IIT Roorkee introduces online certificate program in quantum computing and AI/ML

The Indian Institute of Technology Roorkee (IIT Roorkee) has introduced a new online program titled “Advanced Certificate in Quantum Computing: Algorithms and AI/ML,” aimed at preparing professionals for the rapidly growing quantum technology industry.

Offered through the Continuing Education Centre (CEC) in collaboration with TimesPro, the 6.5-month course combines theoretical learning with practical training using platforms such as Qiskit, PennyLane, and IBM Quantum Systems.

It focuses on equipping participants with the technical expertise needed to design and deploy quantum solutions across industries.

The curriculum covers topics such as quantum algorithms, communication, and machine learning, with real-world applications in finance, healthcare, optimization, image classification, and drug discovery.

Participants will also gain hands-on experience with IBM and D-Wave quantum systems to simulate and implement practical use cases.

Prof Kaushik Ghosh, Coordinator, CEC, IIT Roorkee, said, “We designed this program to bridge theory and deployment. Participants will code, simulate, and benchmark quantum algorithms while leveraging AI/ML methods where quantum advantage is emerging.”

“By integrating real hardware access and production-grade tools, we enable professionals to move from prototypes to pilots in data-intensive sectors such as security, optimization, and healthcare,” Ghosh added.

The five-module structure includes:

1. Introduction to Quantum Computing and Applications
2. Quantum Algorithms and Software
3. Quantum Communications and Networks
4. Quantum Machine Learning
5. Quantum Machine Learning Applications

Learners will work with Shor’s, Grover’s, and Simon’s algorithms, implement Quantum Key Distribution (QKD) protocols, and explore advanced quantum machine learning models such as QSVMs, QNNs, and Quantum GANs.

Graduates of the program will be prepared for roles such as Quantum Software Developer, Quantum Data Scientist, Quantum Machine Learning Engineer, AI Product Developer, and Security Analyst.

The launch aligns with the global rise of quantum computing, a market valued at $1.42 billion in 2024 and projected to reach $4.24 billion by 2030, growing at 20.5% annually, driven by increasing public investment and private-sector innovation.