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Executive IIT 🧑‍💻 For Working Professionals ✦︎ AI-First

Executive Programme for Quantum in ML & AI Systems

Indian Institute of Technology Delhi (IIT Delhi)
Indian Institute of Technology Delhi (IIT Delhi)
Duration

6 Months

Type

Executive

Mode

Online

₹1,30,000

Total Program Fees

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Program Overview

The Executive Programme for Quantum in ML & AI Systems is designed for professionals, engineers and researchers seeking to explore the convergence of quantum computing and artificial intelligence. The programme combines quantum foundations, machine learning architectures, optimisation and hybrid quantum-classical systems with simulation-based learning. Participants develop practical capabilities to design, test and evaluate quantum-enhanced intelligent systems.

Program Highlights

Build a strong foundation in quantum computing, quantum information science and machine learning.
Gain hands-on exposure to Qiskit, PennyLane, D-Wave simulators, PyTorch, TensorFlow and VisualQuantum.
Explore quantum kernels, variational circuits, generative models, optimisation and hybrid quantum-classical workflows.
Apply concepts through case studies, simulation-based exercises and an end-to-end capstone project.
Participate in a one-day IIT Delhi campus immersion and earn an e-Certificate from CEP, IIT Delhi upon successful completion.

Curriculum

Module 0: Pre-course / Bridge Module
  • Vector spaces, eigenvalues, SVD, tensor operations
  • Random variables, distributions, expectation, covariance
  • Bayesian inference and estimation
  • Supervised vs unsupervised ML, bias–variance trade-off
  • Optimization basics (gradient descent, convexity)
  • Case Study: Classical-to-Quantum Readiness Assessment
Module I: Quantum AI Systems Foundations
  • Quantum states, Hilbert spaces, operators
  • Single- and multi-qubit gates
  • Quantum circuits and measurement theory
  • Noise models and decoherence
  • Data encoding: angle, amplitude, basis encoding
  • Variational Quantum Circuits (VQCs)
  • Hybrid quantum–classical training loops
  • Case Study: Quantum Feature Encoding for Multimodal Data
Module II: Quantum ML for Scalable Intelligence
  • Quantum kernels and kernel alignment
  • QSVM architectures
  • Quantum generative models (QGAN, QVAE, QBM)
  • Quantum diffusion concepts
  • Quantum vision models
  • Quantum RNNs, LSTMs, and Transformers
  • Circuit pruning and parameter reduction
  • Hardware-aware circuit compilation
  • Case Study: Quantum Kernel Advantage in Classification
Module III: Quantum Optimization & Decision Systems
  • Combinatorial optimization basics
  • QUBO and Ising formulations
  • QAOA architecture and parameter optimization
  • Constraint handling in quantum optimization
  • Quantum annealing principles
  • Case Study: Resource Allocation via QAOA
Module IV: Secure & Deployable Quantum-AI Systems
  • Hybrid quantum-classical learning workflows
  • Quantum hardware and noise considerations
  • Model performance and evaluation
  • Security, privacy, and trust in quantum-AI systems
  • Real-world applications and deployment challenges
  • Case Study: Federated Quantum Learning for Sensitive Data
Capstone Project: Description
  • Participants work on an end-to-end quantum AI problem integrating encoding, learning, optimization, and deployment considerations.
  • Example Capstone Themes: Quantum-inspired multimodal perception systems
  • Example Capstone Themes: Quantum optimization for healthcare or logistics
  • Example Capstone Themes: Secure federated quantum ML architectures

Learning Outcomes

1
Interpret core quantum concepts including superposition, entanglement, measurement and noise within intelligent systems.
2
Construct and evaluate quantum circuits, feature maps, kernels and quantum-enhanced machine learning models.
3
Translate classification, optimisation and modelling problems into quantum-ready representations.
4
Design hybrid quantum-classical systems by integrating quantum operations with established ML frameworks.
5
Analyse simulator outputs and apply quantum approaches to emerging use cases in optimisation, analytics and intelligent systems.

Eligibility Criteria

Graduation in any of these disciplines: B.Tech/BE; BCA/MCA; B.Sc/M. Sc. in all streams; BA/MA in mathematics

Fees & Financing

Program Fee

One-time

₹1,30,000

Total

₹1,30,000

Total Program Fees

1 year · all components included

₹1,30,000

💰 EMI Options Available

Starting from ₹10,833/month with 0% interest for first 6 months. Partner banks: HDFC, ICICI, Axis Bank.

About Indian Institute of Technology Delhi (IIT Delhi)

Indian Institute of Technology Delhi (IIT Delhi)

Indian Institute of Technology Delhi (IIT Delhi)

Established in 1961 as an Institute of National Importance, the Indian Institute of Technology Delhi (IIT Delhi) is one of India's premier institutions for engineering, technology and research. Renowned for its academic excellence, innovation and global collaborations, the institute fosters interdisciplinary learning and industry-driven research. IIT Delhi is committed to developing future-ready professionals and leaders capable of driving technological advancement and societal impact.

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Frequently Asked Questions

What is this programme about?
It introduces participants to the combined domains of quantum computing and machine learning, teaching both foundational theory and practical application for intelligent systems.
Who is this programme ideal for?
Professionals, technologists, researchers, and graduates who want to deepen their competence in quantum artificial intelligence and explore its applications in complex system design and optimisation.
Do I need prior knowledge of quantum computing?
No. The curriculum begins with core quantum concepts and systematically builds up to advanced topics within the context of quantum machine learning.
Will this programme cover practical tools?
Yes. Participants gain hands-on exposure to tools such as Qiskit, PennyLane, D-Wave simulators, hybrid PyTorch/TensorFlow workflows, and interactive platforms like VisualQuantum.
How will evaluations be conducted?
Learners are assessed through quizzes, projects, and practical assignments designed to measure understanding of both conceptual and applied aspects of quantum computing and artificial intelligence.

Program Details

Duration 6 Months
Mode Online
Fees ₹1,30,000

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