updates

Author: Blackmist

articles/machine-learning/concept-v2.md

@@ -92,23 +92,21 @@ SDK v2 is useful in the following scenarios:
 
 ## Should I use v1 or v2?
 
-Support for CLI v1 will end on September 30, 2025.  
+Support for CLI v1 will end on September 30, 2025. Support for SDK v1 will end on June 30, 2026. You can continue to use CLI v1 and SDK v1 until those dates. However, we recommend that you transition to CLI v2 and SDK v2 before those dates.
 
 We encourage you to migrate your code for both CLI and SDK v1 to CLI and SDK v2. For more information, see [Upgrade to v2](how-to-migrate-from-v1.md).
 
 ### CLI v2
 
 Azure Machine Learning CLI v1 has been deprecated. Support for the v1 extension will end on September 30, 2025. You'll be able to install and use the v1 extension until that date.
 
-We recommend that you transition to the `ml`, or v2, extension before September 30, 2025.
+We recommend that you transition to the `ml`, or v2, extension before September 30, 2025. For more information, see [Upgrade to v2](how-to-migrate-from-v1.md).
 
 ### SDK v2
 
-Azure Machine Learning Python SDK v1 doesn't have a planned deprecation date. If you have significant investments in Python SDK v1 and don't need any new features offered by SDK v2, you can continue to use SDK v1. However, you should consider using SDK v2 if:
+Support for the Azure Machine Learning SDK v1 will end on June 30, 2026. You'll be able to install and use the SDK v1 until that date.
 
-* You want to use new features like reusable components and managed inferencing.
-* You're starting a new workflow or pipeline. All new features and future investments will be introduced in v2.
-* You want to take advantage of the improved usability of the Python SDK v2 ability to compose jobs and pipelines by using Python functions, with easy evolution from simple to complex tasks.
+We recommend that you transition to the SDK v2 before June 30, 2026. For more information, see [Upgrade to v2](how-to-migrate-from-v1.md).
 
 ## Related content
 

articles/machine-learning/how-to-configure-network-isolation-with-v2.md

@@ -16,6 +16,9 @@ ms.date: 02/05/2025
 # Network Isolation Change with Our New API Platform on Azure Resource Manager
 
 In this article, you'll learn about network isolation changes with our new v2 API platform on Azure Resource Manager (ARM) and its effect on network isolation.
+
+> [!IMPORTANT]
+> The legacy v1 API is deprecated as of March 31, 2025. Support for using the CLI v1 to access this API will end on September 30, 2025. Support for using the SDK v1 to access this API will end on June 30, 2026.
  
 ## What is the new API platform on Azure Resource Manager (ARM)
 

articles/machine-learning/how-to-migrate-from-v1.md

@@ -22,6 +22,8 @@ Azure Machine Learning's v2 REST APIs, Azure CLI extension, and Python SDK intro
 > [!IMPORTANT]
 > The designations "v1" and "v2" refer to the API, SDK, and CLI extension used by clients to interact with the service, and not the Azure Machine Learning service itself. There is no upgrade process for the service or your existing workspaces, only for your client code. Your Azure Machine Learning workspaces can be used with both the v1 and v2 APIs. However, new features will only be available through the v2 APIs.
 >
+> Support for the CLI v1 will end on September 30, 2025 and support for the Python SDK v1 will end on June 30, 2026.
+>
 > For more information on v2, see [what is v2](concept-v2.md?view=azureml-api-2&preserve-view=true). For a mapping of differences between v1 and v2 SDKs, with links to articles with example code, see [Mapping of Python SDK v1 to v2](#mapping-of-python-sdk-v1-to-v2).
 
 ## Prerequisites