IIT Delhi Certificate Programme in Generative AI

The Certificate Programme in Generative AI from IIT Delhi offers an in-depth exploration of advanced AI techniques, focusing on Large Language Models (LLMs) like GPT, BERT, and T5. This 6-month program combines theoretical foundations with practical applications, covering everything from mathematical basics to cutting-edge topics like RLHF and Vision-Language Models.

Instructors:

Prof. Tanmoy

Prof. Rachit Chhaya

English

Course Start Date:
15th February 2025
Applications Deadline:
31st Dec, 2024
Duration:
6 Months

₹ 1,99,420

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Overview

The IIT Delhi Certificate Programme in Generative AI is a comprehensive 6-month program designed for AI professionals and enthusiasts. Offered by the Department of Electrical Engineering, it provides advanced training in LLMs, neural networks, and practical applications of generative AI technologies.

Why Master of Science (MSc)?

This program stands out for its cutting-edge curriculum covering the latest developments in generative AI and LLMs. Students benefit from hands-on experience with industry-standard tools, expert faculty instruction, and practical projects that demonstrate real-world applications.

What does this course have to offer?

Key Highlights

60 hours of live online sessions
10 hours capstone project
12 hours tutorials
60 hours self-paced learning
Optional campus immersion
Comprehensive career support
Industry-relevant tools and frameworks

Who is this programme for?

AI/ML Professionals seeking LLM expertise
Data Scientists and Engineers
Tech Leaders and Managers
Product Managers and Innovators
Software Developers
Academics and Researchers
AI Enthusiasts

Minimum Eligibility

Graduates or Postgraduates in Science, Technology, Engineering or Mathematical Sciences
Selected through application review
Access to computer and stable internet

Who is the programme for?

The program follows a rigorous selection process based on application review. Assessment includes an end-of-program exam (60%), assignments and projects (30%), and attendance (10%). A minimum of 50% marks and 70% attendance is required for completion certification.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum spans six comprehensive modules covering mathematical foundations, machine learning, NLP, generative AI for text and vision, and responsible AI. Each module includes practical assignments, case studies, and hands-on tutorials using industry-standard tools like PyTorch, TensorFlow, and Hugging Face.

There are 9 semesters in this course

The program features six intensive modules beginning with mathematical foundations in linear algebra and probability theory. It progresses through machine learning fundamentals, advanced NLP concepts, and cutting-edge generative AI applications. Special emphasis is placed on transformer architectures, LLMs, and responsible AI practices. Each module combines theoretical knowledge with practical implementation through hands-on projects and tutorials.

Module 1: Mathematical Foundations for ML

Module 2: Machine Learning

Module 3: NLP

Module 4: Generative AI for Text

Module 5: Generative AI for Vision

Module 6: Responsible AI

Tools Covered

Assignments

Tutorials

Programme Length

6 months duration with flexible learning components including 60 hours of live online sessions, 10 hours capstone project, 12 hours tutorials, and 60 hours self-paced learning. Optional one-day campus immersion available.

Tuition Fee

The program fee is ₹1,69,000 plus 18% GST (₹30,420), totaling ₹1,99,420. Payment can be made in installments: ₹1,000 application fee and four installments of ₹49,000, ₹40,000, ₹40,000, and ₹40,000. EMI options available through TimesPro.

Fee Structure

Payment options

Learning Experience

Students experience a blended learning approach combining live online sessions with self-paced study and practical projects. The program includes hands-on experience with industry-standard tools, interactive tutorials, and real-world case studies.

University Experience

The learning environment combines virtual classroom sessions with practical workshops and optional campus immersion. Students gain access to IIT Delhi's expert faculty, industry professionals, and career support services including personal branding and job search strategy guidance.

About the University

Established in 1961, IIT Delhi is one of the premier engineering institutes in India and is recognized globally for its academic excellence and research contributions. Located in Hauz Khas, New Delhi, the institute offers undergraduate, postgraduate, and doctoral programs across various engineering and technology disciplines. IIT Delhi is known for its rigorous curriculum, state-of-the-art facilities, and strong industry connections.

8000

Total Students

600

Faculty Members

2

NIRF Overall Rank

Affiliation & Recognition

Ministry of Education, Government of India

Association of Indian Universities

National Board of Accreditation

Career services

The Career Development Services at IIT Delhi offer comprehensive support for placements through organized recruitment drives, workshops, and industry interactions. The placement process includes pre-placement talks, interviews, and extensive career guidance. In the latest placement season, IIT Delhi achieved a 100% placement rate with participation from numerous leading companies across various sectors.

100%

Placement Rate

20.5 LPA

Average Package

1.2 Crore

Highest Package

Course Start Date:
15th February 2025
Applications Deadline:
31st Dec, 2024
Duration:
6 Months

₹ 1,99,420

Add to compare

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Prof. Tanmoy

Rajiv Khemani Young Faculty Chair Professor in AI Associate Professor, Dept. of Electrical Engineering Associate Faculty Member, Yardi School of Artificial Intelligence Indian Institute of Technology Delhi, New Delhi, India

Prof. Tanmoy is an Associate Professor of Electrical Engineering and the Yardi School of AI at the Indian Institute of Technology (IIT) Delhi. He leads the Laboratory for Computational Social Systems (LCS2).

Prof. Rachit Chhaya

Assistant Professor Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar

Prof. Rachit  is currently an Assistant Professor at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar. He completed his PhD in Computer Science and Engineering at IIT Gandhinagar in 2022.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Prof. Tanmoy

Prof. Rachit Chhaya

Assistant Professor Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

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