Dr. Faryad will help you build real quantum ML systems

An excellent course that connects quantum computing and machine learning in a clear, structured way. The sessions build intuition step by step, with practical insights into QML concepts like kernels, QNNs, and noise. Highly recommended for ML engineers looking to explore quantum-enhanced techniques.

Dear Professor Faryad, I would like to sincerely thank you for offering the course on Quantum Machine Learning. I find the course extremely interesting, well organized, and very inspiring.

This is a highly consolidated and well-structured course that covers the essential concepts of Quantum Machine Learning with excellent depth and clarity. Despite spanning only five weeks with ten lectures, sufficient time was devoted to each topic to build a strong conceptual foundation. A particularly commendable aspect of the course was its accessibility to participants with limited background in either Classical Machine Learning or Quantum Computing. The instructor systematically developed the subject from fundamental principles to advanced concepts through a rigorous mathematical and coding-based approach. Topics such as data encoding, feature maps, quantum kernel methods, and quantum neural networks were thoroughly covered. Additional discussions on noise simulation and QAOA further broadened the learning experience beyond core QML topics. The practical component was especially valuable. All codes were explained in detail during the live sessions, and QML models were implemented on real datasets, providing meaningful hands-on experience with real-world applications. The sessions were highly interactive, making attendance in the live lectures especially worthwhile. The instructor is exceptionally knowledgeable and well-versed in the field, handling all questions with clarity and depth while remaining highly responsive even beyond lecture hours. Dedicated Q&A and discussion sessions further enriched the learning experience. In addition, the lecture notes, code implementations, and recorded sessions together provide a comprehensive resource for future QML projects and research. Moreover, the research-oriented projects proposed during the course offered valuable direction for further exploration in the field.

This course was thoughtfully designed and covered a wide range of topics within the quantum machine learning (QML) space. The professor demonstrated deep expertise and explained complex concepts clearly, making the material both accessible and engaging. I gained valuable insights throughout the course and walked away with a much stronger understanding of QML. I highly recommend this course to anyone looking to deepen their knowledge in this field.

Dr. Faryad is an exceptional teacher. His sessions are always interactive, informative, and easy to follow, especially given the technical nature of the course. I really appreciate how he takes the time to answer every question properly and makes sure everyone is on the same page. He also adapts the class to your priorities and level of experience, which makes the learning feel much more useful and personal.