Advanced Certificate in Quantum Computing Algorithms AIML
IIT Roorkee's Advanced Certificate in Quantum Computing: Algorithms and AIML is a 6.5-month live online programme designed for professionals and graduates seeking to build expertise at the intersection of quantum technology and artificial intelligence. The curriculum spans quantum principles, algorithm design, quantum communications and networks, and quantum machine learning, with hands-on implementation using industry tools including Qiskit and PennyLane. A total of 310 learning hours are structured across live sessions, recorded content, assignments, capstone projects, and an optional campus immersion at IIT Roorkee. The programme is project-based and assessment-driven, requiring a minimum 50% overall score for certification. Learners develop practical fluency in quantum circuit implementation, hybrid learning models, and quantum ML applications. Faculty from IIT Roorkee guide participants through both foundational theory and applied problem-solving. This programme is suited for data scientists, IT and engineering professionals, researchers, and technology leaders who want to gain a rigorous, applied understanding of quantum computing and its integration with machine learning. Career support is embedded in the curriculum.
Instructors:
Sandeep Singh
Dr. Vishvendra Singh Poonia
English
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Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
6.5 Months
₹ 1,59,000
Overview
IIT Roorkee's Advanced Certificate in Quantum Computing: Algorithms and AIML is a 6.5-month live online programme that bridges quantum theory and real-world AI/ML application. Spanning 310 total learning hours, the programme is structured to deliver both academic rigour and hands-on proficiency through live sessions, recorded modules, capstone projects, and an optional one-day campus immersion at IIT Roorkee. Participants work with leading quantum computing tools including Qiskit and PennyLane and are guided by IIT Roorkee faculty and industry experts. The programme covers quantum principles, algorithm design and simulation, quantum communications and networks, quantum machine learning, and advanced quantum ML applications. An assessment framework combining MCQ exams, assignments, projects, and attendance ensures outcome-driven learning, with a minimum 50% score required for certification. Career support is embedded as a dedicated module within the curriculum.
Why Quantum Computing?
This programme is delivered by IIT Roorkee, one of India's premier technical institutions, bringing academic credibility and faculty expertise to an emerging and high-demand domain. The curriculum uniquely integrates quantum computing fundamentals with AI and ML applications, preparing learners for the convergence of these fields in sectors such as finance, healthcare, logistics, and cybersecurity. With 310 structured learning hours, live instruction from IIT Roorkee experts, project-based assessments, and access to tools like Qiskit and PennyLane, participants gain practical implementation capability alongside theoretical depth. The optional campus immersion provides direct institutional access. A 0% interest instalment payment plan and upfront payment discounts make this programme financially accessible for working professionals.
What does this course have to offer?
Key Highlights
6.5-month live online programme by IIT Roorkee faculty Total of 310 learning hours across live, recorded, and project-based formats Hands-on tools: Qiskit and PennyLane Covers quantum algorithms, QML, quantum communications, and quantum networks Capstone project with 30 dedicated hours Optional one-day campus immersion at IIT Roorkee Embedded career support module 0% interest instalment plan available Upfront payment discount of INR 9,000
Who is this programme for?
Individuals with a background in mathematics or programming interested in advanced computing Professionals in data science, analytics, or data-focused roles seeking to expand technical depth Researchers exploring intersections of quantum technology, AI, and machine learning IT and engineering graduates seeking domain-specific upskilling in quantum computing Technology leaders and strategists focused on evaluating and deploying future-centric systems Future-tech curious professionals with an interest in complex problem-solving and system-level innovation
Minimum Eligibility
Background in mathematics, programming, computing, or engineering Professionals in data-focused, IT, or technical roles Researchers and academicians exploring quantum and ML intersections Graduates from computing, mathematics, or engineering fields Technology leaders and innovators focused on future-centric systems Selection based on application review
Who is the programme for?
