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
534 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.

Filter by:

76 - 100 of 103 Reviews for AI Fundamentals for Non-Data Scientists

By HAJJU M S

•

Sep 24, 2024

Great foundation material on AI

By Désirée P

•

Oct 18, 2023

Toller Start für das Thema!

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 Sourabh D

•

Sep 8, 2024

A must in today;s time

By Vanessa I

•

Oct 21, 2024

Love it, nice preview

By Rumen R

•

May 31, 2023

Great basic knowledge

By Alicia H

•

Jul 25, 2024

Very well taught

By Chinedu A

•

Jul 29, 2024

Very insightful

By tao_yb918@qq.com

•

Jun 5, 2022

insightful

By Jose M

•

Oct 6, 2024

Excelente

By Jasmine Z

•

Sep 16, 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 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 Chirag M

•

Nov 13, 2024

This course is amazing for getting knowledge about how exactly the Ai is function under the businesses. Professors are great at teaching it and the content is accurate and easy to learn the concept

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 Gabriel P

•

Nov 10, 2024

Some details about tokenization and word vectors should have been there in my opinion.

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 Shakti G

•

Jun 16, 2024

Excellent course and Learning videos.

By Youssef K

•

Jan 20, 2024

Merci beaucoup