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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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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

VT

May 28, 2020

Very informative & interactive session organized by the team, loved it, thanks team for making us informed about the growing and emerging technologies in the field of Artificial Intelligence

RS

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...!!!

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3776 - Introduction to Artificial Intelligence (AI) 的 3800 个评论（共 4,975 个）

创建者 KADIYAM Y R

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Jul 24, 2020

good

创建者 RAGU L V K S

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Jul 18, 2020

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Jul 12, 2020

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Jul 9, 2020

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Jun 10, 2020

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Jun 9, 2020

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Jun 9, 2020

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Jun 7, 2020

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Jun 6, 2020

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Jun 5, 2020

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Jun 4, 2020

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Jun 4, 2020

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Jun 3, 2020

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Jun 2, 2020

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Jun 2, 2020

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Jun 2, 2020

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Jun 1, 2020

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Jun 1, 2020

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May 24, 2020

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May 17, 2020

nice

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May 9, 2020

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May 4, 2020

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