All Courses

• Reinforcement Learning

  Are you ready to explore the world of reinforcement learning (RL) and discover how intelligent systems make decisions?

  This course will guide you from the fundamentals of RL—where agents learn and improve their behavior—right through to advanced, powerful techniques that drive real-world AI. You won’t just learn the “how” but also the “why” behind methods like Deep Q-Learning (DQN), Proximal Policy Optimization (PPO), and Actor-Critic models. These skills will let you create agents that can master games, navigate environments, and respond to changing surroundings.

  With hands-on coding in PyTorch, you’ll apply these skills directly—building agents to balance poles, land lunar modules, and tackle real-time interactive challenges. By the end, you’ll have the confidence and knowledge to design, improve, and deploy your own intelligent agents.

  Start this journey and unlock the potential to create smart, adaptable agents through the power of reinforcement learning!

• Introduction to ROS2

  Welcome to "ROS2: Advanced Robotics Framework"!

  This course is designed to help you master ROS2, the next-generation Robot Operating System. You’ll explore its improved performance, real-time capabilities, and robust communication frameworks. Learn to set up ROS2 environments, develop nodes, and use middleware for efficient inter-process communication. Hands-on projects will introduce you to advanced features like action servers, lifecycle management, and parameter handling.

  We'll cover integration with C++ and Python, equipping you to develop sophisticated robotic systems. By the end, you'll be ready to build and manage complex robotics using ROS2.

  Let’s get ready to explore the future of robotics with ROS2!