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Managing AI Products: Designing the AI Product Experience

AI features need clear expectations and meaningful user control. This course will teach you how to design AI product experiences that communicate limitations, support recovery from errors, and match autonomy to risk.

Intermediate
35m

Created by Keerthi Pushpajan

Last Updated Oct 27, 2026

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  • Course

Managing AI Products: Designing the AI Product Experience

AI features need clear expectations and meaningful user control. This course will teach you how to design AI product experiences that communicate limitations, support recovery from errors, and match autonomy to risk.

Intermediate
35m

Created by Keerthi Pushpajan

Last Updated Oct 27, 2026

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What you'll learn

AI features can create unrealistic expectations and leave users unsure what to do when outputs are wrong. In this course, Managing AI Products: Designing the AI Product Experience, you’ll gain the ability to design AI experiences that set accurate expectations and keep users in control. First, you’ll explore how to shape users’ mental models, communicate capabilities and limitations, and present uncertainty. Next, you’ll discover how to provide meaningful control, clear recovery paths, and useful feedback mechanisms. Finally, you’ll learn how to translate risk assessment findings into appropriate levels of AI autonomy and human oversight. When you’re finished with this course, you’ll have the skills and knowledge of AI product experience design needed to define how users understand, guide, and recover from AI behavior.

Managing AI Products: Designing the AI Product Experience
Intermediate
35m
Table of contents

About the author
Keerthi Pushpajan - Pluralsight course - Managing AI Products: Designing the AI Product Experience
Keerthi Pushpajan
6 courses 0.0 author rating 0 ratings

Keerthi is a computer engineer focused on testing and AI, and also runs a growing artificial jewellery brand. She enjoys combining tech with creative problem-solving - both in code and in business.

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