Amazon SageMaker provides a complete set of tools for every step of the machine learning workflow. SageMaker Studio offers a web-based IDE for data scientists with built-in notebook environments, experiment tracking, and model debugging tools.
The platform includes SageMaker Data Wrangler for data preparation, SageMaker Autopilot for automated ML, SageMaker Training with managed infrastructure scaling, SageMaker Endpoints for real-time inference, and SageMaker Pipelines for MLOps automation. It supports TensorFlow, PyTorch, MXNet, Hugging Face, and custom frameworks via Docker containers.
SageMaker pricing is usage-based across multiple dimensions — notebook instance hours, training instance hours, endpoint hosting, and storage. AWS Free Tier includes 250 hours of ml.t3.medium notebook usage for the first two months.
