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Setting Up a Jupyter Notebook in Google Cloud Console

Initial Access

  1. Navigate to Google Cloud Console using this URL: https://console.cloud.google.com/welcome
  2. In the search bar at the top of the console, type "Vertex AI" and select it from the search results

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Setting Up Vertex AI Workbench

  1. Within Vertex AI, locate and select "Workbench" from the available options

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  1. Click "Create New Instance" to begin setting up your Jupyter environment

Configuring Your Instance

  1. Basic Setup:
    • Provide a meaningful name for your instance
    • Click "Advanced Options" to access additional configuration settings

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  1. Environment Configuration:
    • Navigate to the "Environment" tab
    • Select "JupyterLab 4" as your development environment

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  • Look for the "Startup Script" option

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  • Click "Browse" to locate the script

  • Paste to "gs://nigms-sandbox/nosi-duke/post_start_clean_032225.sh"

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  1. Machine Configuration:

    • For machine type, the default settings are typically sufficient

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    • Important: Ensure "Enable idle shutdown" is checked to avoid unnecessary resource usage

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  • Click "Create" at the bottom of the page

Launching JupyterLab

  1. Wait approximately 3-5 minutes for the instance to be fully provisioned
  2. Once provisioning is complete, click "Start JupyterLab" to launch the environment

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Setting Up Your Project Repository

  1. In JupyterLab, locate and click the Git button in the sidebar

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  1. Select "Clone a Repository"

  2. Enter the following repository URL: https://github.com/mitomac/duke_nigms_sandbox.git

  3. Click "Clone" to download the repository

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  1. Navigate into the project by double-clicking the "duke_nigms_sandbox" folder to access the modules

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Working with notebooks

  1. If you're working with R notebooks, you'll be prompted to select a kernel

  2. Choose the R kernel when prompted to ensure proper execution of R code

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AI Assistant

  1. Start the AI assistant

    image-20250127202922005

  2. Generate and copy API key by running through Module 0 notebook.

  3. Select a google gemini model and input the API key you just generated.

    image-20250127202818547

Additional Tips:

  • Keep track of your instance's running time to manage resources effectively

  • Save your work regularly

  • Consider bookmarking the Google Cloud Console URL for easier access in the future