Amazon SageMaker is a fully managed service designed to simplify the entire process of building, training, and deploying machine learning (ML) models for diverse use cases. This service provides a comprehensive set of tools and workflows, including notebooks, debuggers, profilers, pipelines, MLOps, and more, all seamlessly integrated into one development environment. With SageMaker, users can achieve high-performance, cost-effective ML at scale.
The platform supports governance requirements by offering simplified access control and transparency over ML projects. Additionally, SageMaker allows users to build their own FMs (Feature Models), large models trained on massive datasets, using purpose-built tools for fine-tuning, experimenting, retraining, and deployment. Overall, Amazon SageMaker streamlines the ML workflow, making it accessible and efficient for a wide range of applications.