This course on Udacity, AI for Healthcare, covers various applications of artificial intelligence in the healthcare field. The course focuses on different types of medical imaging data, such as x-ray, mammography, and digital pathology, and teaches students how to extract and analyze 2D images from DICOM files. Students will also learn how to build AI models for different clinical scenarios involving 2D images and understand the process of obtaining regulatory approval for these tools. Additionally, the course covers the use of AI in 3D medical imaging datasets, including the acquisition, storage, and analysis of these images. Students will learn how clinicians utilize 3D medical images and explore the potential of AI in this context. The course also delves into working with electronic health record (EHR) data, covering privacy and security standards, analysis techniques, and industry code sets. Finally, students will learn how to process data collected by wearable devices and use AI algorithms to derive insights about the wearer's health. The course covers sensor and signal processing foundations, including IMU, PPG, and ECG, and provides hands-on experience building algorithms using real-world sensor data.