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

4.7

stars

18,227 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 the key AI terminology and applications and 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. Furthermore, you’ll examine AI’s application across domains such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. This course explores AI's transformative impact, including generative AI, on businesses. It also explains how AI can revolutionize your work and environment and what career opportunities it offers. Finally, the course explores AI ethics and governance, prevalent concerns and issues surrounding the AI landscape. The course includes hands-on labs and a project, providing an 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

Apr 9, 2020

The course design is excellent specially for beginners to study and understand the basic concepts in Artificial Intelligence. The lessons and course material are perfect and apt for this course-level.

Sep 12, 2023

This Course is Very much Beneficial for the Beginners.In particular introducing Mr.Tanmay Bakshi & Mr. Polong Lin and sharing their Knowldge and Expertise is worth notable.Thank you IBM AI Team!

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By Muhamma S

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Aug 30, 2019

great

By Samikhya M

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Apr 23, 2025

Good

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Apr 23, 2025

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Apr 20, 2025

nice

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Apr 20, 2025

BIEN

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Apr 20, 2025

Best

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Apr 17, 2025

GOOD

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Apr 17, 2025

good

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Apr 17, 2025

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good

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nice

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Apr 15, 2025

nice

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Apr 13, 2025

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Apr 8, 2025

none

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Apr 7, 2025

cool

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Apr 5, 2025

Good

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Apr 1, 2025

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Mar 28, 2025

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Mar 27, 2025

Good