This course consists of four parts: 1) present AI history, concept, and models, 2) present a system approach of problem-solving using AI, 3) present and discuss existing AI applications, including their use, benefits, performance matrix and annotation data for training and validation, and 4) present complete solutions of AI applications. This course combines conventional teaching and case studies.