Audience

Individuals that need a first purpose-built CI/CD service for machine learning

About Amazon SageMaker Pipelines

Using Amazon SageMaker Pipelines, you can create ML workflows with an easy-to-use Python SDK, and then visualize and manage your workflow using Amazon SageMaker Studio. You can be more efficient and scale faster by storing and reusing the workflow steps you create in SageMaker Pipelines. You can also get started quickly with built-in templates to build, test, register, and deploy models so you can get started with CI/CD in your ML environment quickly. Many customers have hundreds of workflows, each with a different version of the same model. With the SageMaker Pipelines model registry, you can track these versions in a central repository where it is easy to choose the right model for deployment based on your business requirements. You can use SageMaker Studio to browse and discover models, or you can access them through the SageMaker Python SDK.

Integrations

Ratings/Reviews

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Company Information

Amazon
Founded: 2006
United States
aws.amazon.com/sagemaker/pipelines/

Videos and Screen Captures

Amazon SageMaker Pipelines Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Amazon SageMaker Pipelines Frequently Asked Questions

Q: What kinds of users and organization types does Amazon SageMaker Pipelines work with?
Amazon SageMaker Pipelines works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Amazon SageMaker Pipelines support in their product?
Amazon SageMaker Pipelines supports these languages: English.
Q: What kind of support options does Amazon SageMaker Pipelines offer?
Amazon SageMaker Pipelines offers support via online.
Q: What other applications or services does Amazon SageMaker Pipelines integrate with?
Amazon SageMaker Pipelines integrates with: Amazon SageMaker and Amazon Web Services (AWS).
Q: What type of training does Amazon SageMaker Pipelines provide?
Amazon SageMaker Pipelines provides training in the form of documentation.

Amazon SageMaker Pipelines Product Features

Continuous Delivery

Build Log Not Supported
Continuous Integration Not Supported
Continuous Deployment Not Supported
Change Management Not Supported
Configuration Management Not Supported
Testing Management Not Supported
Quality Management Not Supported
Application Release Automation Not Supported
Build Automation Not Supported
Application Lifecycle Management Not Supported
Feature Toggles / Feature Flags Not Supported

Continuous Integration

Build Log Not Supported
Change Management Not Supported
Configuration Management Not Supported
Continuous Delivery Not Supported
Continuous Deployment Not Supported
Debugging Not Supported
Permission Management Not Supported
Quality Assurance Management Not Supported
Testing Management Not Supported

Machine Learning

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Templates Not Supported
Visualization Not Supported
Statistical / Mathematical Tools Not Supported