The Advanced Driver Assistance Systems (ADAS) self-paced course offers a comprehensive introduction to the technologies and engineering principles behind modern vehicle safety and automation systems. Designed for automotive engineers, electronics professionals, and technology enthusiasts, this course explores the architecture, components, and algorithms that enable systems such as adaptive cruise control, lane-keeping assist, automatic emergency braking, and blind-spot detection. Learners will gain insight into sensor technologies including radar, lidar, ultrasonic, and camera systems, as well as the sensor fusion techniques used to create a unified perception of the driving environment. The course also covers real-time data processing, object detection, decision-making algorithms, and vehicle-to-everything (V2X) communication. Through case studies, simulations, and system-level overviews, participants will understand the integration of ADAS into vehicle platforms and its role in the progression toward autonomous driving. By the end of the course, learners will be equipped with the knowledge needed to contribute to the design, development, and evaluation of intelligent vehicle safety systems.