IIT Kanpur Advanced Certificate Programme in Quantum Computing & Machine Learning Course
Last date of Admission : 15 November 2026
IIT Kanpur Advanced Certificate Programme in Quantum Computing & Machine Learning Course
Last date of Admission : 15 November 2026
Dive deep into Quantum Computing Fundamentals
Learn Anywhere, Anytime
Receive Direct Guidance from Expert Faculty
Get Executive Alumni Status from IIT Kanpur
About IIT Kanpur Quantum Computing & Machine Learning
IIT Kanpur is one of the IITs established in 1959 by the Government of India. In addition to its academic courses, IIT Kanpur has established a dedicated E&ICT Academy for learners. Through this academy, the institute invites working professionals to enroll in the programmes.
One of the courses, the Advanced Certificate Programme in Quantum Computing & Machine Learning, is offered through E&ICT Academy. As the name suggests, this programme from IIT Kanpur focuses on two emerging areas of computing: quantum computing and machine learning. In this eight-month learning program, learners dive into advanced concepts through live lessons, coding labs, and Case studies.
Eligibility Criteria for IIT Kanpur Quantum Computing & Machine Learning
The eligibility criteria may vary across IIT Roorkee executive and certificate programmes.
Academic Qualifications
Working professionals or students who want to enroll in this programme must have completed their graduation.
Key Highlights of IIT Kanpur Quantum Computing & Machine Learning
Students should know that there are several factors behind the non-approval of BTech in Distance Education. The reasons below explain why BTech Distance Education is not recognised in India.
Advanced Computing Concepts
Through this Quantum Computing Course from IIT Kanpur, students learn quantum information and machine learning. These are two important areas of modern computing and their potential applications.
Online Learning Format
IIT Kanpur programme follows an online format. Learners can access the course without attending regular in-person classes. The faculty also conduct live sessions and other learning activities.
Structured Learning Experience
This eight-month programme is divided into 15 different modules for the ease of learners. provides a structured learning journey for those who want to build their understanding of quantum computing and machine learning.
Emerging Technology Skills
Quantum computing and machine learning are relevant to several areas of advanced computing and research. Studying these subjects can help learners understand new approaches to computational problems and data-driven applications.
IIT Kanpur ACP in Quantum Computing & Machine Learning Course
Candidates who meet the eligibility criteria and successfully complete their program will receive the respective program certificate from IIT Kanpur, along with the applicable alumni status. The certificate reflects their learning and course completion.
IIT Kanpur Quantum Computing & Machine Learning Curriculum
| Module | Learning Outcomes |
|---|---|
| Foundations of Quantum Computing | Students learn the basic principles of quantum computing and how it differs from classical computing. The module introduces key concepts that form the foundation for advanced quantum topics. |
| Mathematics for Quantum Computing | This module covers the mathematical concepts required to understand quantum computing. Students build familiarity with linear algebra, vectors, matrices, and other relevant mathematical tools. |
| Quantum Mechanics for Computing | Students explore the principles of quantum mechanics that make quantum computing possible. The module introduces concepts such as superposition, entanglement, and measurement. |
| Quantum Gates & Circuits | Students learn how quantum gates operate on qubits and how to combine them to create quantum circuits. The module introduces the basic structure of quantum computations. |
| Quantum Programming with Qiskit | Students gain an introduction to quantum programming using Qiskit. They learn how to build quantum circuits and understand how quantum programs can be simulated and executed. |
| Quantum Algorithms | This module introduces quantum algorithms and explains how they approach computational problems. Students explore how quantum methods can offer advantages for selected tasks over classical approaches. |
| Quantum Optimization | Students learn how quantum computing techniques can be applied to optimization problems. The module introduces approaches for exploring potential solutions to complex computational challenges. |
| Quantum Machine Learning Foundations Theory | Students explore the theoretical foundations of quantum machine learning and how quantum computing can support learning tasks. The module connects quantum principles with core machine learning concepts. |
| Quantum Neural Networks | This module introduces quantum neural networks and their underlying concepts. Students learn how quantum circuits can be used to develop models for machine learning applications. |
| Quantum AI & Generative Models | Students explore the relationship between quantum computing, artificial intelligence, and generative models. The module introduces emerging approaches to using quantum techniques in AI-related applications. |
| Quantum Cryptography & Security | Students learn how quantum principles can support secure communication and cryptographic applications. The module introduces quantum cryptography concepts and their relevance to information security. |
| Quantum Cloud Platforms | This module introduces cloud-based platforms that provide access to quantum computing resources. Students learn how these platforms support quantum circuit development, simulation, and experimentation. |
| Industry Application of Quantum Computing | Students explore potential applications of quantum computing across different industries. The module connects quantum computing concepts with practical challenges in business, technology, and research. |
| Emerging Quantum Technologies | Students learn about developing technologies and recent advances in the quantum computing ecosystem. The module introduces emerging possibilities and their potential impact on future computing applications. |
| Capstone Project | Students apply the concepts learned throughout the programme to a project related to quantum computing or machine learning. This provides an opportunity to connect theoretical knowledge with practical problem-solving. |
IIT Kanpur Quantum Computing & Machine Learning Fees
The fee for the IIT Kanpur Advanced Certificate Programme in Quantum Computing & Machine Learning is ₹80,000. Candidates must also pay ₹500 at the time of registration. The campus immersion option costs extra, and its fee is not included in the total cost.
