This course offers a comprehensive understanding of autonomous vehicle technologies, covering key concepts such as classifications, levels of autonomy, sensor systems, perception, and AI-driven decision-making, as well as guidance, navigation, and control. Students will explore sensor technologies like LiDAR, radar, cameras, IMUs, and GPS, along with sensor fusion techniques for precise environmental perception. The curriculum also covers path planning, trajectory generation, SLAM, and localization methods. Emphasizing safety, cybersecurity, and human factors in autonomous systems, the course includes topics like trust, human-computer interaction, and fail-safe mechanisms. By the end, students will have a well-rounded understanding of the design, development, and societal impact of autonomous vehicles across various industries.