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ACCELERATE YOUR CAREER GROWTH

UGC
AICTE

AI and Machine Learning
🞅

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.

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  • Programme Features
  • Programme Structure
  • Eligibility
  • Learning Methodology
  • Fee Structure

    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.

Programme Structure

 

Ist SEMESTER2nd SEMESTER3rd SEMESTER4th 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 )
Eligibility
    1. Working Professionals with B.Tech have minimum 45% marks or its equivalent.












    2. At least one year of work experience.
  • 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

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