# Getting Started

This tutorial outlines the process of building your own recommendation model, improving it, and then cleaning up all of your resources to prevent any unwanted charges. To get started executing these follow the steps in the next section.

1. `1.Building_Your_First_Campaign.ipynb`  - Guides you through building your first campaign and recommendation algorithm. 
2. `2.View_Campaign_And_Interactions.ipynb` - Showcase how to generate a recommendation and how to modify it with real time intent. 
4. `Cleanup.ipynb` - Deletes anything that was created so you are not charged for additional resources.

You can download the Jupyter notebooks from the `/notebooks` folder or deploy the following Cloud Formation template which clones this repo.

If you have any issues with any of the content please open an issue here in the repository.