Admission to the IIT Roorkee Advanced Certificate in Quantum Computing: Algorithms and AIML is based on an application review process. Candidates choose the programme based on eligibility, complete the online application with accurate details, and pay an application fee of Rs 1,000 plus GST. The academic and admissions teams review the application, and shortlisted candidates receive a formal admission offer. Upon receiving the offer, candidates pay the course fee as per the instalment schedule and submit documents for enrolment verification before accessing the learning portal. Assessment is structured as follows: 60% weightage for the end-of-programme MCQ-based exam, 30% for assignments and projects, and 10% for attendance. Candidates must secure a minimum of 50% overall to be eligible for the certificate. The programme spans 310 total learning hours comprising 63 hours of live instruction, 83.5 hours of recorded content, over 127 hours of projects, assignments, and quizzes, 30 hours of capstone project work, and 6 hours of optional campus immersion.
Selection process
How to apply?
Curriculum
The curriculum is organised into pre-read modules followed by five core subject areas and a capstone component. Pre-read modules provide foundational orientation before the programme begins. The first core module, Introduction to Quantum Computing and Applications, establishes the principles of quantum mechanics and their computing implications. This is followed by Quantum Algorithms and Software, which covers the design, simulation, and implementation of key quantum algorithms using tools like Qiskit and PennyLane. The third module addresses Quantum Communications and Networks, exploring secure communication protocols and quantum network architectures. The fourth and fifth modules focus on Quantum Machine Learning and Quantum Machine Learning Applications, covering hybrid classical-quantum models and their real-world use in data-intensive sectors. The programme concludes with assignments, case studies, and a capstone project, along with a dedicated career support module.
There are 7 semesters in this course
The pre-read modules orient learners to the quantum computing landscape and set up foundational mathematical and programming concepts required for the programme. The Introduction to Quantum Computing and Applications module covers qubits, superposition, entanglement, quantum gates, and the practical sectors being transformed by quantum computing including finance, healthcare, and logistics. Quantum Algorithms and Software delves into landmark algorithms such as Shor's and Grover's, followed by hands-on implementation using Qiskit and PennyLane. Quantum Communications and Networks introduces quantum key distribution, BB84, quantum teleportation, and network security protocols. The Quantum Machine Learning module covers variational quantum circuits, quantum neural networks, and hybrid classical-quantum models. Quantum Machine Learning Applications extends this into practical use cases in optimisation, drug discovery, and financial modelling. Assignments, case studies, and the capstone project integrate all modules into a comprehensive applied solution, reinforced by a career support component that guides participants in positioning their quantum computing expertise.
Pre-read Modules
Introduction to Quantum Computing and Applications
Quantum Algorithms and Software
Quantum Communications and Networks
Quantum Machine Learning
Quantum Machine Learning Applications
Assignments, Case Studies, and Projects
Programme Length
6.5 months, delivered live online. Optional one-day campus immersion at IIT Roorkee at the end of the programme.
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
Sandeep Singh
Assistant Professor, Department of Electronics and Communication Engineering, IIT Roorkee
Dr. Sandeep Kumar Singh is an Assistant Professor in the Department of Electronics and Communication Engineering at the Indian Institute of Technology, Roorkee, India. His research interests include quantum networking, data centre networking, terahertz communication, resource allocation in optical networks, with a particular focus on stochastic analysis and learning methods, and the application of artificial intelligence in communication networks.
Dr. Vishvendra Singh Poonia
Assistant Professor Department of Electronics and Communication Engineering at IIT Roorkee.
Dr. Poonia is an Assistant Professor in the Department of Electronics and Communication Engineering at IIT Roorkee. His research interests include quantum computing, quantum biology and biometrics, quantum photocells, quantum random number generators, and nanoelectronics. He completed his Ph.D. from IIT Bombay and pursued postdoctoral research at the Weizmann Institute of Science, Isra
Tuition Fee
The programme fee is Rs 1,59,000 plus GST at 18%, bringing the total to Rs 1,87,620. An application fee of Rs 1,000 plus GST is payable at the time of application and is separate from the programme fee. The balance programme fee of Rs 1,58,000 plus GST is payable in four instalments: Rs 41,000 within 4 days of the offer letter or before programme start (whichever is earlier), and Rs 39,000 each within 30, 60, and 90 days of programme start respectively. A 0% interest payment plan is available. Learners who pay the full fee upfront within 7 days of the admission offer letter or before the programme start date receive a discount of Rs 9,000. All fees are managed by TimesPro and are non-refundable once the programme has commenced.
