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

4.7
stars
15,375 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

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.

JM

Aug 2, 2020

This introduction course is a great way to start your way in the AI world. It gives some advice that will give an idea to newbies on what to learn particularly they recommended to learn math and stat.

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3026 - 3050 of 3,236 Reviews for Introduction to Artificial Intelligence (AI)

By Dr. P B J

Apr 14, 2022

It is a well designed course for AI and suitable for all who need to upskill themselves to domain of ML and AI. I took up this course to understand nuances of ML so as to apply in chemistry. I recommend this course to all irrespective of their field of interest. I did not receive the certificate as there is a big glitch. Coursera must address to this immediately.

By Evgeny C

Apr 27, 2021

1. Очень интересная тема представлена самым неинтересным образом.

2. Для тех, кто плохо знает английский язык и смотрит с субтитрами плохо оптимизирована подача материала и сдача тестов.

3. Последний тест оценивают такие же ученики как и Вы. Если вы плохо формулируете мысль на английском, то получите плохую оценку, которая повлияет на оценку сертификата.

By Aaron Y

Jan 20, 2022

As an engineer, this course seems geared towards training sales and business personnel the very basics of AI ML DS. With the information from this course I learned a few terms, but nothing functional to help me develop models or perform tasks related to this skill. If you're a non-engineer I would recommend it. Otherwise spend your time elsewhere.

By Floris V

May 17, 2022

The first two weeks are very helpful at establishing a broad understanding of AI. The third and fourth week lacks depth and mostly feels like an IBM advertisement at best and IBM propaganda at worst. Therefore the second part of this course is not really something I would want to pay for. The first part is worth it though!

By Lee P

May 5, 2024

There were grammar and spelling errors in the deck. The audio in the 3rd module was terrible. It was obvious some of the presenters were reading form a script which was distracting. I would have expected a better presentation, so I am a little disappointed.

By Salve A R

Oct 18, 2021

the course data and videos are great no doubt about it however it is the verification process for obtaining the certification for this course which involves face scanning is severely flawed.I havent been able to get my certificate for a long time.

By Luciana E

Jul 24, 2024

Las mujeres aparecen casi únicamente (apareció una antes menos de 30 segundos) para hablar de ética, de diversidad e inclusión. Como enseña el curso, los bias que tiene la IA nacen de los huamnos. Acá, evidentemente los hay.

By Nate R

Aug 6, 2021

Overview of AI and data science, so it lives up to its "Introduction" title. Not much on the mechanisms but plenty of talk. Its kind of like paying for IBM commercial with AI info surrounding the promotions.

By Ernesto H

Jan 6, 2022

It was good at the beggning, but the final task was really dissapointing. It was just following steps on how to use a web service. It didn't help to learn how to build a model from scratch or it's basis.

By Tushar B

Apr 18, 2020

A very basic course just explaining what AI is and what it can do. The course gives the most basic of basics and necessary I feel for the intermediate topics. The readings have to be made better

By Jan L

Mar 31, 2022

The general theory about AI is good, but I found the course from Andrew Ng better. This course could be shortened and a little more general and less IBM centric. However it is a recommendation

By David B

Aug 5, 2024

A bit of a sloppily prepared set of lessons and slides and a bit all over the place. Some assignments had broken web links. Not the strongest effort was made in the creation of this course.

By Ellen H

Sep 15, 2023

It was interesting and I learned a lot about the potential for AI applications. Most of the labs and honors assignment links were broken which brought down my overall opinion of the course.

By Pia D

Aug 6, 2023

It was informative, and covered many different aspects of AI. However, some areas (ethics and how can I get a job in AI) were a little lengthy. Not exactly sure what I would change.

By Dror Y

Jul 23, 2020

The first week gives you important terms from the AI world, and explains it beautifully.

The rest of the course may be interesting, but has nothing to do with actual learning.

By Xinyu Z

Aug 18, 2024

It would be better if there are more female engineers, managers or CEOs in the interview, but no. It looks like IBM doesn't use a very diverse team on the technology side.

By Andrew H

Jun 11, 2023

It explained some useful things such as supervised, unsupervised and reinforcement learning as well as job advice but other than that it was mostly a waste of time.

By Soumabha B

Sep 21, 2020

Very nice course. It gives the basic idea of AI. But something missing in this course. The course not gives that detailing that I expected. Overall a good course.

By Luke G

Aug 3, 2023

Quite boring and acts as a plug for IBM over much educational value. Lots of broken links for resources and actions. Disappointed. Can definitely be skipped.

By Stan S

Mar 30, 2022

The course is very theoretical with very little hands-on experience of AI. Feels a bit like marketing play for IBM and a chance to show off their system

By Julian D

May 16, 2023

AI moves so fast, a class that is a few years old is already lagging behind the state of the current technology. Still interesting and a good intro.

By Ruaridh T

Feb 28, 2022

Having to wait to review a peer's work makes it difficult to complete the course. You have to wait until someone else posts before you can finish.

By Neela M

Apr 14, 2020

Excellent Course But Some where IBM Watson VR Application not working ...I spent one week time just to analyse the Images

By Steve F

Nov 23, 2020

peer grading is frustrating as cant even get my certificate as no peers left to review, such a time wasting way to grade

By Andrey M

Apr 12, 2020

Good for super basic intro level course. Too many generic talking-around in the interviews from my point of view.