Artificial Intelligence for Simple Games

🤖 Unlock the Secrets of AI in Simple Games with Expert Instructor Jan Warchocki 🚀

Course Title: Artificial Intelligence for Simple Games

Course Description:

Key Features:

• Foundation for All Levels: No matter where you are in your AI journey, this course provides the knowledge and skills to enhance your understanding of AI applications in gaming.
• Comprehensive Concepts: Explore key algorithms and concepts such as Genetic Algorithms, Q-Learning, Deep Q-Learning, Artificial Neural Networks, and Convolutional Neural Networks.

Interactive Learning Environment:

• Dive into a project-based learning approach with SuperDataScience's platform, designed to build your knowledge gradually through practical case studies.
• Gain intuition and problem-solving skills by experimenting with different game scenarios and applying your learning in real-world business contexts.

Course Curriculum:

Section #1 — Genetic Algorithms & the Travelling Salesman Problem ☄️🛫

• Embark on an intergalactic journey to solve the Travelling Salesman problem, optimizing a spaceship's route across planets.

Section #2 — Q-Learning & Maze Navigation 🧮🌀

• Uncover the mysteries of model-free reinforcement learning with Q-Learning by designing and programming a custom maze.

Section #3 — Deep Q-Learning & OpenAI Gym 🧠🕹️

• Delve into the world of deep learning with Neural Networks using the OpenAI Gym environment, building AI solutions for a variety of simple games.

Section #4 — Convolutional Neural Networks & Snake Game 🐍🎮

• Cap off your learning by applying Convolutional Neural Networks to develop an AI that can play the classic game, Snake, autonomously.

Join Jan Warchocki in this enlightening course and transform the way you think about Artificial Intelligence! 🎓✨

Ready to level up your AI skills through the fun and engaging world of simple games? Enroll now and start building intelligent game bots with confidence!