Amazon SageMaker Pipelines

Purpose-built service for machine learning workflows
Get started with Amazon SageMaker Pipelines
What is Amazon SageMaker Pipelines?

Amazon SageMaker Pipelines is a purpose-built workflow orchestration service to automate all phases of machine learning (ML) from data pre-processing to model monitoring. With an intuitive UI and Python SDK you can manage repeatable end-to-end ML pipelines at scale. The native integration with multiple AWS services allows you to customize the ML lifecycle based on your MLOps requirements.

Benefits of SageMaker Pipelines

Standardize FMOps practices across your organization to accelerate model development
Orchestrate ML workflows for data pre-processing, model tuning, and deployment
Share and re-use MLOps system that is tailored to your organizational needs