MLOps Automation With SageMaker Projects (original) (raw)
DocumentationAmazon SageMakerDeveloper Guide
Create end-to-end ML solutions with CI/CD by using SageMaker Projects.
Use SageMaker Projects to create a MLOps solution to orchestrate and manage:
- Building custom images for processing, training, and inference
- Data preparation and feature engineering
- Training models
- Evaluating models
- Deploying models
- Monitoring and updating models
Topics
- What is a SageMaker AI Project?
- Granting SageMaker Studio Permissions Required to Use Projects
- Create a MLOps Project using Amazon SageMaker Studio or Studio Classic
- MLOps Project Templates
- View Project Resources
- Update a MLOps Project in Amazon SageMaker Studio or Studio Classic
- Delete a MLOps Project using Amazon SageMaker Studio or Studio Classic
- Walk Through a SageMaker AI MLOps Project Using Third-party Git Repos
Model Monitor
SageMaker Projects
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