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articles/machine-learning/how-to-create-component-pipelines-ui.md

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ms.custom: devplatv2, designer, event-tier1-build-2022, ignite-2022
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# Create and run machine learning pipelines using components with the Azure Machine Learning studio (Preview)
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# Create and run machine learning pipelines using components with the Azure Machine Learning studio
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[!INCLUDE [cli v2](../../includes/machine-learning-cli-v2.md)]
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In this article, you'll learn how to create and run [machine learning pipelines](concept-ml-pipelines.md) by using the Azure Machine Learning studio and [Components](concept-component.md). You can create pipelines without using components, but components offer better amount of flexibility and reuse. Azure ML Pipelines may be defined in YAML and [run from the CLI](how-to-create-component-pipelines-cli.md), [authored in Python](how-to-create-component-pipeline-python.md), or composed in Azure ML Studio Designer with a drag-and-drop UI. This document focuses on the AzureML studio designer UI.
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[!INCLUDE [preview disclaimer](../../includes/machine-learning-preview-generic-disclaimer.md)]
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## Prerequisites
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* 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/).

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