Discover how to use popular Gen AI tools and technologies such as Dall-E, Midjourney, Graph Neural Networks (GNN), ChatGPT, and Generative Adversarial Networks (GANs).
Deep learning, computer vision, machine learning, attention, transformers, BERT, natural language processing (NLP), and more.
1. M.Tech. CSE-AI & Machine Learning is a Lateral Entry for Working Professional Programï, recognized by UGC.
2. The programme is of four semesters, with online classes conducted on weekends or after business hours.
3. Contact-less and safe Online exams facility.
4. Lectures are delivered by faculty members and experienced industry professionals.
5. The Dissertation in the final semester enables students to apply concepts and techniques learnt during course work to solve current environmental problems.
6. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
Ist SEMESTER | 2nd SEMESTER | 3rd SEMESTER | 4th SEMESTER |
---|---|---|---|
Advanced Design Analysis and Algorithm | Software Engineering | Research Methodology | DISSERTATION |
Numerical Method and Computer Programming | Advance OOPS | Pattern Recognition and Anomaly Detectionï | |
Python Programming | Deep Learning | Mini Dissertation | |
Introduction to Artificial Intelligence & Machine Learning | Departmental Elective-II | Mini Project | |
Numerical Method and Computer Programming Lab | Computer Programming Lab | ||
Advanced Design Analysis and Algorithm LAB | Advance OOPS Lab | ||
ELECTIVE -I ( ANY ONE ) | ELECTIVE -II ( ANY ONE ) | ELECTIVE -III ( ANY ONE ) | ELECTIVE -IV( ANY ONE ) |
Live & Recorded Lectures with cutting-edge tutorials.
Interact and Collaborate with Peers and Faculty
Online Mentoring
Use of Multimedia and Open Educational Resources
'Flipped' Classrooms
E-portfolio & Peer Assessment
Work Integrated Advantage
Experiential Learning
Academic & Industry Mentorship
Continuous Assessment
Dissertation/Project Work
• Application Fees (one time) : INR 1,000
• Semester Fees (per semester) : INR 36,000
• Examination Fees (per semester) : INR 1,000