Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly.
Now you can easily build, train, and deploy machine learning (ML) models using Amazon Sagemaker. Developed by the world's leading public cloud provider, Amazon Sagemaker is the leading solution for creating ML models for any use case with fully-managed infrastructure, tools, and workflows. Powered by AWS, Sagemaker delivers high-performance, low-cost ML at scale.
Sagemaker is designed for the modern ML lifecycle, offering a wide breadth and depth of features. This includes built-in algorithms and automatic model tuning for hyperparameter optimization. Using Sagemaker, you can prepare, build, train and tune, and deploy and manage your ML solutions to address a wide range of applications – from monitoring models on edge devices to reducing costs with container instances.
Amazon Sagemaker is a fully-managed cloud service that lets you build, train, and deploy machine learning (ML) models.
AWS provides a wealth of accessible resources for Amazon Sagemaker. For more information and help, visit AWS Knowledge Center.
Amazon Sagemaker requires knowledge and experience to manage successful MLOps. Need help getting your ML modeling off the ground? Contact us and talk to one of our AWS engineers about your goals – and how we can help.