Skip to main content

AWS Solutions Library

Overview

Maintaining Personalized Experiences with Machine Learning helps you build custom Amazon Personalize experiences for your product portfolio, including custom recommendation models at scale. This AWS Solution streamlines and accelerates the development and deployment of your personalization workloads through automation and scheduled updates for resources within Amazon Personalize.

Benefits

Automate the creation of all resources in Amazon Personalize upfront to save on time and costs.
Define and build recommendation models automatically by declaring their configuration.
Integrate workflows around Amazon Personalize into your applications.

How it works

You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template.

View implementation guide

About this deployment

  • Version: 1.4.6

  • Released: 6/2025

  • Author: AWS

  • Est. deployment time: 5 mins

  • Estimated cost: See details

Deploy with confidence

Everything you need to launch this AWS Solution in your account is right here

We'll walk you through it

Get started fast. Read the implementation guide for deployment steps, architecture details, cost information, and customization options.

Open guide

Let's make it happen

Ready to deploy? Open the CloudFormation template in the AWS Console to begin setting up the infrastructure you need. You'll be prompted to access your AWS account if you haven't yet logged in. 

Launch in the AWS Console

Related content

This video shows you how to streamline and accelerate the development, automation, and deployment of your Amazon Personalize workloads using Maintaining Personalized Experiences with Machine Learning.