Name: AI for Business: Generation & Prediction
Brand: Coursera
Availability: OnlineOnly
Rating: 4.5 (33 reviews)

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Learner Reviews & Feedback for AI for Business: Generation & Prediction by Coursera

4.5

stars

117 ratings

About the Course

Artificial Intelligence (AI) is not a new technology, it has been in development for decades. Today, however, AI is in the spotlight as it reshapes the way businesses operate, innovate, and engage with customers. Generative AI stands at the forefront of this transformation. This course demonstrates the foundations and practices of using Generative AI in Business settings. This course provides a brief history of AI and moves quickly into how you can use Generative AI to improve your ways of working. We’ll cover content creation as well as using AI in financial forecasting. Finally, we will also touch on the ethical implications of AI as we seek to evaluate the trajectory of AI in our business environment. Upon completing this course, learners will have a foundational understanding of AI, analyze which AI framework is useful for them, and synthesize this knowledge into their daily work. This program is designed for anyone who is interested in examining the origins of AI and how it can be effectively used by businesspeople. Learners should ideally possess the following prerequisite skills: basic critical thinking; open-mindedness; and an active learning mindset....

Top reviews

Jun 6, 2024

very well explained with detailed and informative points along with interactive questions in each and every sessions

Nov 16, 2024

I managed to get a clear understanding of the basics of AI. Excellent course.

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26 - 33 of 33 Reviews for AI for Business: Generation & Prediction

By Moeketsi M

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Apr 27, 2025

It was interesting and fun.

By Marcelo A B F

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Apr 6, 2025

Ideal para introducirse

By Bouchra Z

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Apr 15, 2025

Good course

By Sathianantha T T

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Jan 5, 2026

Introductory course material.

By Ekaterina Z

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Aug 22, 2024

The course is too short to provide anything but a super quick overview without giving the space to experiment or creating a more cohesive picture. Plus, many test questions are too simple (the responses are clear from the way they're written) and have wrong answer highlighted as the right one.