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Learner Reviews & Feedback for Introduction to Artificial Intelligence (AI) by IBM

4.7

stars

21,714 ratings

About the Course

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Further, you’ll analyze the applications of AI across domains, such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. The course will help you discover how AI, especially generative AI, is reshaping business and work environments. You’ll also explore emerging career opportunities in this rapidly evolving field and gain insights into ethical considerations and AI governance that shape responsible innovation. The course includes hands-on labs and a project, providing a hands-on opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI. This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI....

Top reviews

Jun 13, 2020

This course absolutely helped me a lot to understand the basics of artificial intelligence, the hand-on labs are extremely fascinating to learn practical things on IBM WatsonThank You, Coursera...!!!

Oct 6, 2025

Very informative for an intro. I got a clear understanding and foundation of what AI is, how it's leveraged across various industries, the broad view of how AI works, ethics, and how to implement it.

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By Daniel B G

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May 23, 2021

Good

By Subashini S B I

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Apr 27, 2021

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Apr 17, 2021

Nice

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Apr 12, 2021

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Dec 28, 2020

cool

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Dec 7, 2020

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Nov 26, 2020

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Nov 19, 2020

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Nov 17, 2020

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Oct 31, 2020

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Oct 31, 2020

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Oct 30, 2020

nice

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Oct 29, 2020

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Oct 27, 2020

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Oct 25, 2020

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Oct 23, 2020

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