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.

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.

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.

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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

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

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

Lots of links did not work or give proper access. questions were not relevant to the actual meat of the course.

Good as very first introduction, but feels too basic for 2024 and the progress made in the past one year in AI.

It was a lot of interviewing the same people. I wold have liked to have walked away with a deeper skill level.

Deberia mostrar mas ejemplos reales de uso y ser mas práctico. Algunas lecturas no se encuentran disponibles

the course focused more on therotical knowledge instead of practical knowledge .

please make it more practcal