updates for v2 SDK links

Larry Franks · Larry Franks · commit 169d670b8a3b · 2022-10-03T12:46:20.000-04:00
diff --git a/articles/machine-learning/concept-compute-instance.md b/articles/machine-learning/concept-compute-instance.md
@@ -78,7 +78,7 @@ You can [Add RStudio](how-to-create-manage-compute-instance.md#add-custom-applic
 |Anaconda Python||
 |Jupyter and extensions||
 |Jupyterlab and extensions||
-[Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/intro)</br>from PyPI|Includes most of the azureml extra packages.  To see the full list, [open a terminal window on your compute instance](how-to-access-terminal.md) and run <br/> `conda list -n azureml_py36 azureml*` |
+[Azure Machine Learning SDK for Python](https://aka.ms/sdk-v2-install)</br>from PyPI|Includes most of the azureml extra packages.  To see the full list, [open a terminal window on your compute instance](how-to-access-terminal.md) and run <br/> `conda list -n azureml_py36 azureml*` |
 |Other PyPI packages|`jupytext`</br>`tensorboard`</br>`nbconvert`</br>`notebook`</br>`Pillow`|
 |Conda packages|`cython`</br>`numpy`</br>`ipykernel`</br>`scikit-learn`</br>`matplotlib`</br>`tqdm`</br>`joblib`</br>`nodejs`</br>`nb_conda_kernels`|
 |Deep learning packages|`PyTorch`</br>`TensorFlow`</br>`Keras`</br>`Horovod`</br>`MLFlow`</br>`pandas-ml`</br>`scrapbook`|
diff --git a/articles/machine-learning/concept-workspace.md b/articles/machine-learning/concept-workspace.md
@@ -46,7 +46,7 @@ You can interact with your workspace in the following ways:
 + On the web:
     + [Azure Machine Learning studio ](https://ml.azure.com) 
     + [Azure Machine Learning designer](concept-designer.md) 
-+ In any Python environment with the [Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/intro).
++ In any Python environment with the [Azure Machine Learning SDK for Python](https://aka.ms/sdk-v2-install).
 + On the command line using the Azure Machine Learning [CLI extension](how-to-configure-cli.md)
 + [Azure Machine Learning VS Code Extension](how-to-manage-resources-vscode.md#workspaces)
 
diff --git a/articles/machine-learning/how-to-datastore.md b/articles/machine-learning/how-to-datastore.md
@@ -31,7 +31,7 @@ In this article, learn how to connect to data storage services on Azure with Azu
 
 - An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/).
 
-- The [Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/intro).
+- The [Azure Machine Learning SDK for Python](https://aka.ms/sdk-v2-install).
 
 - An Azure Machine Learning workspace.
 
diff --git a/articles/machine-learning/how-to-manage-rest.md b/articles/machine-learning/how-to-manage-rest.md
@@ -17,7 +17,7 @@ ms.custom: devx-track-python
 
 
 
-There are several ways to manage your Azure ML resources. You can use the [portal](https://portal.azure.com/), [command-line interface](/cli/azure), or [Python SDK](/python/api/overview/azure/ml/intro). 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](/cli/azure), or [Python SDK](https://aka.ms/sdk-v2-install). 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:
 
diff --git a/articles/machine-learning/how-to-read-write-data-v2.md b/articles/machine-learning/how-to-read-write-data-v2.md
@@ -28,7 +28,7 @@ Learn how to read and write data for your jobs with the Azure Machine Learning P
 
 - An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/).
 
-- The [Azure Machine Learning SDK for Python v2](/python/api/overview/azure/ml/intro).
+- The [Azure Machine Learning SDK for Python v2](https://aka.ms/sdk-v2-install).
 
 - An Azure Machine Learning workspace
 
diff --git a/articles/machine-learning/how-to-troubleshoot-data-access.md b/articles/machine-learning/how-to-troubleshoot-data-access.md
@@ -17,7 +17,7 @@ ms.custom: devx-track-python, mldata, references_regions, sdkv2
 
 [!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
 
-In this guide, learn how to identify and resolve known issues with data access with the [Azure Machine Learning SDK](/python/api/overview/azure/ml/intro).
+In this guide, learn how to identify and resolve known issues with data access with the [Azure Machine Learning SDK](https://aka.ms/sdk-v2-install).
 
 ## Error Codes
 

Original file line number	Diff line number	Diff line change
`@@ -17,7 +17,7 @@ ms.custom: devx-track-python`
`17`	`17`
`18`	`18`
`19`	`19`
`20`		-There are several ways to manage your Azure ML resources. You can use the [portal](https://portal.azure.com/), [command-line interface](/cli/azure), or [Python SDK](/python/api/overview/azure/ml/intro). 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.
	`20`	+There are several ways to manage your Azure ML resources. You can use the [portal](https://portal.azure.com/), [command-line interface](/cli/azure), or [Python SDK](https://aka.ms/sdk-v2-install). 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.
`21`	`21`
`22`	`22`	`In this article, you learn how to:`
`23`	`23`