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Programme in Machine Learning and Deep Learning

The Certificate Programme in Machine Learning and Deep Learning from IIT Delhi offers in-depth training in ML/DL methodologies and their practical applications. This 6-month program covers Python programming, mathematical foundations, neural networks, and advanced deep learning architectures.

4.5

English

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  • Course Start Date:

    Starting Soon

  • Application Deadline:

    To be announced

  • Duration:

    6 Months

1,99,420

Overview

The Certificate Programme in Machine Learning and Deep Learning offers comprehensive training in ML/DL methodologies and applications. This 6-month program combines theoretical foundations with practical implementation through 182 hours of learning experience.

Why Technology & Analytics?

This program distinguishes itself through comprehensive coverage of both ML and DL, featuring hands-on projects and masterclasses on ChatGPT. Students benefit from extensive practical training and access to industry-standard tools.

What does this course have to offer?

Key Highlights

  • 76 hours live online sessions

  • 76 hours self-paced learning

  • 20 hours capstone project

  • 4-6 hours ChatGPT masterclasses

  • 6 hours campus immersion

  • Industry expert sessions

  • Custom project options

Who is this programme for?

  • Science/engineering graduates

  • Software professionals

  • IT industry professionals

  • Data engineers

  • Data scientists

  • ML engineers

Minimum Eligibility

  • Bachelor's degree in any discipline

  • Diploma holders with 3 years work experience

  • Selected through application review

Who is the programme for?

The program features continuous assessment including end-of-program exam (50%), assignments/quizzes (20%), capstone project (20%), and attendance (10%). Minimum 50% marks and 50% attendance required for completion certificate.

Here's a Glimpse of Your Degree

Sample Degree Certificate

*Disclaimer: The image is for illustrative purposes only and may be subject to change at the discretion of Management.

Selection process

How to apply?

Curriculum

The curriculum spans ten comprehensive modules covering Python fundamentals, mathematical foundations, ML algorithms, neural networks, deep learning architectures, computer vision, speech recognition, and NLP. Includes hands-on projects and industry case studies.

There are 11 semesters in this course

The program curriculum progresses through ten modules starting with Python programming and advancing to specialized topics in deep learning. Key areas include neural networks, CNNs, RNNs, generative models, and transformer architectures. Each module combines theoretical principles with practical implementation.

Module 1: Fundamentals of Python for Machine Learning

Module 2: Data Processing for Machine Learning

Module 3: Mathematical Foundations for Machine Learning

Module 4: Artificial Intelligence Terminologies and Data Analysis

Module 5: Fundamentals of Machine Learning and Algorithms

Module 6: Neural Networks

Module 7: Fundamentals of Deep Learning, Architectures and Recent Advances

Module 8: Computer Vision

Module 9: Speech Recognition

Module 10: Natural Language Processing

Capstone Project

Programme Length

6 months comprising 182 total hours: 76 hours live sessions, 76 hours self-paced learning, 20 hours capstone project, 4-6 hours ChatGPT masterclasses, and 6 hours optional campus immersion.

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

Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi

Dr. Manav Bhatnagar is currently a Professor with the Department of Electrical Engineering, IIT Delhi, New Delhi, India, where he is also a Brigadier Bhopinder Singh Chair Professor. He holds a global rank of 517 in the area of Networking.

Associate Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi

Dr. Tanmoy Chakraborty holds the positions of Associate Professor of Electrical Engineering and Associate Faculty of the Yardi School of AI at IIT Delhi. Previously, he served as an Associate Professor of Computer Science at IIIT Delhi.

Tuition Fee

Program fee ₹1,69,000 plus GST (₹30,420), totaling ₹1,99,420. Three installments: ₹69,000, ₹45,000, and ₹45,000 after initial ₹10,000 registration fee. EMI options available.

Fee Structure

Payment options

Learning Experience

Students experience a comprehensive learning approach combining live online sessions with self-paced study and practical projects. The program includes hands-on experience with TensorFlow, Keras, and other industry-standard tools.

University Experience

The learning environment integrates virtual classrooms with optional campus immersion at IIT Delhi. Students gain access to advanced development tools, expert faculty guidance, and networking opportunities with industry professionals.

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.

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About the University

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

Ministry of Education, Government of India

Association of Indian Universities

Association of Indian Universities

National Board of Accreditation

National Board of Accreditation

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

Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi

Dr. Manav Bhatnagar is currently a Professor with the Department of Electrical Engineering, IIT Delhi, New Delhi, India, where he is also a Brigadier Bhopinder Singh Chair Professor. He holds a global rank of 517 in the area of Networking.

Associate Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi

Dr. Tanmoy Chakraborty holds the positions of Associate Professor of Electrical Engineering and Associate Faculty of the Yardi School of AI at IIT Delhi. Previously, he served as an Associate Professor of Computer Science at IIIT Delhi.

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

Degree Course Image
  • Course Start Date:

    Starting Soon

  • Application Deadline:

    To be announced

  • Duration:

    6 Months

1,99,420

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.