Merge pull request #95646 from Blackmist/dockernote

Adding prereqs and adding links to Docker documentation

Author: PRMerger15

articles/machine-learning/service/how-to-troubleshoot-deployment.md

@@ -37,6 +37,16 @@ When deploying a model in Azure Machine Learning, the system performs a number o
 
 Learn more about this process in the [Model Management](concept-model-management-and-deployment.md) introduction.
 
+## Prerequisites
+
+* An **Azure subscription**. If you do not have one, try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree).
+* The [Azure Machine Learning SDK](https://docs.microsoft.com/python/api/overview/azure/ml/install?view=azure-ml-py).
+* The [Azure CLI](https://docs.microsoft.com/cli/azure/install-azure-cli?view=azure-cli-latest).
+* The [CLI extension for Azure Machine Learning](reference-azure-machine-learning-cli.md).
+* To debug locally, you must have a working Docker installation on your local system.
+
+    To verify your Docker installation, use the command `docker run hello-world` from a terminal or command prompt. For information on installing Docker, or troubleshooting Docker errors, see the [Docker Documentation](https://docs.docker.com/).
+
 ## Before you begin
 
 If you run into any issue, the first thing to do is to break down the deployment task (previous described) into individual steps to isolate the problem.
@@ -151,9 +161,6 @@ To avoid this problem, we recommend one of the following approaches:
 
 If you encounter problems deploying a model to ACI or AKS, try deploying it as a local . Using a local  makes it easier to troubleshoot problems. The Docker image containing the model is downloaded and started on your local system.
 
-> [!IMPORTANT]
-> Local  deployments require a working Docker installation on your local system. Docker must be running before you deploy a local . For information on installing and using Docker, see [https://www.docker.com/](https://www.docker.com/).
-
 > [!WARNING]
 > Local  deployments are not supported for production scenarios.
 
@@ -320,8 +327,8 @@ In some cases, you may need to interactively debug the Python code contained in
 
 > [!IMPORTANT]
 > This method of debugging does not work when using `Model.deploy()` and `LocalWebservice.deploy_configuration` to deploy a model locally. Instead, you must create an image using the [ContainerImage](https://docs.microsoft.com/python/api/azureml-core/azureml.core.image.containerimage?view=azure-ml-py) class. 
->
-> Local  deployments require a working Docker installation on your local system. Docker must be running before you deploy a local . For information on installing and using Docker, see [https://www.docker.com/](https://www.docker.com/).
+
+Local deployments require a working Docker installation on your local system. For more information on using Docker, see the [Docker Documentation](https://docs.docker.com/).
 
 ### Configure development environment