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https://github.com/stephlocke/amlbicep
Create Azure Machine Learning workspaces via Bicep ☁⚗💪
https://github.com/stephlocke/amlbicep
azure bicep-templates infrastructure-as-code mlops
Last synced: 18 days ago
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Create Azure Machine Learning workspaces via Bicep ☁⚗💪
- Host: GitHub
- URL: https://github.com/stephlocke/amlbicep
- Owner: stephlocke
- License: mit
- Created: 2021-10-30T12:09:39.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-10-30T12:18:33.000Z (over 3 years ago)
- Last Synced: 2025-01-06T21:42:26.202Z (27 days ago)
- Topics: azure, bicep-templates, infrastructure-as-code, mlops
- Language: Bicep
- Homepage:
- Size: 3.91 KB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# amlBICEP
This is a repo showcasing how to create an Azure Machine Learning Workspace programmatically.
The main file is `aml.bicep` which would be deployed with parameters. Upstream dependencies like storage accounts are created in modules with a conditional deployment demonstrated for the Container Registry.
You can deploy the bicep using a variety of tools but the Azure CLI is demonstrated in `deploy.cli`. This file includes how to get the Azure CLI in an Ubuntu environment, connect to your Azure subscription, build an ARM template, create a resource group, and then perform a deployment. The additional items before doing a deployment are intended to support a setting up of an environment if required.