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

4.7
stars
14,353 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

BL

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Good introductory course, would be great a more detailed view of the IBM Cloud platform and how to create your on project and do your own AIs, but understand that was not the purpose of this course.

SC

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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.

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2851 - 2875 of 3,078 Reviews for Introduction to Artificial Intelligence (AI)

By viraj j

Jul 2, 2020

good

By Neha

Jun 8, 2020

good

By MUTHYALA S A

Jun 4, 2020

good

By Chabuk S Z N H

Jun 3, 2020

GOOD

By Pradeep K

Mar 30, 2020

cool

By Manthan T

Mar 14, 2020

good

By SANTHOSH K C

Feb 27, 2020

GOOD

By RAKSHITH K M S

Sep 9, 2024

N/A

By Richard J V

Jun 26, 2024

yes

By 321910303034 g

Dec 18, 2020

gud

By VIGNESH K

Sep 3, 2020

Spr

By Saleh K

Aug 24, 2020

ver

By Mohammed Z

Jul 22, 2024

NA

By Pratik P

Jun 16, 2024

na

By Reshmi A

Dec 9, 2022

na

By ahmed s

Dec 13, 2021

no

By Muhammed T

Sep 1, 2021

👍

By Dirk S

May 16, 2023

x

By Poovandran G

Oct 11, 2021

S

By Aman S

Sep 22, 2021

i

By Hamda A

Dec 26, 2020

t

By Deleted A

Nov 5, 2021

Had good foundational concepts about AI, but I think too many conversational videos with IBM engineers presenting their personal opinions about the future of AI. I found most of them to be overly opiniated with elementary analogies and some even with almost no relevance or value to actual learning about AI. For example "comparing AI > to the > Horse & Buggy" come on really, how about using the "Computer" with modern relevance? Highly recommend replacing one or two of these all-talk videos with some real cool and interesting use case examples showing AI in action. A practical and applied presentation in real world scenarios like technical medicine, industrial production, scientific experiment, etc.

By Ioannis V

Feb 4, 2022

My expectations for this cource were higher to be honest. The last asignment for both IBM Cloud and Watson Studio wasn't so clear and informative, but very dry and just "do this and press here...". There was no a signle explanation of how we use these tools and why, and how exactly these work, and which other tools we can use and how. For sure I will continue with the second part, because I'm expecting to learn more. In the other hand the speakers were using clear and simple language and made all the information shared easily understood.

By Jin Y H

May 26, 2022

The course material was quite helpful, but following through the assignment was troublesome when there were errors(e.g. selecting the location for Watson servers).

The biggest drawback in this course is in the peer review(not sure if it is Coursera's drawback overall), since one has to 'wait' until someone submits the assignment for me to grade and 'complete the course'.

This should be fixed in the long run, since it really goes against Coursera's policy of 'pay minimum tuition by finishing early'.

By Brian P

Nov 11, 2023

Good course but there were numerous errors and issues with content. I reported all except one where there was an audio issue with the videos. In general the sound quality was not the best in the videos. Levels are too low, in general and there was audio that was recorded over other audio during one of the videos. I don't recall which but it was obvious. Other than the technical issues, the content was great, informative, and inspiring.