Amazon SageMaker

Amazon SageMaker is a fully managed service for building, training, and deploying ML models at scale. Data scientists can use built-in algorithms, bring custom code in Docker containers, or leverage SageMaker Studio’s low-code environment for faster prototyping. Automatic model tuning, debugging, and monitoring features help improve accuracy and reliability. SageMaker also hosts pre-trained models for NLP, vision, or tabular predictions. With seamless integration into AWS’s vast ecosystem—S3, EC2, Lambda—SageMaker simplifies end-to-end ML workflows, from data prep and experimentation to production.