One of the most exciting areas of AI education is teaching students how to develop autonomous vehicles. Self-driving cars and drones rely on AI models that process data from multiple sensors and cameras.
Students work on:
Reinforcement learning – allowing AI to improve driving skills through trial and error.
Path planning algorithms – helping vehicles navigate efficiently.
Sensor fusion – combining data from GPS, LIDAR, and cameras for accurate decision-making.
Many universities collaborate with companies like Tesla, Waymo, and DJI to give students real-world experience in autonomous navigation.