This course is in an "early bird" release, and we're still updating and adding content to it, please keep in mind before enrolling that the course is not yet complete. "The future is already here – it's just not very evenly distributed." Have you ever wondered how Artificial Intelligence actually works? Do you want to be able to harness the power of neural networks and reinforcement learning to create intelligent agents that can solve tasks with human level complexity? This is the ultimate course online for learning how to use Python to harness the power of Neural Networks to create Artificially Intelligent agents! This course focuses on a practical approach that puts you in the driver's seat to actually build and create intelligent agents, instead of just showing you small toy examples like many other online courses.

Reinforcement learning is all about making robots adapt and learn about their environment on their own given only a simple reward function. It allows computers to learn how to excel at Atari and Pacman games and how to walk like we humans do. This article provides a well written implementation of Reinforcement Learning through Q learning, one of the most popular reinforcement learning methods in Python.