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lite $19.99 per month
- access to all Manning books, including MEAPs!
team
5, 10 or 20 seats+ for your team - learn more
Look inside
Help your company’s messenger application provide better product recommendations for its customers. As a data engineer at the company, your task is to create a machine learning (ML) pipeline using the Amazon Personalize service. You’ll use CloudFormation templates to create a repository for the required AWS infrastructure resources, and AWS Glue to transform the raw user engagement data. Using Amazon Personalize, you’ll import a dataset and create and train the Amazon Personalize ML model for your users’ recommendations. To complete the project, you’ll create a workflow to train your Amazon Personalize recommendation solution using AWS Step Functions and user engagement events. When you’re done, you’ll have designed an ML pipeline using the Amazon Personalize API that provides product recommendations that suit your users best.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book resources
When you start your liveProject, you get full access to the following books for 90 days.
prerequisites
This liveProject is for intermediate Python programmers who are interested in building an ML data pipeline using AWS.
TOOLS- Basic Python skills and knowledge
- Advanced shell scripting skills
- AWS account
- Basic cloud computing skills
- Basic knowledge of the MySQL database
- Basic knowledge of AWS Lambda serverless infrastructure
you will learn
In this liveProject, you’ll learn how to create an ML data pipeline that provides targeted user product recommendations with AWS Glue and Amazon Personalize.
- Create a data lake S3 bucket using an AWS CloudFormation template (Infrastructure as Code) and prepare data using AWS Glue
- Design a data pipeline to create and train an Amazon Personalize solution
- Deploy the pipeline using AWS Step Functions and AWS CloudFormation (Infrastructure as Code)
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
choose your plan
pro
monthly
annual
$24.99
$249.99
only $20.83 per month
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
-
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ML Pipeline with Amazon Personalize project for free
ML Pipeline with Amazon Personalize project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
-
![]()
ML Pipeline with Amazon Personalize project for free
