> For the complete documentation index, see [llms.txt](https://docs.brevetti.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.brevetti.ai/developers/tutorials.md).

# Tutorials

## Build your own

We have made a small application sample you can use as base when developing model and report types to the platform, including an example CI pipeline for bitbucket.

[Telescope application bitbucket repository](https://bitbucket.org/criterionai/telescope/src/master/)

## Try it out

Tutorials are available to form the basis of the brevettiai python sdk documentation, and each tutorial is a stand-alone jupyter notebook that can illustrate part of the API.

The notebook are linked directly to Google Colab instances that can be used to run the notebooks.

* [1 Brevettiai Web Api Documentation](https://githubtocolab.com/brevettiai/brevettiai-docs/blob/master/src/developers/python-sdk-brevettiai/1_brevettiai_web_api_documentation.ipynb)
* [2 Brevettiai Job Api Platform Interfaces Documentation](https://githubtocolab.com/brevettiai/brevettiai-docs/blob/master/src/developers/python-sdk-brevettiai/2_brevettiai_job_api_platform_interfaces_documentation.ipynb)
* [3 Brevettiai Data Science Tools](https://githubtocolab.com/brevettiai/brevettiai-docs/blob/master/src/developers/python-sdk-brevettiai/3_brevettiai_data_science_tools.ipynb)
* [A Brevetti Ai Image Classifier 101](https://githubtocolab.com/brevettiai/brevettiai-docs/blob/master/src/developers/python-sdk-brevettiai/a_brevetti_AI_Image_classifier_101.ipynb)
* [Brevettiai Data Access](https://githubtocolab.com/brevettiai/brevettiai-docs/blob/master/src/tutorials/BrevettiAI_data_access.ipynb)