# Get the Amazon SageMaker AI Boto 3 Client
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Import Amazon SageMaker Python SDK, AWS SDK for Python (Boto3), and other Python libraries. In a new Jupyter notebook, paste the following code to the first cell:

```
import sagemaker
import boto3

import numpy as np                                # For performing matrix operations and numerical processing
import pandas as pd                               # For manipulating tabular data
from time import gmtime, strftime
import os

region = boto3.Session().region_name
smclient = boto3.Session().client('sagemaker')
```

The preceding code cell defines `region` and `smclient` objects that you will use to call the built-in XGBoost algorithm and set the SageMaker AI hyperparameter tuning job.

## Next Step
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[Get the SageMaker AI Execution Role](automatic-model-tuning-ex-role.md)