This practical course bridges the gap between machine learning and robotics, providing participants with hands-on experience building intelligent robotic systems. Key focus areas include Vision-Based Deep Learning, supervised learning, imitation learning, reinforcement learning (RL), Robot Programming, and Simulation.

This course equips participants with the practical knowledge and tools to design, train, and deploy machine learning models tailored for robotics. It is perfect for those looking to innovate in the field of autonomous systems!