IT & Software PluralSight – Creating Synthetic Datasets with Generative AI 2026 (1 Viewer)

[protectaccount]

​

Synthetic data is essential for modern ML workflows, but generating realistic, useful datasets while preserving privacy can be challenging. Learn how to leverage generative AI to create high-quality synthetic datasets for various data related tasks.

What you’ll learn

Many organizations struggle with limited data availability, privacy constraints, and the need for diverse training datasets. Manual synthetic data generation is time-consuming and requires deep statistical expertise.

In this course, Creating Synthetic Datasets with Generative AI, you’ll learn to generate and validate production-ready synthetic datasets using AI assistance.

First, you’ll explore how to use AI-generated code to create datasets with specific statistical distributions, and mimic real-world data patterns.

Next, you’ll discover privacy-preserving techniques including anonymization strategies and differential privacy mechanisms.

Finally, you’ll learn how to validate synthetic data quality using fidelity, utility, and privacy metrics.

When you’re finished with this course, you’ll have the skills and knowledge of AI-assisted synthetic data generation needed to create realistic, privacy-compliant datasets that enhance your machine learning workflows.

Link:

To view the content, you need to Sign In or Register.

Click to read more...

 

[bx2229]

​

Synthetic data is essential for modern ML workflows, but generating realistic, useful datasets while preserving privacy can be challenging. Learn how to leverage generative AI to create high-quality synthetic datasets for various data related tasks.

What you’ll learn

Many organizations struggle with limited data availability, privacy constraints, and the need for diverse training datasets. Manual synthetic data generation is time-consuming and requires deep statistical expertise.

In this course, Creating Synthetic Datasets with Generative AI, you’ll learn to generate and validate production-ready synthetic datasets using AI assistance.

First, you’ll explore how to use AI-generated code to create datasets with specific statistical distributions, and mimic real-world data patterns.

Next, you’ll discover privacy-preserving techniques including anonymization strategies and differential privacy mechanisms.

Finally, you’ll learn how to validate synthetic data quality using fidelity, utility, and privacy metrics.

When you’re finished with this course, you’ll have the skills and knowledge of AI-assisted synthetic data generation needed to create realistic, privacy-compliant datasets that enhance your machine learning workflows.

Link:
* Hidden text: cannot be quoted. *
​

ssssssssssssss