Amazon SageMaker is a cloud machine-learning platform that was launched in November 2017. SageMaker enables developers to create, train, and deploy machine-learning models in the cloud. SageMaker also enables developers to deploy ML models on embedded systems and edge-devices.
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.
The most comprehensive ML service
Accelerate innovation with purpose-built tools for every step of ML development, including labeling, data preparation, feature engineering, statistical bias detection, auto-ML, training, tuning, hosting, explainability, monitoring, and workflows.
The first integrated development environment (IDE) for ML
Boost your productivity using Amazon SageMaker Studio, the first fully integrated development environment designed specifically for ML that brings everything you need for ML under one unified, visual user interface.
Functionality designed from the ground up to work together
Use Amazon SageMaker’s integrated capabilities for ML development, so you can eliminate months of writing custom integration code, and ultimately reduce cost.
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