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Learner Reviews & Feedback for AI Fundamentals for Non-Data Scientists by University of Pennsylvania

4.8
stars
539 ratings

About the Course

In this course, you will go in-depth to discover how Machine Learning is used to handle and interpret Big Data. You will get a detailed look at the various ways and methods to create algorithms to incorporate into your business with such tools as Teachable Machine and TensorFlow. You will also learn different ML methods, Deep Learning, as well as the limitations but also how to drive accuracy and use the best training data for your algorithms. You will then explore GANs and VAEs, using your newfound knowledge to engage with AutoML to help you start building algorithms that work to suit your needs. You will also see exclusive interviews with industry leaders, who manage Big Data for companies such as McDonald's and Visa. By the end of this course, you will have learned different ways to code, including how to use no-code tools, understand Deep Learning, how to measure and review errors in your algorithms, and how to use Big Data to not only maintain customer privacy but also how to use this data to develop different strategies that will drive your business....

Top reviews

GN

Sep 3, 2024

Excellent introductory course for business people - managers/leaders. While many technical aspects are introduced and discussed, there was nothing overwhelming and the lecturers videos are excellent!

KH

Feb 14, 2022

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.

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1 - 25 of 103 Reviews for AI Fundamentals for Non-Data Scientists

By Matt F R

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Oct 26, 2022

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.

By Ruthanne S

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Nov 8, 2021

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.

By Calrissian W

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Feb 22, 2023

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.

By Jon S

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Sep 25, 2022

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.

By William S

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Jul 15, 2022

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

By Swapnil G

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Mar 25, 2023

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.

By Kevin H

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Feb 15, 2022

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.

By Tanmay S

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Mar 11, 2022

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

By Bert F

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Oct 22, 2021

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

By Cooper D

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Dec 3, 2022

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

By Woody T

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May 8, 2023

Great course and information. The quiz questions sometimes strayed from actual course content, in some cases referencing technology and tools not covered within. Also a bit dated given the last six months of progress, but a solid primer for people to qet acquainted with terms and application. Recommend.

By Michael G

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Jun 6, 2023

I highly recommend AI Fundamentals for Non-Data Scientists course to anyone who wants to learn more about AI. It is well-designed and informative and provides a partial foundation for further study.

Here are some of the pros and cons of the course:

Pros:

Well-designed and informative

Covers a wide range of topics

Taught by Wharton professors and industry experts

Provides a solid foundation in the principles of AI

Includes interactive exercises and quizzes

Includes a capstone project

Cons:

The material can be challenging for beginners

Some of the material may be outdated

Not as hands-on as some other AI courses

By Omar A M

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Sep 22, 2023

The course contents, its practical examples, and its pace perfectly allow people new to this area of knowledge to understand, relate and interconnect the concepts. The quizes at the end of each section are very challenging, so that they require a real understanding of the terms in order to successfully pass. At the same time, the final assigments help the student connect the matter with the real life by applying it to practical scenario faced by them. In summary, this is an excellent way to introduce to this challenging and fascinating world.

By Newton W

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May 10, 2024

Great course. Good overview of AI, how it works its features and business use cases. The most valuable parts of the course were the presentations and explanations done by the lecturers and the summary slides using Powerpoint at the end of each module. The AI course coach was a blessing as I used it regularly to expand and to get explanations of ideas and concepts which I was not familiar with during the course. This helped to solidify my understanding of the topic and got to use generalized AI application in the process!

By Alan C

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Oct 24, 2023

This course was extremely helpful in understanding the types and applications of AI. It was just detailed and in depth enough for people that do not have any technical knowledge. The material was presented in an organized and orderly fashion so that it was easy to follow and build upon each section. The pace was perfect and the examples of real life applications was the most helpful.

By Gayle S

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Jul 11, 2024

The course presented an engaging set of lectures, quizzes, and assignments to expose non-data scientists like me to the concepts of machine learning and AI. The concepts were illustrated with many examples from a variety of industries. Two industry leaders interviewed shared use cases for predictive analytics and machine learning. Fantastic class!

By Roberto d G

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May 5, 2023

I found the course to be quite challenging, but the professors were exceptional in their ability to explain the various complex areas of AI. They provided real-world examples that helped me understand and relate to the course content on a deeper level. Overall, I highly recommend this course to anyone looking to expand their knowledge in AI.

By Rouholamin R

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Jun 23, 2023

I believe it can be useful even for people who are also on the path to be a data analyst or scientist since most of courses for them are focused on tools and the usage but they don't focus on the business and that's where the use of this course.

By Gopinath C

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Jan 6, 2024

Great place to start for IT and Non-IT users. I would recommend this course to business users so they start developing understanding around capabilities of AI & ML. This will result in coming up with valid business use cases.

By Dalip J

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Oct 13, 2024

This is fantastic course for someone who is starting the journey towards learning the ML and AI. Course is nicely crafted and touches various fundamentals of ML and AI. I loved example based approach of the instructors.

By Vvsmurthy K

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May 29, 2023

The faculty is superb in explaining technical things in an easy and simple way. They do not intimidate the learner but enthuse them at critical times of learning and understanding the concepts and warn them in advance.

By Dolores F

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Apr 11, 2023

This class provided me with an excellent introduction to the benefits and dangers of AI in business applications. The Professor was amazing in his ability to help a non data science student understand!

By Glenn N

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Sep 4, 2024

Excellent introductory course for business people - managers/leaders. While many technical aspects are introduced and discussed, there was nothing overwhelming and the lecturers videos are excellent!

By Lisa L

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Jun 30, 2024

Perfect level of technical detail to bring the concepts together for those who have some technical background. Course content was broken down into easily understood concepts.

By Iana R

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Jun 26, 2024

Very rich in content course, truly learned a lot, clear explanations, crisp and informative slides. The ML application project adds strength to material understanding.