Take advantage of artificial intelligence, machine learning, and deep learning to build, run, and grow games
Introduction to AI/ML in Games
Gearbox Software and MMOS use machine learning to create minigame that helps advance scientific research
Solutions for every stage of the ML adoption journey
Explore custom-built AI and ML solutions for games by use case
Game developers have access to a collection of cloud-based content moderation and reputation tools that help studios and publishers grow a healthy, inclusive, and enjoyable online community.
Organizations may determine the best of course of action for increasing acquisition and retention, as well as optimizing long term player engagement.
Get started with select AWS services
Analyze millions of images and videos within minutes to keep communities safe and reduce the volume of user generated content teams needs to manually review
Amazon Rekognition enables image and video moderation automation, to proactively detect inappropriate, unwanted, or offensive User Generated Content (UGC) and grow a safe community
Train Amazon Translate with games Translation Memory and Glossery for improved multilingual communication with global staff and players
SageMaker Canvas provides a visual point-and-click low/no-code tool analytics teams can use to generate player behaviour insights, LTV and Churn predictors with ML
See what our customers are achieving with AI&ML for Games on AWS.
Rovio Teaches Angry Birds to Fly In the Cloud Using Machine Learning on AWS
With 4 billion analytic events captured per day, Rovio uses machine learning to predict and deliver the perfect level of fun for players. With AWS, Rovio can power its reinforcement learning to predict the difficulty of game levels faster.
Gearbox and MMOS Use AWS to Create Minigame That Helps Scientific Research
Gearbox Software and MMOS use machine learning to create minigame that helps advance scientific research.
MYTONA Finds AWS Changes the Game
MYTONA analyzes thousands of games reviews with Amazon SageMaker to sort and classify comments. It also runs daily Amazon ECS tasks to collect and pre-process data and to label new reviews. This provides feedback about games in near-real time.
How CAPCOM builds fun games fast with containers, data, and ML
By using reinforcement learning on AWS, CAPCOM was able to reduce the burden on skilled workers to create well balanced levels at high velocity.
Voodoo: Perform Recommendations Using Machine Learning
Voodoo used Amazon SageMaker to build, train, and deploy its machine learning inferences in production and improved recommendations for its players.
Get started with AWS AI and ML
AWS expert selected Learning plans
Get started with AWS for Games specific Learning Collections of courses selected by AWS experts to give you a path to your learning goals,
Detect fraud in games using machine learning
Learn how to get fraud detection using ML up and running to train and run machine learning models that help detect in-game fraud
Automate game leveling with reinforcement learning
Learn how to automate game leveling using reinforcement learning with Amazon SageMaker
Up your game: Increase player retention with ML-powered matchmaking using Amazon Aurora ML and Amazon SageMaker
In this post, we demonstrate how a game publisher can adapt a player matchmaking system powered by Aurora to increase player retention using a real-time ML-based matchmaking model trained by Amazon SageMaker Autopilot.
Apply profanity masking in Amazon Translate
Learn how to mask profane words and phrases with a grawlix string (“?$#@$”) when using Amazon Translate for player-to-player multilingual chat in game
Detect anomalies in games
Use Amazon Lookout for Metrics and the Game Analytics Pipeline Solution to find the "that's interesting" in analytics data. Get alerted to the unusual; a spike in crafting, a drop in chat traffic, or too many hits to the player authentication API
Innovate with key industry partners
Discover purpose-built AWS for Games solutions and services from an extensive network of industry-leading AWS Partners who have demonstrated technical expertise and customer success in building solutions on AWS.
AI-powered content moderation
Guardian for Games, detect and stop harmful behaviors to optimize the player experience and grow your community.
Start the ML journey
Machine learning is the new technology frontier for games. Amazon is committed to helping game developers and game students master this technology and build amazing experiences with it.
Machine Learning University
Machine Learning University (MLU) provides anybody, anywhere, at any time access to the same machine learning courses used to train Amazon’s own developers on machine learning. With MLU, all developers can learn how to use machine learning with the learn-at-your-own-pace MLU Accelerator learning series.
Free Udacity course for AWS DeepRacer
Learn how to train a real life autonomous vehicle with Reinforcement Learning (RL) in this free 2 week Udacity course sponsored by AWS. Then test new skills by joining the DeepRacer Leage and win big prizes.
Take the free course »
Amazon SageMaker Studio Lab (Preview)
Amazon SageMaker Studio Lab is a free machine learning (ML) development environment that provides the compute, storage (up to 15GB), and security—all at no cost—for anyone to learn and experiment with ML. Get started with a valid email address—no need to configure infrastructure or manage identity and access or even sign up for an AWS account.