Amazon SageMaker is a fully managed service that provides a comprehensive suite of tools to enable high-performance, cost-efficient machine learning (ML) for any use case. SageMaker facilitates building, training, and deploying ML models at scale using features like notebooks, debuggers, profilers, pipelines, and MLOps, all within a unified integrated development environment (IDE). It ensures compliance with governance requirements through streamlined access control and transparency for ML projects. Additionally, SageMaker allows creating large foundational models (FMs) trained on vast datasets, using specialized tools to fine-tune, experiment, retrain, and deploy them. The service also offers access to hundreds of pretrained models, including publicly available FMs, which can be deployed with just a few clicks.