This course, part of IBM’s Summer School program, introduces the concepts of quantum machine learning and their implementation using the Qiskit library. Throughout the course, learners explore the main ideas of the field, how machine learning methods can be combined with quantum circuits and algorithms, and several practical applications. It is suitable for learners with a basic understanding of quantum computing and machine learning who want to gain more hands-on experience with quantum machine learning in Qiskit.