> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Using Workbench

> [card] [Projects](https://anaconda.com/docs/data-science/latest/data-science-workflows/projects/main.md)
>
> Create, edit, and run projects in Workbench

> [card] [Working with channels and packages](https://anaconda.com/docs/data-science/latest/data-science-workflows/packages/main.md)
>
> Add channels and install packages in your projects

> [card] [Using installers, parcels and management packs](https://anaconda.com/docs/data-science/latest/data-science-workflows/installers.md)
>
> Build and distribute custom Anaconda installers

> [card] [Working with data](https://anaconda.com/docs/data-science/latest/data-science-workflows/data/main.md)
>
> Load data from files, databases, and shared drives

> [card] [Deployments](https://anaconda.com/docs/data-science/latest/data-science-workflows/deployments/main.md)
>
> Deploy and share your projects as web applications or APIs

> [card] [Schedules](https://anaconda.com/docs/data-science/latest/data-science-workflows/schedules.md)
>
> Schedule projects to run at set times

> [card] [Using GPUs in sessions and deployments](https://anaconda.com/docs/data-science/latest/data-science-workflows/gpu.md)
>
> Access GPU resources for sessions and deployments

> [card] [User settings](https://anaconda.com/docs/data-science/latest/data-science-workflows/user-settings.md)
>
> Configure your account and personal settings

> [card] [Secrets](https://anaconda.com/docs/data-science/latest/data-science-workflows/secrets.md)
>
> Store and manage credentials for your projects

> [card] [Configuring user access to external version control](https://anaconda.com/docs/data-science/latest/data-science-workflows/external-repo-user.md)
>
> Connect your projects to Git and Bitbucket repositories

> [card] [Visualizations and dashboards](https://anaconda.com/docs/data-science/latest/data-science-workflows/viz.md)
>
> Create and deploy interactive visualizations

> [card] [Machine learning and deep learning](https://anaconda.com/docs/data-science/latest/data-science-workflows/ml-deep-learn/main.md)
>
> Build and train ML and deep learning models