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 Power Tomorrow's Games Today with Machine Learning

As game developers, we are just starting to discover how Machine Learning (ML) can help accelerate and augment our work. From detecting fraud and predicting player behavior, to automating speech recognition and playtesting, ML is beginning to make our development process faster and smarter. Here are some resources from across AWS to help you get started with ML today. What will you build with ML?

5 ways game developers are using ML

Predict player behavior

Stay steps ahead of what your players want most. Use Amazon SageMaker’s built in or custom algorithms to predict future trends like churn and lifetime value.
Learn how Rovio Uses ML to Acquire, Retain, and Monetize Users

Rovio did it, now it's your turn. Find out how 🡕

Generate lifelike speech from text

Use natural language processing to translate text into voice with Amazon Polly. Combine with Amazon Lex to create intelligent chatbots.  
The Text to Speech Gem is available now with Lumberyard

You can give your game a voice. Start talking 🡕

Automate play testing

Build customized algorithms to help balance game levels faster than the human eye. Read the Wired article 🡕                                                                                                         

gt-angrybirds2

Get started with AWS ML. Learn more 🡕

Automated image analysis

Use Amazon Rekognition to analyze and process imagery fast. Detect and moderate 100,000 pictures of objects, scenes, and faces, every second.

Pain in the Asset Library - How Machine Learning can make your production pipeline 1000x faster

Follow along in this blog. Do it yourself 🡕

Detect and prevent cheating

Streamline fraud detection and keep games fair. Use K-means clustering algorithms from Amazon SageMaker to track and spot anomalies with in-game interactions.
Learn how Amazon SageMaker can accelerate your adoption of ML

You don't need 300 people teams. Get started 🡕


Get Started with Machine Learning - No PhD Required

Whether you are looking to learn ML hands-on, level-up your skill set with online courses or connect with other game focused AWS developers, here are resources that can help.

"A game can be really popular one day and then all of a sudden it's less popular. Understanding or even predicting that can be very valuable to game developers.

Peter Chapman - Sr. Solutions Architect Game Tech

Choose your learning path

BUILD NOW

BUILD NOW

Get started with easy-to-use AI services and a few lines of code. Pick from one of the use cases below and follow the steps to see for yourself.

MEDIA SUBTITLING AND LOCALIZATION
MEDIA SUBTITLING AND LOCALIZATION
Learn more »
AI-DRIVEN SOCIAL MEDIA DASHBOARD
AI-DRIVEN SOCIAL MEDIA DASHBOARD
Learn more »
 CONTACT CENTER MODERNIZATION
CONTACT CENTER MODERNIZATION
Learn more »

LEARN HANDS-ON

LEARN HANDS-ON

Learn though hands-on exploration with a physical device. Designed for developers of all skill levels to learn ML in a fun, practical way.

LEARN ML THOUGH AUTONOMOUS DRIVING WITH AWS DEEPRACER
LEARN ML THOUGH AUTONOMOUS DRIVING WITH AWS DEEPRACER
Learn more »
AWS DEEPRACER VIRTUAL LEAGUE
AWS DEEPRACER VIRTUAL LEAGUE
Learn more »
LEARN HOW TO BUILD COMPUTER VISION APPS WITH AWS DEEPLENS
LEARN HOW TO BUILD COMPUTER VISION APPS WITH AWS DEEPLENS
Learn more »

GET ML CERTIFIED

GET ML CERTIFIED

The the same ML courses used to train engineers at Amazon are available for free. When ready, validate your expertise with an industry-recognized credential.

FREE ON-DEMAND DIGITAL TRAINING
FREE ON-DEMAND DIGITAL TRAINING
Learn more »
TAILORED ML LEARNING PATH FOR DEVELOPERS
TAILORED ML LEARNING PATH FOR DEVELOPERS
Learn more »
GET AWS MACHINE LEARNING CERTIFIED
GET AWS MACHINE LEARNING CERTIFIED
Learn more »


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