Artificial Intelligence for Simple Games

Ever wish you could harness the power of Deep Learning and Machine Learning to craft intelligent bots built for gaming?

If you’re looking for a creative way to dive into Artificial Intelligence, then ’Artificial Intelligence for Simple Games’ is your key to building lasting knowledge.

Learn and test your AI knowledge of fundamental DL and ML algorithms using the fun and flexible environment of simple games such as Snake, the Travelling Salesman problem, mazes and more.

1. Whether you’re an absolute beginner or seasoned Machine Learning expert, this course provides a solid foundation of the basic and advanced concepts you need to build AI within a gaming environment and beyond.

2. Key algorithms and concepts covered in this course include: Genetic Algorithms, Q–Learning, Deep Q–Learning with both Artificial Neural Networks and Convolutional Neural Networks.

3. Dive into SuperDataScience’s much–loved, interactive learning environment designed to build knowledge and intuition gradually with practical, yet challenging case studies.

4. Code flexibility means that students will be able to experiment with different game scenarios and easily apply their learning to business problems outside of the gaming industry.

’AI for Simple Games’ Curriculum

Section #1 — Dive into Genetic Algorithms by applying the famous Travelling Salesman Problem to an intergalactic game. The challenge will be to build a spaceship that travels across all planets in the shortest time possible!