Quantum Machine Learning by Doing

This hands-on introductory course is designed to bridge the gap between classical machine learning and quantum computing, empowering you with the tools, theory, and practical insights to begin your journey into quantum machine learning (QML). Whether you're a curious learner, a data scientist, or a researcher exploring cutting-edge technologies, this course will guide you through the fundamental concepts of QML and how they can be applied to real-world problems. Through a combination of visualizations, interactive exercises, and hands-on assessments, you'll learn how quantum circuits perform computations, explore foundational quantum algorithms, and discover how quantum algorithms can be optimized for real-world applications such as classification, regression, image processing, and segmentation.

You'll also gain exclusive access to Ingenii's Python library for visualizing and optimizing quantum algorithms-designed to make quantum development more intuitive and accessible. By the end of the course, you'll have a solid understanding of quantum machine learning fundamentals and the skills to apply them to practical, impactful challenges. Expanding on our original QML Fundamentals and Medical Imaging courses, and inspired by the learning methods in our upcoming Quantum Hub development resource, this Udemy course combines six, in-depth, application-focused chapters into a complete introductory QML course.

Join over 600 data scientists, students, and educators who have already started their Quantum Machine Learning journey.