Quantum Computing and ML Certificate - IIT Delhi

A 6-month certification program providing advanced training in quantum computing and machine learning. Features hands-on programming, real-world projects, and industry applications.

4.5

Instructors:

Dr. Abhishek Dixit

English

Course Start Date:
Next Batch starting Soon
Applications Deadline:
Next Batch starting Soon
Duration:
6-6 Months

₹ 1,79,000

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Overview

The program provides comprehensive training in quantum computing and machine learning, combining theoretical foundations with practical implementation using Qiskit. Features expert instruction from IIT Delhi faculty.

Why Technology & Analytics?

This program distinguishes itself through its focus on practical applications, featuring quantum algorithm implementation, real-world projects, and hands-on programming experience. Includes career support and industry insights.

What does this course have to offer?

Key Highlights

Six-month intensive program
One-day optional campus visit
Live tutorials/labs
Qiskit programming
Industry projects
Career support
Doubt clearing sessions
Peer learning

Who is this programme for?

Quantum software developers
ML engineers
Quantum data scientists
Quantum consultants
Researchers
Technology professionals

Minimum Eligibility

Graduate/Postgraduate in Science
Engineering or Business
Proficiency in analytics
Basic programming knowledge

Who is the programme for?

Selection based on application review. Open to graduates/postgraduates in Science, Technology, Engineering, or Mathematical Sciences.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum spans seven modules covering quantum computing fundamentals to advanced applications. Features extensive project work and practical implementation using Qiskit.

There are 9 semesters in this course

100 hours total learning: 45 hours live sessions, 10 hours tutorials/labs, 45 hours self-paced, and 6 hours optional campus immersion.

Module 1: Introduction to Quantum Computing

Module 2: Postulates of Quantum Computing

Module 3: Introduction to Quantum Algorithms

Module 4: Quantum Fourier Transform

Module 5: Quantum Machine Learning

Module 6: Quantum Deep Learning

Module 7: Quantum Variational Optimization

Module 8: Tools

Module 9: Projects

Programme Length

Six-month program with direct-to-device delivery. Optional one-day campus immersion at IIT Delhi for enhanced learning.

Tuition Fee

The IIT Delhi Quantum Computing and Machine Learning Certificate program costs ₹1,79,000 plus 18% GST, totaling ₹2,11,220. It includes 6 months of training, live sessions, Qiskit programming, industry projects, and career support, with flexible installment payment options.

Fee Structure

Payment options

Learning Experience

Students experience interactive learning through live sessions, tutorials, and lab practice. Features hands-on programming and real-world project implementation.

University Experience

IIT Delhi provides comprehensive support through their Bharti School of Telecommunication Technology. Additional career support through TimesPro including personal branding and interview preparation.

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:
Next Batch starting Soon
Applications Deadline:
Next Batch starting Soon
Duration:
6-6 Months

₹ 1,79,000

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.

Instructor

Dr. Abhishek Dixit

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

Dr. Abhishek Dixit received his M.Tech. degree in Opto-electronics and Optical Communication from the Indian Institute of Technology (IIT) Delhi in 2010 and his Ph.D. degree in Computer Science Engineering

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.

Instructor

Dr. Abhishek Dixit

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

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.

What is the duration?

What are the eligibility criteria?

What tools are used?