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Jordan Edwards
2019-04-28 13:15:14 -07:00
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how-to-use-azureml/deploy-to-cloud/README.md
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# Model Deployment with Azure ML service
[![Build Status](https://aidemos.visualstudio.com/azmlcli/_apis/build/status/Azure.MachineLearningNotebooks?branchName=cli-ga)](https://aidemos.visualstudio.com/azmlcli/_build/latest?definitionId=87&branchName=cli-ga)
You can use Azure Machine Learning to package, debug, validate and deploy inference containers to a variety of compute targets. This process is known as "MLOps" (ML operationalization).
For more information please check out this article: https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-deploy-and-where
@@ -20,6 +19,7 @@ az ml model deploy -n acicicd -f model.json --ic inferenceConfig.yml --dc deploy
```
Here is an [Azure DevOps Pipelines model deployment example](./azure-pipelines-model-deploy.yml)
[![Build Status](https://aidemos.visualstudio.com/azmlcli/_apis/build/status/Azure.MachineLearningNotebooks?branchName=cli-ga)](https://aidemos.visualstudio.com/azmlcli/_build/latest?definitionId=87&branchName=cli-ga)
### Deploy from a notebook
- Notebook example: [model-register-and-deploy](./model-register-and-deploy.ipynb).