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学生对 IBM 提供的 Introduction to Artificial Intelligence (AI) 的评价和反馈

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22,100 个评分

课程概述

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....

热门审阅

SC

Apr 8, 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.

VK

Sep 11, 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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3426 - Introduction to Artificial Intelligence (AI) 的 3450 个评论（共 4,976 个）

创建者 221910301013 B B S

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Nov 18, 2020

super

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Oct 27, 2020

Ggood

创建者 121910310046 M N

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Sep 26, 2020

Super

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Aug 1, 2020

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Jul 25, 2020

great

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Jul 6, 2020

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Jun 29, 2020

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Jun 16, 2020

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May 31, 2020

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May 15, 2020

Coool

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Apr 20, 2020

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Nov 27, 2019

great

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Aug 29, 2019

great

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Dec 11, 2025

nice

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Dec 11, 2025

Nice

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Dec 10, 2025

good

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Dec 8, 2025

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Dec 6, 2025

best

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Dec 5, 2025

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Dec 5, 2025

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Nov 29, 2025

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Nov 28, 2025

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