AI Product Management
offered by Duke University

Private University
9000 acre campus
Estd. 1838

AI Product Management
at
Duke University
Overview

Gain a comprehensive overview of the Product Management principles and concepts

Duration	4 months
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Website
Course Level	UG Certificate

AI Product Management
at
Duke University
Highlights

Earn a certificate upon completion
Learn from expert faculty

AI Product Management
at
Duke University
Course details

Skills you will learn

Data Science Brand management

Who should do this course?

Professionals responsible for defining the strategy, roadmap, and feature prioritization for AI-powered products

What are the course deliverables?

Identify when and how machine learning can applied to solve problems
Apply human-centered design practices to design AI product experiences that protect privacy and meet ethical standards
Lead machine learning projects using the data science process and best practices from industry

More about this course

Manage the Design & Development of ML Products. Understand how machine learning works and when and how it can be applied to solve problems
Learn to apply the data science process and best practices to lead machine learning projects, and how to develop human-centered AI products which ensure privacy and ethical standards

AI Product Management
at
Duke University
Curriculum

Machine Learning Foundations for Product Managers

Managing Machine Learning Projects

Human Factors in AI

AI Product Management
at
Duke University
Faculty details

Jon Reifschneider

Jon Reifschneider is the Director of Masters Studies for the Artificial Intelligence for Product Innovation (AIPI) program in Duke University's Pratt School of Engineering, where he also teaches graduate courses in machine learning. Prior to joining the Duke faculty, Jon spent 15 years in management roles at data services and analytics companies.