Amazon SageMaker is a fully managed platform that enables data scientists and developers to build, train, and deploy ML models at scale without managing underlying infrastructure, featuring a comprehensive MLOps suite and SageMaker JumpStart for accelerated development.
Focus on Amazon SageMaker, AWS's fully managed platform for building, training, and deploying custom machine learning models at scale with comprehensive MLOps capabilities, offering more control without managing infrastructure.
A serverless, fully-managed environment that lets data-scientists move from raw data to a low-latency prediction API in minutes using Amazon SageMaker Studio, Amazon S3, and Amazon SageMaker real-time endpoints. Security, cost-control, and CI/CD best-practices are baked into every layer.