Fee Structure
Payment options
Financing options
Learning Experience
The programme is delivered in a live online format with Direct-to-Device access, enabling working professionals to participate without disrupting their schedules. Learning is structured across 63 hours of instructor-led live sessions, 83.5 hours of recorded content, and over 127 hours of project work, assignments, case studies, and quizzes. A 30-hour capstone project integrates all learning domains into a practical applied solution. Hands-on implementation is central to the learning experience, with participants working directly in Qiskit and PennyLane throughout the programme. Project-based assessments and MCQ examinations reinforce applied understanding. An optional one-day campus immersion at IIT Roorkee allows learners to interact directly with faculty. A dedicated career support module is included to help participants translate their quantum computing expertise into professional opportunities.
University Experience
IIT Roorkee is one of India's oldest and most prestigious technical institutions, with a strong legacy in engineering, computing, and applied science research. Participants in this programme benefit from faculty expertise in quantum computing and AI, institutional research connections, and access to IIT Roorkee's academic network. The optional campus immersion session provides a direct on-campus experience at one of India's flagship IITs. Upon successful completion, participants receive an Advanced Certificate from IIT Roorkee, a credential widely recognised across technology, research, and industry sectors. The certificate positions graduates as quantum-ready professionals, equipped to contribute to emerging roles in quantum software development, quantum-enhanced AI systems, and secure communications.
Testimonials
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About the University
Established in 1847, IIT Roorkee is one of the oldest engineering institutions in India and was designated as an Indian Institute of Technology in 2001. Located in Roorkee, Uttarakhand, it is recognized for its academic excellence and research contributions in engineering, science, and technology. IIT Roorkee offers a variety of undergraduate, postgraduate, and doctoral programs across multiple disciplines.
6
NIRF Ranking (2024)
335
QS World University Ranking (2024)
23
Number of academic departments
Affiliation & Recognition
Ministry of Education, Government of India
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National Board of Accreditation (NBA)
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International Association of Universities
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
Expert in Advanced Wireless Communication at IIT Roorkee"
Abhay Kumar Sah is an Assistant Professor at IIT Roorkee, specializing in advanced wireless communication. He teaches the course "Foundations of Advanced Wireless Communication," which covers essential concepts, techniques, and algorithms necessary for understanding and designing modern wireless communication systems. The course includes topics such as multi-antenna systems, MIMO (Multiple Input Multiple Output), massive MIMO for 5G, and various multiple access techniques like OFDM (Orthogonal Frequency Division Multiplexing) and NOMA (Non-Orthogonal Multiple Access).
Expert in Optimization and Mathematics
Dr. S. K. Gupta is currently an Associate Professor in the Department of Mathematics at IIT Roorkee, specializing in areas such as Support Vector Machines, Fuzzy Optimization, and Mathematical Programming, which encompasses duality theory, non-smooth and non-convex optimization, vector optimization, and variational inequalities. He earned his Ph.D. in Optimization Theory from IIT Roorkee in 2008. Throughout his career, Dr. Gupta has received several accolades, including the "Outstanding Teacher Award" at IIT Roorkee in 2018 and the "Best Teacher Award" at IIT Patna in 2010. He was also a gold medalist in MSc (Applied Mathematics) from IIT Roorkee in 2002. Having guided six PhD theses, he is currently supervising five more. Dr. Gupta has published over 55 research articles in reputable international journals and is an active member of the Operational Research Society of India, as well as a contributor to the Working Group on Generalized Convexity.
Career services
The Placement and Internship Cell at IIT Roorkee provides comprehensive support for students' career development. Services include career counseling, resume workshops, job fairs, and networking events with industry professionals. The cell also facilitates internships and co-op opportunities to enhance practical experience.
95%
Placement rate
₹12 LPA
Average salary offered to graduates
200+
Number of recruiters visiting annually
Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
6.5 Months
₹ 1,59,000
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.