What you can do with Amazon SageMaker
Every task in plain language. Pick one, and we can help you get access.
21 things you can do
Amazon SageMaker
Amazon SageMaker is a fully managed machine learning platform that enables developers and data scientists to build, train, and deploy machine learning models at scale. SageMaker removes the heavy lifting from each step of the machine learning process, providing built-in algorithms, managed Jupyter notebooks, distributed training, automatic model tuning, and one-click deployment to production endpo
8 multi-step recipesRecipes: multi-step jobs
Audit Endpoint FleetList endpoints and inspect the most recently created one.Deploy Existing Model
Stand up an endpoint for a model that already exists.Deploy Model to Endpoint
Register a model and deploy it to a hosted real-time endpoint.Inventory Models
List models and inspect the most recently created one.Provision Notebook Instance
Create a notebook instance and poll it to an in-service state.Register Latest Completed Training
Register a model from the most recently completed training job.Train Model and Poll Job
Create a training job and poll it to a terminal status.Train Then Deploy
Train a model and, on success, deploy the trained artifacts to an endpoint.