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Learner Reviews & Feedback for AI Fundamentals for Non-Data Scientists by University of Pennsylvania
938 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
DL
May 22, 2024
This course is not easy. This course is super valuable. I passed! If you are interested in the mechanics of AI and data generation, this is a great course.
JH
Aug 11, 2025
This a very well structure course for non Data Scientist professionals. Easy to follow and understand. Each module was very well presented and explained by the trainer.
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201 - 202 of 202 Reviews for AI Fundamentals for Non-Data Scientists
By Andres F R P
•Aug 12, 2025
Tiene un nivel cuantitativo muy bajo.
By Ariel V
•Aug 19, 2025
Bague