About Amazon SageMaker
Amazon SageMaker is AWS’s fully managed machine learning service for building, training, tuning, and deploying ML models at scale across the ML lifecycle.
Key Features
- Integrated studio/IDE (SageMaker Studio) and notebook experiences for development.
- Managed training and distributed training infrastructure, hyperparameter tuning, and built-in algorithms.
- Model deployment, monitoring, model explainability (SageMaker Clarify) and MLOps capabilities.
- No-code options (e.g., SageMaker Canvas) and JumpStart model catalog for faster prototyping.
Use Cases & Best For
Developers and data scientists building and operating scalable ML on AWS.
Organizations that need managed training, deployment, and MLOps integrated with AWS services.
About ML Platforms & Training
End-to-end machine learning platforms