# Getting started
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The following getting started topics apply to setting up SageMaker Unified Studio unified domains configured with AWS IAM Identity Center. For more details, see [Domains in Amazon SageMaker Unified Studio](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/working-with-domains.html).

The information in this section helps you get started using Amazon SageMaker Unified Studio. If you are new to Amazon SageMaker Unified Studio, start by becoming familiar with the concepts and terminology presented in [Amazon SageMaker Unified Studio terminology and concepts](concepts.md).

To get started with Amazon SageMaker Unified Studio as a user, start by gaining access to Amazon SageMaker Unified Studio and creating a project. You can then add members to the project and use the sample JupyterLab notebook to begin building with a variety of tools and resources.

**Topics**
+ [Access Amazon SageMaker Unified Studio](getting-started-access-the-portal.md)
+ [Create a project](getting-started-create-a-project.md)
+ [Run your first SQL query](gs-sql.md)
+ [Analyze and visualize data](gs-analyze.md)
+ [Build a data pipeline with visual ETL](gs-etl.md)
+ [Train an ML model](gs-ml.md)
+ [Get started with Amazon Bedrock in SageMaker Unified Studio](getting-started-use-amazon-bedrock-ide.md)
+ [Get started with the query editor in Amazon SageMaker Unified Studio](getting-started-querying.md)
+ [Get started adding on-demand Amazon EMR on EC2 instances](getting-started-emr-ec2-page.md)
+ [Use the sample notebook](getting-started-use-sample-notebook.md)
+ [Getting started with Amazon Q Developer generative AI chat and command line tools](qdeveloper-integration.md)