> For the complete documentation index, see [llms.txt](https://paperspace.gitbook.io/gradient/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://paperspace.gitbook.io/gradient/get-started/tutorials-list.md).

# Tutorials

The following tutorials cover the main entities within Gradient. 

### Introduction to Gradient

{% content-ref url="/pages/-LHZRFUlycuxVY9Xdtiy" %}
[About Gradient](/gradient/readme.md)
{% endcontent-ref %}

### Gradient Notebooks Tutorial

{% content-ref url="/pages/IWnchl8Ncv4AedffAH9j" %}
[Gradient Notebooks Tutorial](/gradient/get-started/tutorials-list/gradient-notebooks-tutorial.md)
{% endcontent-ref %}

### Gradient Workflows Tutorial

{% content-ref url="/pages/msOg38q02aa10vy23Tq7" %}
[Gradient Workflows Tutorial](/gradient/get-started/tutorials-list/gradient-workflows-tutorial.md)
{% endcontent-ref %}

### Gradient Deployments Tutorial

{% content-ref url="/pages/BYnR11Rp0vsPCv8redU4" %}
[Gradient Deployments Tutorial](/gradient/get-started/tutorials-list/gradient-deployments-tutorial.md)
{% endcontent-ref %}

### Additional Tutorials

Gradient hosts an [ML Showcase ](https://ml-showcase.paperspace.com/)which contains a wide variety of starter Notebooks and Workflows:

{% embed url="<https://ml-showcase.paperspace.com/>" %}

There are also a number of starter project repos available in the [Gradient AI](https://github.com/gradient-ai) organization on GitHub:

{% embed url="<https://github.com/gradient-ai>" %}