> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-4/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-list/notebook-list-actions/register-as-job.md).

# Register as Job

{% hint style="success" %}
*Check out the given illustration on registering a DSL Notebook as a Job.*
{% endhint %}

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2FPsU0bswJx15zYyj0MB94%2FRegister%20as%20Job.mp4?alt=media&token=b2bb1d6f-a6cb-4fc9-b748-e62d14d9f57a>" %}

The user can register a Notebook script as a Job using this functionality.&#x20;

* Select a Notebook from the left side panel.
* Navigate to the Notebook List.
* Click the ***Register*** option for the selected Notebook.

<figure><img src="/files/ena2Uo1ynGHNdLYa1DXF" alt=""><figcaption></figcaption></figure>

* The Register as Job page opens.
* Provide the following information:
  * Enter scheduler name
  * Scheduler description
  * Start function
  * Job basinfo
  * Docker Config
    * Choose an option out of Low, Medium, and High
    * Limit - based on the selected docker configuration option (Low/Medium/High) the CPU and Memory limit are displayed.
* Click the ***Save*** option to register the Notebook as a Job.

<figure><img src="/files/Mbw0tp8B3tAha0SlOulv" alt=""><figcaption></figcaption></figure>

* A notification message appears.

<figure><img src="/files/yv0chKY1erqUo1xPa7IH" alt=""><figcaption></figcaption></figure>

* Navigate to the ***List Jobs*** page within the Data Pipeline module.
* The recently registered DS Notebook gets listed with the same name given as the Scheduler name.

<figure><img src="/files/2k6KT11ue0XkakAGMwA9" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark>* *Refer to the* [***Data Science Lab Quick Start Flow***](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow) *page to get an overview of the **Data Science Lab** module in a nutshell.*&#x20;
{% endhint %}


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