M.Tech. (CSE) specialization in Generative AI
2 years (PG diploma in case of exit after one year)
Program Overview
The M.Tech programme in Computer Science and Engineering with a specialization in Generative AI is designed to equip students with advanced knowledge and practical skills in the rapidly evolving field of artificial intelligence, particularly focusing on generative models and their applications. The programme offers a comprehensive curriculum spanning theoretical foundations, practical applications, and research methodologies, preparing scholars for careers in industries at the forefront of AI innovation.
Electives
- Applied NLP
- Vision Transformers
- GPU Architecture & Programming
- Explainable AI
- Robotics & Automation
- Ethical AI
Talk to an Advisor
What Sets M. Tech at IILM University Apart?
- Elevate your journey in M.Tech. CSE with a specialization in Gen-AI at IILM University, where
- Students will receive a special combination of theoretical and practical knowledge from the faculty, which consists of distinguished and visiting professionals from the AI/ML domain.
- In order to prepare students for success in the quickly evolving world of Gen-AI, the School of Computer Science and Engineering at IILM, in collaboration with industry partners, offers cutting-edge GenAI knowledge and skills.
- Students will be made aware of machine learning, MLops, deep learning, vision transformers, large language models, explainable, and ethical AI, to name a few.
- Moreover, students receive mentorship and assistance from faculty members with substantial research expertise, ensuring they have the resources necessary to excel in their academic endeavours.
These, along with other offerings, set our programme apart.
B.E./B.Tech. (All streams), M.Sc. (Math/Physics/CS) (Bridge course is planned for non-CSE background students)
The course structure for the M.Tech programme in GenAI is designed to provide students with a comprehensive understanding of artificial intelligence and its applications, with a focus on generative models. Here’s a brief overview of the course structure:
Bridge Course (Semester 1):
This course serves as an introduction to foundational concepts necessary for the programme.
Semester 1:
– Optimization Algorithms: Covers various techniques crucial for AI model training.
– Database Systems: Focuses on database design, implementation, and management.
– Statistics and Exploratory Data Analytics: Introduces statistical methods and data analysis techniques.
– Applied Machine Learning: Explores advanced machine learning algorithms and applications.
– Digital Image Processing: Covers techniques for processing and analysing digital images.
– Neural Networks & Deep Learning: Delves into principles and applications of neural networks.
Semester 2:
– Computational Linguistics & Natural Language Processing: Focuses on NLP techniques and applications.
– MLOps for Generative-AI: Covers the operational aspects of deploying and managing AI models.
– Generative AI: Explores generative models and their applications.
– Research Methodology & IPR: Introduces research methodologies and intellectual property rights.
– Programme Elective-1 &Programme Elective-2: Allows students to choose specialized elective courses based on their interests.
Semester 3:
– Summer Internship/Capstone Project: Provides practical experience through internships or capstone projects.
Semester 4:
– Project/Dissertation Phase – 1 & Phase – 2: Involves research and development of a project or dissertation under faculty guidance.
The career opportunities in the Gen-AI domain are vast and diverse, reflecting the increasing integration of artificial intelligence and machine learning technologies across various industries. Here are some key career paths and opportunities:
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- AI/ML Consultant
- AI Ethicist
- AI Product Manager
- Natural Language Processing (NLP) Engineer
- Computer Vision Engineer
- Generative AI Engineer
- Gen-AI Model Architect
- Gen-AI System Developer
- Gen-AI Ethics Specialist
- Gen-AI Strategy Consultant
- Gen-AI Solution Architect
- Gen-AI Product Manager
Generative AI technologies are revolutionizing various industries, including entertainment and media, gaming, fashion and design, healthcare, art and creativity, advertising and marketing, finance and trading, robotics and automation, and virtual reality (VR) and augmented reality (AR). These industries utilizing Generative AI for content creation, procedural generation, personalized experiences, medical imaging, artistic expression, marketing campaigns, financial analysis, robotic automation, and immersive simulations. The programme offers a range of placement and training opportunities to ensure that students are well-equipped to pursue rewarding careers in the dynamic and rapidly growing field of GenAI.
