Quantum Machine Learning and Quantum Deep Learning: Theory, Algorithms, and Applications [QCAI-2026] is a one-week online FDP/SDP designed for faculty members, researchers, professionals, and advanced learners who want to build a strong foundation in emerging quantum AI methods. Scheduled from 13th April to 18th April 2026, this live online program combines theory, algorithms, and practical applications in quantum computing, quantum machine learning (QML), and quantum deep learning. The course is led by Prof. (Dr.) Debabrata Datta, a retired nuclear scientist from Bhabha Atomic Research Centre and Joint Director-Research & Development & Professor in the Department of Information Technology at Heritage Institute of Technology, Kolkata. This program is structured to help participants understand the core principles of quantum computing, including qubits, superposition, entanglement, quantum gates, and quantum circuits, before advancing into modern quantum machine learning frameworks. The curriculum covers toy QML problems, feature vectors, data encoding, Hadamard operation, quantum measurement, noisy intermediate-scale quantum (NISQ) algorithms, quantum logistic regression, and key QML applications such as solving Burgers’ equation and classification of non-communicable diseases. The FDP/SDP also explores hybrid and variational quantum models, including variational quantum algorithms (VQA), variational quantum eigensolver (VQE), variational quantum circuits (VQC), least-squares SVM, quantum support vector machine (qSVM), and quantum neural networks (QNN). Participants will gain exposure to real-world use cases such as heart disease prediction, lung cancer detection, quantum clustering, quantum thermography, quantum simulated annealing, urban traffic optimization, and quantum deep learning models including quantum convolutional neural networks (QCNN), quantum recurrent networks, and time series analysis using quantum ARIMA. Because the topic is highly relevant to research, higher education, AI, data science, computational physics, and next-generation intelligent systems, this online program is especially valuable for institutions and professionals seeking to upskill in cutting-edge quantum technologies. The session includes dedicated Q&A time and is priced affordably at ₹500, making it accessible for academic and professional participants. This listing is best suited for B2B marketplace visibility under online faculty development program, academic training, and professional upskilling in quantum machine learning and quantum deep learning.

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