Merge pull request #105050 from j-martens/master

fixing old links to SDK post versioning

Author: PRMerger6

articles/machine-learning/concept-automated-ml.md

@@ -215,7 +215,7 @@ With Azure Machine Learning, you can use automated ML to build a Python model an
 
 Azure Machine Learning offers two experiences for working with automated ML
 
-* For code experienced customers, [Azure Machine Learning Python SDK](https://docs.microsoft.com/python/api/overview/azureml-sdk/?view=azure-ml-py) 
+* For code experienced customers, [Azure Machine Learning Python SDK](https://docs.microsoft.com/python/api/overview/azure/ml/intro?view=azure-ml-py) 
 
 * For limited/no code experience customers, Azure Machine Learning studio at [https://ml.azure.com](https://ml.azure.com/)  
 

articles/machine-learning/how-to-manage-rest.md

@@ -15,7 +15,7 @@ ms.date: 01/31/2020
 
 [!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
 
-There are several ways to manage your Azure ML resources. You can use the [portal](https://portal.azure.com/), [command-line interface](https://docs.microsoft.com/cli/azure/?view=azure-cli-latest), or [Python SDK](https://docs.microsoft.com/python/api/overview/azureml-sdk/?view=azure-ml-py). Or, you can choose the REST API. The REST API uses HTTP verbs in a standard way to create, retrieve, update, and delete resources. The REST API works with any language or tool that can make HTTP requests. REST's straightforward structure often makes it a good choice in scripting environments and for MLOps automation. 
+There are several ways to manage your Azure ML resources. You can use the [portal](https://portal.azure.com/), [command-line interface](https://docs.microsoft.com/cli/azure/?view=azure-cli-latest), or [Python SDK](https://docs.microsoft.com/python/api/overview/azure/ml/intro?view=azure-ml-py). Or, you can choose the REST API. The REST API uses HTTP verbs in a standard way to create, retrieve, update, and delete resources. The REST API works with any language or tool that can make HTTP requests. REST's straightforward structure often makes it a good choice in scripting environments and for MLOps automation. 
 
 In this article, you learn how to: