Accessing CLI in Notebooks AI Development Platform

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Accessing the Terminal from JupyterLab Notebook Instance

In the AI Development Platform (hosted on AWS SageMaker), you can access the terminal directly from your JupyterLab environment to use command-line tools such as the AWS CLI, Git, or Python scripts.

Prerequisites

  • Access to your DeepSense AI Platform's Notebook project environment.
  • JupyterLab interface opened under your assigned project.

Steps to Open the Terminal

  1. From the JupyterLab interface, click on the + icon to open the Launcher tab.
  2. Under the Other section, click on Terminal.
  3. A new terminal tab will open within your notebook environment.
  4. You can now run shell commands (e.g., to interact with AWS S3, manage files, or install dependencies).

Notes

  • The terminal runs inside your notebook instance — all operations execute within the same compute environment.
  • Avoid installing system-wide packages unless instructed by your project lead.
  • For instructions on using the AWS CLI inside this terminal, see AWS S3 Bucket Access.
  • To close the terminal, simply click the X icon on the terminal tab.
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