The course is solid until the end, where you must wait for your peers evaluate your final paper. Seems like a bait and switch tactic and students such as myself may never complete the course as one waits for a peer to pick my paper. Furthermore, each student must evaluate four other peers' papers and I've evaluated six but yet I wait. There are folks in forums that are waiting for their final score for months. This is problematic and not the stated conditions when I agreed to take and pay for this course.

If you are familiar with high--level AI concepts and want a bit more detail to understand the application and the operations of machine learning, this is a great course.

The concepts build nicely from start to finish, the professors did an excellent job of explaining the material and the slides were a great visual supplement. This should all be basic blocking and tackling when teaching - but it's not.

I've taken other courses offered by higher education institutions and the "teaching" tends to be just a compilation of different reading exercises and random video interviews or discussions with professors - the material may have been interesting and informative, but it wasn't oriented to teaching.

With this course, I didn't have to work hard to grasp the basic concepts and instead had brain space to think more deeply about what I was hearing.

A very thorough introduction to application of AI and ML in a business context. I compelted the Stanford Machine Learning Specialization, which is quite technical and math-heavy, and this course was a perfect follow-on to put this learning in a real-world context. Easy to follow course content, accessible, well done.

Excellent information and presentation. The only drawback in being so thought provoking, the format does not allow for active convesations in expanding understanding or ideas.

Helping me to clear doubts and i feel like getting required information. Thank you Coursera and Professinal Team.

Excellent introduction to the basic concepts of using AI and Machine Learning in a business context.

The AI Fundamentals for Non-Data Scientists course by University of Pennsylvania is an excellent resource for non-technical professionals looking to gain a comprehensive understanding of AI and its impact on businesses and industries. The course is entirely online, making it easy to learn at your own pace and in your own time. The material is presented in an engaging and easy-to-understand way. The instructors are knowledgeable, experienced, and passionate about the subject matter, providing prompt and helpful feedback. Overall, it's a well-structured, informative, and enjoyable learning experience that I highly recommend.

Learned the basic concepts of using AI and Machine Learning in a business context. Understood what is deep learning, machine learning, structured and unstructured learning, feature engineering, decision trees, neural networks, etc.

This is a very insightful course that offers a comprehensive understanding of AI concepts in a systematic way to individuals from any domain.

This course was extremely helpful in presenting the basics of AI in a way that was relevant to different kinds of business decisions.

It is a great foundamental course about AI to help professionals and companies build AI skills.

The format of this course of great for working parents who are complete novices about AI!

This course is very interesting and well presented.

Very interesting course and well presented

It was simply informative and practical

very informative lecture

insightful

The Course is quite informative. I'd like to see more information about specific nomenclature in this area and more interviews with actual specialists.

suggest to have more real - life examples to complement theories. suggest to use more layman language on theory discussion.

great to have the presentation powerpoint available