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
BE/BTech in any stream or
BSc/MSc in Electronics or
Diploma in Electrical/Electronics
Relevant work experience
Not sure whether you qualify for this programme?
Admission Overview
Selection based on application review. Open to graduates/postgraduates in Science, Technology, Engineering, or Mathematical Sciences.
Here's a Glimpse of Your Degree

*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 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.
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.
Tuition Fee
The IIT Delhi Quantum Computing and Machine Learning Certificate program costs ₹2,11,220 with 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
Need help understanding fees, EMI options, or scholarships?
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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
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
400+
Total Recruiters Participated
₹ 2,11,220
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.


