Welcome to Gretel University

This is your guide to our synthetic data platform, showing you how easily you can generate high-quality data while deepening your understanding of its critical role in generative AI. You'll learn to create custom datasets and evaluate data quality, utility, and privacy.

Introduction

In this course, we’ll walk you through our platform of generative AI models and show you how easy it is to generate high-quality synthetic data. By the end of the course, you’ll have a deeper understanding of how synthetic data plays a pivotal role in training generative AI models and how to get started generating your own dataset.

Who is this course for?

This course is for AI and ML practitioners, data scientists, and researchers building or fine-tuning generative models who may be new users to synthetic data and the Gretel platform.

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High-quality synthetic data

Learn about Gretel Navigator, our compound AI system, and Navigator Fine Tuning, our LLM-based AI system, designed to elevate your AI initiatives.

Enterprise-grade platform

Explore everything from evaluating synthetic data output to integrating it into your ML stack to deploying at scale.

Private and compliant by design

Discover our privacy-first approach to synthetic data and how to leverage the platform for optimal data privacy protection.

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