The Self-Driving Fundamentals: Featuring Apollo course on Udacity provides a comprehensive overview of the key components and concepts in self-driving cars. The course begins by introducing the Apollo team and architecture, followed by an in-depth exploration of high-definition maps and their role in the software stack. Students will then learn about localization techniques and practice mock interviews with Pramp. The course also covers perception tasks such as classification, detection, and segmentation, with a focus on convolutional neural networks. Students will study different methods for predicting the movements of other vehicles and pedestrians in self-driving cars. The planning section of the course explores various approaches used by Apollo to develop trajectories for autonomous vehicles. The control module teaches students how to execute planned trajectories using steering, throttle, and brake, and introduces different types of controllers. Upon completion of the course, students will receive suggestions for further learning to pursue a career in self-driving car engineering.