Program profile · official sources
AI Product Management Specialization
The 'AI Product Management Specialization' by Duke University on Coursera is a beginner-level, three-course program focusing on the design and development of machine learning products. Instructed by Jon Reifschneider, the curriculum provides a non-coding foundation in machine learning, covering how ML works and when to apply it. Learners will master the data science process to lead ML projects from ideation to production, and apply human-centered design to ensure privacy and ethical standards. The specialization takes about four months to complete at five hours per week. It features hands-on projects, including creating an ML model without coding and designing an ML-based solution. Earning the shareable career certificate requires completing all courses and projects. Overview: 4 months at 5 hours a week. FAQ: 15 weeks at 3–5 hours a week, with courses listed as 6, 5 and 4 weeks respectively. These are separate provider estimates.
Facts checked 28 Sep 2026
- Price
- See pricing
As shown in the United States on 28 September 2026: Included with Coursera Plus. Financial aid is available. Specific monthly subscription price not stated in text. No numeric course-completion total or ISO currency is established from the saved page.
- Time
- Overview: 4 months at 5 hours a week. FAQ: 15 weeks at 3–5 hours a week, with courses listed as 6, 5 and 4 weeks respectively. These are separate provider estimates.
- Level
- Beginner level
- Credential
- Provider-issued certification
Add to your LinkedIn profile, resume, or CV. Share it on social media.
- Format
- 100% online, self-paced course
- Prerequisites
- No prior programming or other pre-requisites are required for participation.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Machine Learning Foundations for Product Managers
- Managing Machine Learning Projects
- Human Factors in AI
Prerequisites: No prior programming or other pre-requisites are required for participation.
What you actually do
What the credential is
- Credential type
- Provider-issued certification · www.coursera.org / ai-product-management-duke
- Credential
- Career certificate · www.coursera.org / ai-product-management-duke
- Issuer
- Duke University · www.coursera.org / ai-product-management-duke
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media. · www.coursera.org / ai-product-management-duke
- Exam requirement
- Complete all courses and the applied learning projects. · www.coursera.org / ai-product-management-duke
Who should skip it
Alternatives in the registry
Related by topic or level.
- Prompt Engineering Specialization : Check official price; 4 weeks to complete at 10 hours a week.
- AWS Certified AI Practitioner (AIF-C01) : USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.); 90 minutes (exam only; not preparation time).
- IBM AI Product Manager Professional Certificate : Coursera Plus Monthly : USD 59 / month regular; USD promotional terms; not available to residents of India. Outside the US, local currency and pricing are shown at checkout.; 3 months at 10 hours per week.
Change log
- : Initial recorded review of official program details. · Source