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Overall the course is good. I find that the peer graded assignments are of no real significance other than to say you did it. Peers are not SMEs therefore there is no real valuable review of the assignment other than from the odd person who may be a SME. You are at the mercy of being graded by a learners impressions of what they think they learned. I didn't appreciate having to grade assignments from early 2023 - wasted time when it could have been focused on recent submissions.

The three Course bundle provides the necessary theoretical material to provide an end to end Machine Learning Analytics background. The instructor has provided necessary material to produce a meaningful machine learning product management document for the Machine Learning Team for them to implement and deploy. There are small case studies and articles to support the presentations.

The Instructor provides examples from his experience why M/L Project fail due to the lack of focus on basics and details. statistics such as 87% Machine Learning Projects failed in North America, based on a 2019 study. 82% of the applications that have been contributed in the field of AI/ML have come from Universities or Academic contributions are a good indicator about the risk and focus of AI/ML field.

This course was practical and well-structured. I especially liked how it connected ethical AI principles (fairness, accountability, transparency) with real-world product design. The peer-graded project was very relevant and helped me build a real portfolio piece I can reuse for job applications and freelancing. The balance between theory (like bias and privacy laws) and practice (user experience design, feedback loops) made it easy to follow and apply. The course also made me more confident in evaluating ML systems from a human-centered perspective. Overall, I鈥檇 highly recommend this course to anyone who wants to understand not only the 鈥渉ow鈥� but also the 鈥渨hy鈥� behind AI product design.

While preparing the video presentation, I was able to search and review a lot of related materials and papers. I would like to thank my colleague for checking out my project along with the professor who gave me the inspiration for the new course. We are also very grateful to the staff for their technical assistance in the peer review area.

Great course on AI Product Management! I was genuinely impressed by the instructor鈥檚 ability to simplify complex AI concepts while tying them seamlessly into product strategy. The assignments were thought provoking and helped reinforce practical applications in real-world scenarios !

I really enjoyed watching the course, big compliments to the instructor who explained the topic in a way that really connected with me. The course sparked my interest to keep learning and developing further in AI management and machine learning. The course is perfect, 5 out of 5!

The course helped me better understand regression analysis, and model evaluation in machine learning. The instructor is very good and the presentation very clear with quality videos. I would recommend this course to all developers and project managers interested in AI.

The AI Product Manager Certification from Duke University is a masterfully structured, deeply insightful, and incredibly relevant program for any professional aspiring to bridge the gap between machine learning technologies and impactful product delivery.

Excellent course concept and material.Peer review grading process needs human and AI monitoring as a course completion certificate would inspire learners to register for this course in the future

Excellent Coruse and Specialization providing an effective and thorough teaching which will result being very important in my work and, more, in general, in my knowledge

This course is awesome! I'm so glad to be given the opportunity to learn world-class content in human-centered AI from experienced instructors. Thank you!

Well structured, very good presenter, training material perfect. Benchmark for a highly effective course!

Thanks for a course that covers the key areas of how humans interact and are impacted by AI.

very inspiring and reflective on the topics concerning AI and ML and very good structured.

Well detailed insights into the precarious world of security, bias and privacy in AI

A very well structured course curriculum. Thank you Jon and Duke University

Clearly elaborate with examples making understand human factors in AI

Great content, reasonable effort required to complete the course.

It is an excellent course for anyone in the Data Science field.

Great insights into the human side of AI, loved it.

Excellent..Thanks for Insights and Thanks to Duke.

Good course. Great course materials.

Great teaching and insights!

great specialization

Great course