ToolDix study guide · Course
AI Product Management
Duke University · Jon Reifschneider
A non-coding specialization on machine-learning foundations, project leadership, data processes, human-centered design, privacy, and ethical AI product decisions.
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The original publisher hosts the complete material and the current terms of use.
How to use this resource
Why it matters
It gives product leaders enough technical and delivery vocabulary to work credibly with data, engineering, design, and governance teams.
First practical move
Map one product idea to the data-science lifecycle and identify the decision owner at each stage before selecting a model.
Good fit for
Product managers and cross-functional AI project leads
Source and publishing context
This page is an original ToolDix editorial guide. We do not reproduce the source's full article, course media, figures, or book pages. Official Duke course page; enrollment, course media, and credential terms remain with Duke and its delivery platform.
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