# Create an Amazon SageMaker Notebook Instance for the tutorial


**Important**  
Custom IAM policies that allow Amazon SageMaker Studio or Amazon SageMaker Studio Classic to create Amazon SageMaker resources must also grant permissions to add tags to those resources. The permission to add tags to resources is required because Studio and Studio Classic automatically tag any resources they create. If an IAM policy allows Studio and Studio Classic to create resources but does not allow tagging, "AccessDenied" errors can occur when trying to create resources. For more information, see [Provide permissions for tagging SageMaker AI resources](security_iam_id-based-policy-examples.md#grant-tagging-permissions).  
[AWS managed policies for Amazon SageMaker AI](security-iam-awsmanpol.md) that give permissions to create SageMaker resources already include permissions to add tags while creating those resources.

An Amazon SageMaker notebook instance is a fully-managed machine learning (ML) Amazon Elastic Compute Cloud (Amazon EC2) compute instance. An Amazon SageMaker notebook instance runs the Jupyter Notebook application. Use the notebook instance to create and manage Jupyter notebooks for preprocessing data, train ML models, and deploy ML models.

**To create a SageMaker notebook instance**  
![\[Animated screenshot that shows how to create a SageMaker notebook instance.\]](http://docs.aws.amazon.com/sagemaker/latest/dg/images/get-started-ni/gs-ni-create-instance.gif)

1. Open the Amazon SageMaker AI console at [https://console.aws.amazon.com/sagemaker/](https://console.aws.amazon.com/sagemaker/).

1. Choose **Notebook instances**, and then choose **Create notebook instance**.

1. On the **Create notebook instance** page, provide the following information (if a field is not mentioned, leave the default values):

   1. For **Notebook instance name**, type a name for your notebook instance.

   1. For **Notebook Instance type**, choose `ml.t2.medium`. This is the least expensive instance type that notebook instances support, and is enough for this exercise. If a `ml.t2.medium` instance type isn't available in your current AWS Region, choose `ml.t3.medium`.

   1. For **Platform Identifier**, choose a platform type to create the notebook instance on. This platform type defines the Operating System and the JupyterLab version that your notebook instance is created with. The latest and recommended version is `notebook-al2023-v1`, for an Amazon Linux 2023 notebook instance. For information about platform identifier types, see [AL2023 notebook instances](nbi-al2023.md) and [Amazon Linux 2 notebook instances](nbi-al2.md). For information about JupyterLab versions, see [JupyterLab versioning](nbi-jl.md).

   1. For **IAM role**, choose **Create a new role**, and then choose **Create role**. This IAM role automatically gets permissions to access any S3 bucket that has `sagemaker` in the name. It gets these permissions through the `AmazonSageMakerFullAccess` policy, which SageMaker AI attaches to the role. 
**Note**  
If you want to grant the IAM role permission to access S3 buckets without `sagemaker` in the name, you need to attach the `S3FullAccess` policy. You can also limit the permissions to specific S3 buckets to the IAM role. For more information and examples of adding bucket policies to the IAM role, see [Bucket Policy Examples](https://docs.aws.amazon.com/AmazonS3/latest/userguide/example-bucket-policies.html).

   1. Choose **Create notebook instance**. 

      In a few minutes, SageMaker AI launches a notebook instance and attaches a 5 GB of Amazon EBS storage volume to it. The notebook instance has a preconfigured Jupyter notebook server, SageMaker AI and AWS SDK libraries, and a set of Anaconda libraries.

      For more information about creating a SageMaker notebook instance, see [Create a Notebook Instance](https://docs.aws.amazon.com/sagemaker/latest/dg/howitworks-create-ws.html). 

## (Optional) Change SageMaker Notebook Instance Settings


To change the ML compute instance type or the size of the Amazon EBS storage of a SageMaker AI notebook instance, edit the notebook instance settings.

**To change and update the SageMaker Notebook instance type and the EBS volume**

1. On the **Notebook instances** page in the SageMaker AI console, choose your notebook instance.

1. Choose **Actions**, choose **Stop**, and then wait until the notebook instance fully stops.

1. After the notebook instance status changes to **Stopped**, choose **Actions**, and then choose **Update settings**.  
![\[Animated screenshot that shows how to update SageMaker notebook instance settings.\]](http://docs.aws.amazon.com/sagemaker/latest/dg/images/get-started-ni/gs-ni-update-instance.gif)

   1. For **Notebook instance type**, choose a different ML instance type.

   1. For **Volume size in GB**, type a different integer to specify a new EBS volume size.
**Note**  
EBS storage volumes are encrypted, so SageMaker AI can't determine the amount of available free space on the volume. Because of this, you can increase the volume size when you update a notebook instance, but you can't decrease the volume size. If you want to decrease the size of the ML storage volume in use, create a new notebook instance with the desired size. 

1. At the bottom of the page, choose **Update notebook instance**. 

1. When the update is complete, **Start** the notebook instance with the new settings.

For more information about updating SageMaker notebook instance settings, see [Update a Notebook Instance](https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-update.html). 

## (Optional) Advanced Settings for SageMaker Notebook Instances


The following tutorial video shows how to set up and use SageMaker notebook instances through the SageMaker AI console. It includes advanced options, such as SageMaker AI lifecycle configuration and importing GitHub repositories. (Length: 26:04)

[![AWS Videos](http://img.youtube.com/vi/https://www.youtube.com/embed/X5CLunIzj3U/0.jpg)](http://www.youtube.com/watch?v=https://www.youtube.com/embed/X5CLunIzj3U)


For complete documentation about SageMaker notebook instance, see [Use Amazon SageMaker notebook Instances](https://docs.aws.amazon.com/sagemaker/latest/dg/nbi.html).