• Deep learning fundamentals and applications in autonomous driving

  • Key perception tasks: object detection, classification, segmentation, depth estimation

  • Overview of deep learning frameworks

  • Introduction to Jetson Nano and setting up the development environment

  • Python libraries for deep learning (NumPy, Pandas)