Notebooks and examples on how to onboard and use various features of Amazon Personalize
The getting_started/ folder contains a CloudFormation template that will deploy all the resources you need to build your first campaign with Amazon Personalize.
The notebooks provided can also serve as a template to building your own models with your own data. This repository is cloned into the environment so you can explore the more advanced notebooks with this approach as well.
The next_steps/ folder contains detailed examples of the following typical next steps in your Amazon Personalize journey. This folder contains the following advanced content:
Core Use Cases
Generative AI
Scalable Operations examples for your Amazon Personalize deployments
put_events
into your Personalize Campaigns by using Lambda functions processing new data from S3. To get started navigate to the lambda_examples folder and follow the README instructions.Workshops
Data Science Tools
Demos/Reference Architectures
This sample code is made available under a modified MIT license. See the LICENSE file.