This tutorial walks through navigating workspaces in AI Studio. After starting a project, connecting data, and downloading the necessary workspace, the workspace card is accessed, and the workspace typically spins up in 15-40 seconds.

Once ready, the workspace opens in Jupyter Notebook, the integrated IDE within AI Studio. The tutorial demonstrates how to view and navigate data files, adjust screen size, and interact with models in Jupyter.

Key tabs in the workspace include:

• Monitor: Integrated with MLflow and TensorBoard for tracking model runs and comparisons.
• Setup and Documentation: Used for setting up project assets, such as cloning GitHub repositories.
• Publish Services: Allows models to be deployed as services for local inferencing.

This guide covers the essential features for efficiently managing projects within AI Studio.

Feel free to leave a comment if you have any questions!

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