 **is a cloud-based AI/ML tool** that is part of . It provides a comprehensive suite of tools, workflows and fully managed infrastructure that make it easier for businesses to build, train, and deploy models at scale for any use case.

  

To get started with automating processes using Amazon SageMaker, you first need to establish a connection with your SageMaker instance. To do this, simply follow the step-by-step instructions available on the .

  

**One of the key benefits of SageMaker** is that it can be used in conjunction with other tools and platforms to create even more powerful automation solutions.  is one such tool, and it provides a set of  that **can be used to build more automations** that interact with SageMaker data. To enable these activities, all you need to do is use the connection you established earlier to authenticate with SageMaker.

  

Please note that the Amazon SageMaker connector is currently in **preview** and **does not support events**.

Amazon SageMaker is a cloud-based AI/ML tool that is part of AWS. SageMaker enables developers to create, train, and deploy machine-learning models in cloud.

UiPath's Amazon SageMaker connector unlocks the full potential of intelligent automation. Elevate your workflows by seamlessly integrating machine learning models, enabling intelligent decision-making within your automated processes.

The SageMaker integrations empowers enterprises to not only build and deploy machine learning models at scale but also embed them effortlessly into their UiPath automation processes.

Check out the UiPath Amazon SageMaker connector for scalable innovation. Harness Amazon SageMaker's cloud infrastructure combined with UiPath's capabilities.

Amazon SageMaker's Integrations and Connector

AWS SageMaker is a fully managed machine learning service designed to empower data scientists and developers in building, training, and deploying machine learning models within a hosted environment.

### How It Works

To facilitate seamless automation between UiPath and Amazon SageMaker, these activities establish an authenticated connection using the UiPath Connector for Amazon SageMaker.

Before initiating your first project, ensure to complete the steps outlined in the [Authentication Guide](https://docs.uipath.com/integration-service/automation-cloud/latest/user-guide/uipath-amazon-sagemaker-authentication) provided in the connector documentation.

### Activities

- [Get Inference](https://docs.uipath.com/activities/other/latest/integration-service/uipath-amazon-sagemaker-get-inference) - Gets an inference from a selected SageMaker model.

This activity package is compatible with UiPath Studio versions 2023.10 and later. Once established, the connection to the Amazon SageMaker instance can be reused across all activities within the package.

AWS SageMaker integrated with UiPath enables automated ML model deployment. Establish a reusable connection and explore the Activities.

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Amazon SageMaker connector

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