Duke University
AI Product Management Specialization
Duke University

AI Product Management Specialization

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.

Jon Reifschneider

Instructor: Jon Reifschneider

Sponsored by Duke Alumni

35,671 already enrolled

Get in-depth knowledge of a subject
4.7

(568 reviews)

Beginner level

Recommended experience

4 months
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(568 reviews)

Beginner level

Recommended experience

4 months
at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

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Taught in English

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  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Duke University
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Specialization - 3 course series

Machine Learning Foundations for Product Managers

Course 114 hours4.6 (462 ratings)

What you'll learn

Skills you'll gain

Category: Machine Learning
Category: Machine Learning Algorithms
Category: Probability & Statistics
Category: Regression
Category: Applied Machine Learning
Category: Data Analysis
Category: Deep Learning

Managing Machine Learning Projects

Course 218 hours4.8 (187 ratings)

What you'll learn

Skills you'll gain

Category: Machine Learning

Human Factors in AI

Course 317 hours4.7 (103 ratings)

What you'll learn

  • Identify and mitigate privacy and ethical risks in AI projects

  • Apply human-centered design practices to design successful AI product experiences

  • Build AI systems that augment human intelligence and inspire model trust in users

Skills you'll gain

Category: Machine Learning

Instructor

Jon Reifschneider
Duke University
3 Courses54,156 learners

Offered by

Duke University

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