# Source: https://docs.squared.ai/guides/sources/data-sources/aws_sagemaker-model.md

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# AWS Sagemaker Model

## Connect AI Squared to AWS Sagemaker Model

This guide will help you configure the AWS Sagemaker Model Connector in AI Squared to access your AWS Sagemaker Model Endpoint.

### Prerequisites

Before proceeding, ensure you have the necessary access key, secret access key, and region from AWS.

## Step-by-Step Guide to Connect to an AWS Sagemaker Model Endpoint

## Step 1: Navigate to AWS Console

Start by logging into your AWS Management Console.

1. Sign in to your AWS account at [AWS Management Console](https://aws.amazon.com/console/).

## Step 2: Locate AWS Configuration Details

Once you're in the AWS console, you'll find the necessary configuration details:

1. **Access Key and Secret Access Key:**

   * Click on your username at the top right corner of the AWS Management Console.
   * Choose "Security Credentials" from the dropdown menu.
   * In the "Access keys" section, you can create or view your access keys.
   * If you haven't created an access key pair before, click on "Create access key" to generate a new one. Make sure to copy the Access Key ID and Secret Access Key as they are shown only once.
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2. **Region:**
   * The AWS region can be selected from the top right corner of the AWS Management Console. Choose the region where your AWS Sagemaker resources is located and note down the region.
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## Step 3: Configure AWS Sagemaker Model Connector in Your Application

Now that you have gathered all the necessary details enter the following information:

* **Access Key ID:** Your AWS IAM user's Access Key ID.
* **Secret Access Key:** The corresponding Secret Access Key.
* **Region:** The AWS region where your Sagemaker resources are located.