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Learner Reviews & Feedback for AI Fundamentals for Non-Data Scientists by University of Pennsylvania
823 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.
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176 - 177 of 177 Reviews for AI Fundamentals for Non-Data Scientists
By Paul M
•Jul 1, 2025
It onlye speaks about IA does not teach anything abour IA
By Andres F R P
•Aug 13, 2025
Tiene un nivel cuantitativo muy bajo.