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# System prepended metadata

title: README

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# README
This repository contains the solution of Team B for its additional task to explain the AWS SageMaker service.

### Team and Project
Team B consists of the following three Students: 
* Atilla Özyurt - 315355
* Simon Rapp - 323680
* Marvin Staps - 315943

All required files and projects can be found within the [Git Repository of Team B](https://github.com/hochschule-pforzheim/aws-services-example-team-b).
The task covered the description of SageMaker, as well as a typical scenario to use SageMaker via (Command Line Interface) CLI and via a Software Development Kit (SDK).

### Service Desciption
The description of the AWS service SageMaker can be found within the markdown file [SageMaker-Service-Description.md](https://github.com/hochschule-pforzheim/aws-services-example-team-b/blob/main/SageMaker-Service-Description.md).


### CLI Usage
The documentation on how to access SageMaker via a CLI can be found in the file [SagerMaker-usage-through-CLI.md](https://github.com/hochschule-pforzheim/aws-services-example-team-b/blob/main/SagerMaker-usage-through-CLI.md)


### SDK Usage
Team B created a python project that uses Boto3 SDK in order to access SageMaker. This project has been uploaded to the git repository within the folder [SDK_Project](https://github.com/hochschule-pforzheim/aws-services-example-team-b/tree/main/SDK_Project) which can be pulled and executed within Visual Studio Code.

The respective documentation for the Boto3 SDK project can be found in the file [SageMaker-usage-through-SDK-(Boto3).md](https://github.com/hochschule-pforzheim/aws-services-example-team-b/blob/main/SageMaker-usage-through-SDK-(Boto3).md).