> For the complete documentation index, see [llms.txt](https://aizen-corp.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aizen-corp.gitbook.io/docs/getting-started/using-the-aizen-jupyter-console.md).

# Using the Aizen Jupyter Console

Aizen provides a JupyterLab interface called the Aizen Jupyter console for you to manage ML jobs.

## Launching the Aizen Jupyter Console

1. In a browser, enter the application URL: `http://<KUBERNETES CLUSTER INGRESS HOST>/aizen/console`.
2. In the **Sign in** dialog box, enter your username and password, and click the **Sign in** button.

   ![](/files/ZQh0fq6Zo93F3YTLz22q)\
   \
   This will launch the Aizen Jupyter console:

   <figure><img src="/files/d7sAKgAKw5lBozL78NsQ" alt=""><figcaption><p>Aizen Jupyter Console</p></figcaption></figure>

## Creating a Working Folder

It is recommended that you create a working folder for your project's ML files and then launch the notebook within that folder.

1. To create a working folder, right-click on the folders pane on the left side and select **New Folder** from the drop-down menu:\
   ![](/files/6lAAkGJM459HHXfCEBzp)
2. Enter a name for your project:\
   ![](/files/16LdX7aa5kUVJqKKWzWI)

## Opening the Aizen Notebook

1. Open the project folder that you created by double-clicking on the folder name.\
   ![](/files/LcVHnfFZkU2geqrb7zfj)
2. Click on the **Aizen (kernel)** notebook button to launch the notebook.\
   ![](/files/ZowR5qb4JhIl6o09U2gG)

   \
   The Aizen notebook interface will appear:<br>

   <figure><img src="/files/kqMWnfmlmgzeD4r3xJ8X" alt=""><figcaption><p>Aizen Notebook</p></figcaption></figure>

In the Aizen notebook, you can run commands to create an ML project and to manage your ML workflow, such as configuring data sources and training and serving an ML model.

## Creating a Project

Create a project for your ML workflow. All your ML jobs execute under a project. Typically, you will create a single project for all ML workflows related to the same set of data sources.

1. To create a project, enter the `create project <project name>` command in the code cell of the Aizen notebook:<br>

   <figure><img src="/files/48oADL8n9QAaDgOi7IKu" alt=""><figcaption></figcaption></figure>
2. Click the run icon in the toolbar to execute the command:<br>

   <figure><img src="/files/Dla5UHiBxSmeHrLMQmkM" alt=""><figcaption></figcaption></figure>
3. When the `create project` command finishes executing, you will see a `Created project` message indicating that the project was created.<br>

   <figure><img src="/files/cbN2LOgO3Pp0dri8EwYX" alt=""><figcaption></figcaption></figure>

The current working project is now set to the project that you just created.