AI Notebooks with GitHub repo in GCP

Overview

We will create a bucket using the GCP console, launch AI Platform Notebooks and clone a GitHub repository within that AI Platform instance.

Create a bucket using the GCP console

In your GCP Console, click on the Navigation menu (), and select Storage.

2. Click on Create bucket.

3. Choose a Regional bucket and set a unique name (use your project ID because it is unique). Then, click Create.

Launch AI Platform Notebooks

To launch AI Platform Notebooks:

1. Click on the Navigation Menu. Navigate to AI Platform, then to Notebooks.

2. On the Notebook instances page, click

And select the version of TensorFlow you want. I have used Tensorflow 2.x without GPUs.

3. In the pop-up, added the instance Name, Region and Zone and then pressed “Create”. It took around 2 minutes to start.

4. Click Open JupyterLab. A JupyterLab window will open in a new tab.

Clone repo within your AI Platform Notebooks instance

To clone the training-data-analyst notebook in your JupyterLab instance:

1. In JupyterLab, click the Terminal icon to open a new terminal.

2. At the command-line prompt, type the following command and press Enter.

git clone https://github.com/goncaloperes/training-data-analyst.git

And that’s it! Now, feel free to explore its content.