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Machine Learning Workspaces Management Client

Machine Learning Workspaces Management Client

These APIs allow end users to operate on Azure Machine Learning Workspace resources. They support CRUD operations for Azure Machine Learning Workspaces.

Visit site ↗Health checked 5d ago
Use it when

Supports full CRUD operations

Watch for

Authentication method is unspecified

First check

To start using the API, obtain appropriate authentication credentials as required by Azure. Refer to Azure documentation for authentication details. Use the REST endpoints to perform workspace CRUD operations.

Auth
CORS
No
HTTPS
Yes
Signup
?
Latency
63 ms
Protocol
REST
Pricing

Uptime · 30-day window

Probes: 30Uptime: 0%Avg latency: 66ms
01

About this API

The Machine Learning Workspaces Management Client API provides programmatic access to Azure Machine Learning Workspace resources. It enables developers and administrators to create, read, update, and delete workspaces within the Azure cloud environment. This API is designed to facilitate management tasks related to machine learning workspaces, which serve as centralized environments for building and deploying machine learning models.

Users of this API typically include data scientists, ML engineers, and cloud administrators who need to automate workspace lifecycle management or integrate workspace operations into broader cloud workflows. By supporting CRUD operations, the API allows flexible control over workspace resources, helping teams maintain and organize their machine learning infrastructure efficiently.

While the API focuses on workspace resource management, details about authentication methods are not specified in the provided description, so users should consult Azure's official documentation for security and access requirements. Overall, this API is relevant for those leveraging Azure's machine learning platform and seeking to automate or script workspace management tasks.

02

What you can build

  • 1Create Azure Machine Learning Workspaces
  • 2Update workspace configurations
  • 3Delete existing workspaces
  • 4Retrieve workspace details
03

Strengths & limitations

Strengths

  • Supports full CRUD operations
  • Specifically for Azure ML workspaces
  • Cloud resource management focused

Limitations

  • Authentication method is unspecified
  • Limited to Azure Machine Learning workspaces
04

Getting started

To start using the API, obtain appropriate authentication credentials as required by Azure. Refer to Azure documentation for authentication details. Use the REST endpoints to perform workspace CRUD operations.

05

FAQ

Do I need authentication to use this API?+

Yes, authentication is required, but the specific method is not detailed here. Refer to Azure documentation.

Can I create and delete machine learning workspaces with this API?+

Yes, the API supports full CRUD operations including creating and deleting workspaces.

Is this API limited to Azure Machine Learning workspaces?+

Yes, it specifically manages Azure Machine Learning Workspace resources.

What protocol does this API use?+

This API uses REST protocol.

Can I use this API from client-side browser applications?+

It is not specified; typically, such management APIs require secure server-side usage.

06

Technical details

CORS: NoHTTPS: YesSignup: ?Open source: No
Auth type
unknown
Pricing
unknown
Protocols
REST
Response time
63 ms
Last health check
8/10/2026, 5:29:42 AM
07

Tags

08

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