
- Evaluate models using rigorous validation and responsible-AI considerations
- Translate research insights into prototype systems suitable for further R&D
Course Modules
- 1Mathematical Foundations for Learning Systems
Linear algebra, probability, and optimization for ML pipelines.
- 2Supervised Learning & Model Design
Regression, classification, regularization, and ensemble methods.
- 3Deep Learning Architectures
Neural networks, representation learning, and transfer learning.
- 4Mentored Capstone Studio
Faculty-guided project integrating data, models, and evaluation.
Interested in this course?
Contact the programme office or submit a query for institutional enrolment and partnerships.