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A Beginner’s Guide To Machine Learning with Unity Course

A Beginner's Guide To Machine Learning with Unity Course Download Free
A Beginner's Guide To Machine Learning with Unity Course Download Free

A Beginner’s Guide To Machine Learning with Unity Course

Advanced games AI with genetic algorithms, neural networks & Q-learning in C# and Tensorflow for Unity

What Will I Learn?

A Beginner’s Guide To Machine Learning with Unity Course

  • Build a genetic algorithm from scratch in C#.
  • Build a neural network from scratch in C#.
  • Setup and explore the Unity ML-Agents plugin.
  • Setup and use Tensorflow to train game characters.
  • Apply their newfound knowledge of machine learning to integrate contemporary research ideas in the field into their projects.
  • Distill the mathematics and statistic behind machine learning to the working program code.
  • Use a Proximal Policy Optimisation to train a neural network.


  • You should be familiar with the Unity Game Engine.
  • Should have a working knowledge of C#.
  • You should have a healthy appreciation for mathematics and statistics.


Think about the types of gameplay you could develop where the enemies started to outsmart the player. This is what machine learning in games is all about. In this course, we will discover the fascinating world of artificial intelligence beyond the simple stuff and examine the increasingly popular domain of machines that learn to think for themselves.

This course, Penny introduces the popular machine learning techniques of genetic algorithms and neural networks using her internationally acclaimed teaching style and knowledge from a Ph.D. in-game character AI and over 25 years of experience working with games and computer graphics.  Throughout the course, you will follow along with hands-on workshops designed to teach you about the fundamental machine learning techniques distilling the mathematics in a way that the topic becomes accessible to the most noob of novices.

Learn how to program and work with:

  • genetic algorithms;
  • neural networks;
  • the human player captured training sets;
  • reinforcement learning;
  • Unity’s ML-Agent plugin; and,
  • Tensorflow;

Contents and Overview

You’ll develop an agent that learns to camouflage, a flappy bird inspired application in which the birds learn to make it through a maze and environment sensing bots that learn to stay on a platform.

With this basic neural network, you will find out how to train behavior, capture and use human player data to train an agent and teach a bot to drive.

By this stage, you’ll feel confident with the terminology and techniques used throughout the deep learning community and ready to tackle Unity’s experimental ML-Agents. A Beginner’s Guide To Machine Learning with Unity Course Download Free

What students are saying about this course:

  • The best beginner to Advanced course for Neural Networks/ Machine Learning if you are a game developer that uses C# and Unity. BAR NONE x Infinity.
  • A perfect course with great math examples and demonstration of the TensorFlow power inside Unity. After this course, you will get a strong basic background in Machine Learning.
  • The instructor is very engaging and knowledgeable. I started learning from the first lesson and it never stopped. If you are interested in Machine Learning, take this course.

Who is the target audience?

  • Anyone wanting to learn about the potential of machine learning in games.
  • Who Anyone wanting a deeper understanding of the algorithms and theories underlying Unity’s ML-Agents.
  • Anyone wanting to know how to set up and work with ML-Agents.
  • Machine Learning Practical Workout

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