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
321 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

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.

MM

Feb 5, 2024

Excellent course. The presenters were very clear and engaging. The content was well presented at a good pace. The assignment was not overly onerous. Thank you!

Filter by:

51 - 65 of 65 Reviews for AI Fundamentals for Non-Data Scientists

By Cyrus S

•

Oct 25, 2023

Great! It was really helpful for me.

By Désirée P

•

Oct 18, 2023

Toller Start für das Thema!

By minho j

•

Feb 25, 2022

very informative lecture

By Rumen R

•

May 31, 2023

Great basic knowledge

By tao_yb918@qq.com

•

Jun 5, 2022

insightful

By Albert S

•

Apr 30, 2023

Very Good course. I would say that it's fairly surface level, but not in a bad way- just don't expect a computer science bootcamp, this is about general concepts and a broad understanding. It does dig in deeper at points and I feel better equipped.

By vinsent n

•

Aug 6, 2023

It is the first Coursera course I've taken, so I can't compare. What I can say is that this has been a pleasurable and efficient investment of time, and it leaves me hungry for more AI knowledge and other Coursera courses.

By Tomasz H

•

Jan 10, 2023

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

By Robert P

•

Jan 18, 2024

This was an excellent introductory course that explained the concepts in clear and understandable fashion. A solid foundation to build upon.

By Karen C

•

Mar 31, 2024

Insightful concepts and interesting examples are outlined in this course. Some materials are harder to understand, especially in Week 2.

By Ken D

•

Feb 5, 2024

Great course with real practical examples.

By Martin C

•

Sep 30, 2023

cours très riche pour démarrer en en IA.

By Youssef K

•

Jan 20, 2024

Merci beaucoup

By Kerri L

•

Oct 2, 2023

I learned a lot in the course and I'm glad I took it, but I found that the quizzes often contained questions that were not covered in the material taught (lead to guessing at times). The instructors spoke very fast and I often had to rewind a few times to catch everything.

By Nirav D

•

Apr 12, 2024

It's lots of theory and not enough practice. It's not a class you will be able to take and apply to your current job or will be able to land a AI job. Just gives you good overview of AI.