Chevron Left
Back to AI Fundamentals for Non-Data Scientists

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

4.8
stars
795 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 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!

MF

Jan 25, 2025

Thank you, Professors Hosanger and Tambe, for being outstanding instructors! Your clear explanations, engaging teaching styles, and in-depth knowledge made the course enjoyable and informative.

Filter by:

126 - 150 of 170 Reviews for AI Fundamentals for Non-Data Scientists

By Désirée P

•

Oct 18, 2023

Toller Start für das Thema!

By Maxime K

•

Jul 22, 2025

Thank you - great overview

By Min-Ho J

•

Feb 25, 2022

very informative lecture

By MGMarkov

•

Nov 20, 2024

Very very useful course

By samson x

•

Nov 15, 2024

Very informative course

By Rico R

•

Apr 4, 2025

It was a good overview

By Sourabh D

•

Sep 8, 2024

A must in today;s time

By Natalia H

•

Jun 14, 2025

Great basic training!

By Vanessa I

•

Oct 22, 2024

Love it, nice preview

By Rumen R

•

May 31, 2023

Great basic knowledge

By Soukaina R

•

Jun 14, 2025

focused and rich

By Dingji G

•

Apr 21, 2025

Very good course

By Alicia H

•

Jul 25, 2024

Very well taught

By Andreas D

•

May 19, 2025

Super learnings

By Younès I

•

Dec 29, 2024

very insightful

By Chinedu A

•

Jul 29, 2024

Very insightful

By Nuno S

•

Jun 2, 2025

Great course.

By Quach P V ( C

•

May 19, 2025

good courses

By tao_yb918@qq.com

•

Jun 5, 2022

insightful

By Andres C

•

Mar 17, 2025

Excelente

By Jose M

•

Oct 7, 2024

Excelente

By Jasmine Z

•

Sep 17, 2024

Overall it's a good course, material is decently modern. This course is updated to the point where it mentions Chatgpt-4, so at least late 2023. Material includes a machine learning overview, tensorflow, autoML, current research about the role of AI in society, and chatGPT role and uses, and a brief overview of prompt engineering. 4 stars because you can tell that module 3 was overwritten with new material, the quiz has nothing to do with the lectures.

By Lisa C

•

Oct 30, 2024

Content was very informative and what I was hoping to get from the course. However, the presentation by talking heads, while knowledgable, is BORING, as are the slides, which the presenters read word for word. Finally the test for module 2 includes questions on content that isn't covered until module 3. Someone needs to QC this course.

By Guy T

•

Jul 25, 2025

Modules 1 and 2 are older and were produced before the wide release and hype of ChatGPT, but they are still essential for Machine Learning and Data Science fundamentals, Module 3 and 5 get into Generative AI properly and have been updated more recently. Just push through the first 2 modules and stick with it - excellent course.