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学生对 University of Pennsylvania 提供的 AI Fundamentals for Non-Data Scientists 的评价和反馈

4.8
940 个评分

课程概述

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....

热门审阅

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.

筛选依据:

151 - AI Fundamentals for Non-Data Scientists 的 175 个评论(共 202 个)

创建者 Vanessa I

Oct 21, 2024

Love it, nice preview

创建者 Rumen R

May 31, 2023

Great basic knowledge

创建者 วีรศักดิ์ เ (

Sep 17, 2025

เป็นหลักสูตรที่ดีมาก

创建者 Julio H M

Feb 6, 2025

El mejor de todos

创建者 Khaled N A S

Aug 4, 2025

Excellent Course

创建者 Soukaina R

Jun 14, 2025

focused and rich

创建者 Dingji G

Apr 21, 2025

Very good course

创建者 Alicia H

Jul 25, 2024

Very well taught

创建者 Miguel Á M

Sep 29, 2025

Todo fantástico

创建者 Andreas D

May 19, 2025

Super learnings

创建者 Younès I

Dec 29, 2024

very insightful

创建者 Chinedu A

Jul 29, 2024

Very insightful

创建者 Nadir K

Nov 25, 2025

Learned a lot!

创建者 Mildred C S

Aug 13, 2025

Great content

创建者 Nuno S

Jun 2, 2025

Great course.

创建者 Quach P V ( C

May 19, 2025

good courses

创建者 [email protected]

Jun 4, 2022

insightful

创建者 Andres C

Mar 17, 2025

Excelente

创建者 Jose M

Oct 6, 2024

Excelente

创建者 Roberto R

Dec 14, 2025

Great!

创建者 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.

创建者 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.

创建者 Guy T

Jul 24, 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.

创建者 Patel S

Dec 16, 2025

“My understanding of AI ethics is guided by well-known frameworks such as the OECD AI Principles, NIST AI Risk Management Framework, EU Ethics Guidelines for Trustworthy AI, and industry practices from Google and IBM, which emphasize fairness, transparency, privacy, accountability, and continuous monitoring.”

创建者 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.