Quantum Machine Learning with Qiskit is a basic-to-intermediate-level course designed to introduce students to the fundamentals of Quantum Machine Learning using Python and Qiskit. The course covers classical machine learning concepts, quantum computing fundamentals, data encoding, quantum feature maps, variational quantum circuits, quantum classification, quantum kernels, Quantum SVM, hybrid quantum-classical machine learning, and model evaluation. Students will complete hands-on labs, a mini-project, and a final QML capstone project.