Students can choose to pay in installments.
Who Can Pursue IIT Kanpur Quantum Computing & Machine Learning?
Engineering Graduates
Those looking to expand their understanding of advanced computing concepts beyond their existing academic background.
Technology Professionals
Professionals interested in learning about quantum computing and machine learning and their potential applications.
Computer Science Learners
Those who want to strengthen their understanding of new developments in computing.
Aspiring Researchers
Learners interested in exploring the concepts that underpin quantum technologies and machine learning.
Career Switchers
Individuals considering a move towards technology-oriented fields who want to understand these subjects before choosing a suitable learning or career path.
Career Outcomes of IIT Kanpur Quantum Computing & Machine Learning
Quantum Computing Knowledge
Understand the fundamental concepts behind quantum computing and its potential uses.
Advanced Computing Awareness
Develop an understanding of emerging technologies and their relevance to research and industry.
Machine Learning Skills
Build familiarity with machine learning concepts and their role in computational applications.
Technical Development
Use the programme as a starting point for further study and practical skill development in related fields.
IIT Kanpur Online Application Process
Submit the enquiry form
Fill in your details and programme preference.
Select your preferred programme
Choose the course that matches your learning goals.
Submit documents
Share the required details and documents to proceed. Candidates may have to attend an interview if required.
Complete onboarding
Finish the onboarding formalities if required by the institute.
Get expert counselling
Speak with a programme advisor for guidance.
Pay the preliminary fee
Complete the required fee payment to initiate the admission process.
Receive your offer letter and confirm participation
Students will receive an offer letter. They have to confirm their participation in the program.
Begin your programme
Start learning as per the scheduled program date.
Submit the enquiry form
Fill in your details and programme preference.
Get expert counselling
Speak with a programme advisor for guidance.
Select your preferred programme
Choose the course that matches your learning goals.
Pay the preliminary fee
Complete the required fee payment to initiate the admission process.
Submit documents
Share the required details and documents to proceed. Candidates may have to attend an interview if required.
Receive your offer letter and confirm participation
Students will receive an offer letter. They have to confirm their participation in the program.
Complete onboarding
Finish the onboarding formalities if required by the institute.
Begin your programme
Start learning as per the scheduled program date.
Frequently Asked Questions
Q1. What is Quantum Machine Learning?
Quantum Machine Learning combines quantum computing with machine learning to explore new ways to process data and solve complex computational problems. It uses quantum algorithms and techniques to support machine learning tasks and develop new approaches to data analysis.
Q2. Who offers the Quantum Computing & Machine Learning programme?
The programme is associated with E&ICT Academy and offered by IIT Kanpur. Individuals who have completed their graduation and wish to pursue a higher academic certificate can enroll in this course.
Q3. What topics are covered in the programme?
The course covers quantum algorithms, optimization, quantum machine learning, neural networks, generative models, cryptography, cloud platforms, industry applications, emerging technologies, and a capstone project.
Q4. What is the fee for IIT Kanpur Quantum Computing & Machine Learning?
The fee for IIT Kanpur ACP Quantum Computing & Machine Learning is ₹80,000. Campus immersion will be charged separately.