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Feature Engineering with Generative AI

Generative AI can accelerate feature engineering, but only if you know which features to trust. This course teaches data scientists how to generate, validate, and package better features into reusable workflows.

Intermediate
38m

Created by Xavier Morera

Last Updated May 11, 2026

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  • Course

Feature Engineering with Generative AI

Generative AI can accelerate feature engineering, but only if you know which features to trust. This course teaches data scientists how to generate, validate, and package better features into reusable workflows.

Intermediate
38m

Created by Xavier Morera

Last Updated May 11, 2026

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What you'll learn

Feature engineering is often where solid data science projects slow down: ideas arrive late, business context is thin, and useful notebook experiments never become repeatable workflows. In this course, Feature Engineering with Generative AI, you’ll learn to generate, validate, and operationalize features using generative AI as a copilot, not an autopilot. First, you’ll use AI assistance to propose and validate feature transformations across structured and unstructured data. Next, you’ll turn business context into defensible, domain-specific feature ideas with a repeatable judgment framework. Finally, you’ll move from notebook experimentation to automated, reusable feature workflows. When you’re finished with this course, you’ll have the skills and knowledge of AI-assisted feature engineering needed to build faster, safer, and reusable feature pipelines.

Feature Engineering with Generative AI
Intermediate
38m
Table of contents

About the author
Xavier Morera - Pluralsight course - Feature Engineering with Generative AI
Xavier Morera
63 courses 4.2 author rating 3259 ratings

Xavier is very passionate about teaching, helping others understand Generative AI, ML, Search, and Big Data. He is also an entrepreneur, project manager, technical author, trainer, and holds a few certifications with Cloudera, Microsoft, and the Scrum Alliance, along with being a Microsoft MVP.

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