Accessing CLI in Notebooks AI Development Platform
Contents
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
- From the JupyterLab interface, click on the + icon to open the Launcher tab.
- Under the Other section, click on Terminal.
- A new terminal tab will open within your notebook environment.
- 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.
