# 4.4 Build SageMaker Pipelines with Custom Container

이번 Lab에서는 사용자 지정 컨테이너 이미지를 빌드하여 YOLOv8 모델의 학습 및 배포를 자동화하는 MLOps pipeline을 구성하고, 배포된 SageMaker endpoint를 노트북 환경에서 테스트할 수 있는 실습을 진행하겠습니다.

{% hint style="info" %}
MLOps pipeline을 구성하지 않고, SageMaker Studio에서 노트북만 배포해서 사용할 경우, [4.3 Deploy SageMaker Endpoint With Pretrained Model](/sagemaker-image-workshop/lab4.-use-your-own-model-or-algorithm/4.3-deploy-sagemaker-endpoint-with-pretrained-model.md)로 이동하여 실습을 진행해주세요.
{% endhint %}


---

# 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/4.4-build-sagemaker-pipelines-with-custom-container.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.
