- Course
- AI
A/B Deployment for Generative AI
Learn how to effectively apply A/B testing to Generative AI deployment. This course will teach you how to design A/B testing setups, analyze performance metrics, and optimize GenAI models to enhance performance and results.
What you'll learn
This course is perfect for data scientists and AI professionals looking to enhance model deployment effectiveness. In this course, A/B Deployment for Generative AI, you'll learn how to apply A/B testing to optimize generative AI models.
First, you'll understand the principles of A/B testing. Then, you'll learn how to design an effective A/B deployment setup for generative AI. Finally, you'll analyze performance metrics to refine and optimize models. By the end of the course, you’ll be equipped to implement A/B testing in real-world AI applications, evaluate model performance using key metrics, and make data-driven adjustments to improve generative AI outcomes.
Table of contents
About the author
Dr. Yasir Khan is a global tech consultant and 38Labs founder. He's passionate about digital transformation, data & AI, and regularly shares technology insights on Pluralsight.