AI Algorithms for Game Design with Python
With Eduardo Corpeño
Liked by 26 users
Duration: 2h 21m
Skill level: Advanced
Released: 3/11/2025
Course details
In this intermediate-level course, Eduardo Corpeño explores AI algorithms for game design. Dive into powerful strategies like minimax, alpha-beta pruning, and iterative deepening. Learn how to implement these techniques in Python and enhance your game development skills. Discover the historical context, such as the algorithms used in IBM's Deep Blue, which defeated world chess champion Garry Kasparov. By engaging with real-world examples and hands-on coding exercises, you will develop and strengthen your ability to create intelligent game algorithms. Whether you are a game developer, AI enthusiast, or a programmer looking to sharpen your skills, this course offers in-depth knowledge and practical skills to effectively utilize AI in game design.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out “Using the exercise files in GitHub Codespaces" with this course to learn how to get started.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
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Contents
What’s included
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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