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Build a Generative AI Model

This course will teach you how to design, train, and evaluate generative models to create synthetic data and improve real-world ML workflows.

Intermediate
54m

Created by Ed Freitas

Last Updated Feb 07, 2026

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  • Course

Build a Generative AI Model

This course will teach you how to design, train, and evaluate generative models to create synthetic data and improve real-world ML workflows.

Intermediate
54m

Created by Ed Freitas

Last Updated Feb 07, 2026

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What you'll learn

Globomantics, a global logistics company, struggles with inconsistent shipment info and limited labeled data, making it difficult to detect damaged packages accurately. In this course, Build a Generative AI Model, you’ll gain the ability to design, train, and evaluate generative models that improve real-world machine learning workflows. First, you’ll explore how to construct and train autoencoders for unsupervised representation learning and data reconstruction. Next, you’ll discover how to extend these concepts into Generative Adversarial Networks (GAN) and stabilize their adversarial training. Finally, you’ll learn how to visualize latent spaces, generate synthetic samples, and evaluate overall model performance.

Build a Generative AI Model
Intermediate
54m
Table of contents

About the author
Ed Freitas - Pluralsight course - Build a Generative AI Model
Ed Freitas
57 courses 4.2 author rating 1186 ratings

Eduardo is a technology enthusiast, software architect and customer success advocate. He's designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions. He's a well-known specialist in the Enterprise Content Management market segment, specifically focusing on data capture & extraction and document process automation.

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