Dive into RL with this comprehensive course, covering fundamentals where agents learn and improve, up to advanced techniques like Deep Q-Learning (DQN), Proximal Policy Optimization (PPO), and Actor-Critic models. Understand not just the "how" but also the "why" behind these methods.

Gain hands-on experience using PyTorch to build agents that can master games, navigate environments, and handle real-time challenges such as balancing poles and landing lunar modules. By the end, you'll be equipped to design, enhance, and deploy your own intelligent agents confidently.

Welcome to ROS2: Advanced Robotics Framework!

Master ROS2's real-time capabilities, robust communication, and advanced features like action servers and lifecycle management through hands-on projects.

This course equips you to build and manage complex robotic systems using C++ and Python, paving the way for innovation in modern robotics.