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Jordan Edwards
2019-04-28 13:04:26 -07:00
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## Deploy to the cloud
You can deploy to the cloud using the Azure ML CLI or the Azure ML SDK.
- CLI example: [Azure Pipelines model deployment example](./azure-pipelines-model-deploy.yml)
### Deploy with the CLI
```
az extension add -n azure-cli-ml
az ml folder attach -w myworkspace -g myresourcegroup
az ml model register -n sklearn_regression_model.pkl -p sklearn_regression_model.pkl -t model.json
az ml model deploy -n acicicd -f model.json --ic inferenceConfig.yml --dc deploymentConfig.yml --overwrite
```
Here is an [Azure DevOps Pipelines model deployment example](./azure-pipelines-model-deploy.yml)
### Deploy from a notebook
- Notebook example: [model-register-and-deploy](./model-register-and-deploy.ipynb).