ML platform · Amazon SageMaker
SageMaker: managed ML/AutoML on AWS
Studio/Notebooks, Autopilot, training/inference, Model Registry, and monitoring
Amazon SageMaker is AWS's managed ML platform covering data prep, training, AutoML (Autopilot), deployment, and monitoring. Studio IDE, Pipelines, Feature Store, Model Registry, and Debugger/Profiler accelerate end-to-end production on AWS.
Studio & notebooks
Unified IDE with data prep and debugging/profiling, integrated with AWS identity and policies.
Autopilot AutoML
Automatic algorithm/feature selection producing editable notebooks and deployable endpoints.
Training & inference
Built-in algorithms/containers with batch, real-time, and serverless inference plus batch transform.
MLOps & governance
Pipelines, Model Registry, monitoring/drift detection, and lineage for compliant operations.
适用场景 / Use cases
- End-to-end ML and deployment on AWS
- Real-time or batch inference services
- Fast baseline AutoML experiments
- Auditable ML workflows with governance needs