# 4.3 Deploy SageMaker Endpoint With Pretrained Model

이번 실습에서는 모델의 학습 없이 SageMaker Studio Notebook 환경에서 배포 컨테이너를 생성하고 빌드한 YOLOv8 모델을 호스팅하는 실습을 진행합니다.

{% hint style="info" %}
SageMaker Pipelines와 CodePipeline을 이용한 MLOps pipeline을 구성하고, 학습 및 배포를 실습하고자 하는 경우 [4.4 Build SageMaker Pipelines with Custom Container](/sagemaker-image-workshop/lab4.-use-your-own-model-or-algorithm/4.4-build-sagemaker-pipelines-with-custom-container.md)로 이동하여 실습을 진행해주세요.
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://cheolmin-ki.gitbook.io/sagemaker-image-workshop/lab4.-use-your-own-model-or-algorithm/4.3-deploy-sagemaker-endpoint-with-pretrained-model.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.