I have mixed feelings about the course. Exercises are fun, but the course didn't provide almost any new information for me. I'm working in IT so I could hear a bit of theory before the course. And I've used ChatGPT/Gemini couple of times out of curiosity. So I wouldn't say that I'm experienced with AI. There were few details that course explained but how knowing what "GPT" stands for can help me to use GenAI effectively? The course provides a lot of info, which, I think, is widely known. It provides tons of different examples of how GenAI can be used, without any details. Like, it claims that GenAI can be used in fraud prevention, but how? Instead of explaining few real-world examples, the course keeps bombarding with new and new examples. At the same time the content felt overwhelmingly repetitive, especially in the first module. I've got that GenAI can generate text the first time! I'd expect courses to be more academic, here I've heard a lot of buzz words. Reading includes duplicated paragraphs, which makes it obvious that materials were not properly revised.

I believe this course is superfluous and redundant, and it does not add meaningful value to my training path as a Generative AI Engineer. For someone who already uses generative AI on a daily basis and actively applies it in practical workflows, including AI-assisted coding, most of the material is already well known. The course mainly covers concepts and practices that experienced users are already familiar with, without providing deeper technical insights or advanced techniques. Additionally, it feels unnecessary even within the Generative AI Engineer learning path itself, since there is already an introductory course before this one that covers many of the same concepts. As a result, this course ends up repeating previously introduced material rather than building upon it in a more advanced or technically meaningful way. Furthermore, the labs do not feel particularly meaningful or educational.

This course packed all the important information into videos and had little to no written reference material to go back to and learn from or use as a clear roadmap. As someone who does not learn well from video instructions, I found it very difficult to get the information I needed. I wish there were more written resources, especially for which LLM is best for each use and what their limitations are.

The videos showed too much information about too many applications in a very compressed video. Had a hard time keeping track of so many similar applications. Examples were cool. Wished it was more mobile-friendly. Hard to do the course on the go. Had to wait to get home to do this were I have too many distractions.

While the course provides a broad overview of generative AI, it is let down by excessive verbosity and repetition. Simple ideas are overcomplicated, and the use of AI voiceovers throughout felt exclusionary for neurodivergent learners, massively reducing accessibility and engagement.

This is my OPINION: Nicely prepared material but way to outdated. Part of Lab exercises is not working (I mean in https://labs.cognitiveclass.ai) a Dall-e model(s) are not functioning (I have submitted a ticket and the problem was not solved after a few days, maybe will be later).

Some of the AI experts chosen for this course have heavy accents that are difficult to understand. It's nice too have a transcript to follow along with. The course itself it very repetitive. It doesn't build any skills that Introduction to AI doesn't already cover in-depth.

Unimpressed. More IBM marketing than I expected. If you want a something focused on "look at some of the neat things you can do with Generative AI in 2023" then this might be right for you.

كان هنالك الكثير من الكلام لكن المحتوى يجب ان يكون قليل لانه المعلومات الاساسية واضحة و معروفة لكن بدلا من التركيز عليهم كان يدور حولهم . وترجمة الاختبارات النهائية للعربية سييييئة جدا

AI narrated slidedecks, repetitive expert interviews with strong accent, unrelated video and image filling material. tests are too easy (purpose?). low learning per time ratio

The course can be better i think. And also coursera didnt send me my certificate i finished all steps quiz etc i get 85 points but still there is no certificate

Pretty basic. It is too basic to be part of Gen AI for "Software developers" specialization

Looking for GAI for Program Management but don't see any reference to Program Management!

En realidad es mejor tener un listado y para qué sirve cada uno, para tenerlo como guía.

Poorly created course. Includes typos and the questions/answers don't really fit.

very basic and needs to be more advanced with more "industry" secrets

It is good to undestand ai and this technology help human alot.

nothing new.the word' Gemini' sounds VERY wierd and robotic

В курсе даны только общие описания.

Very basic, YT is enough for this.

it needs to be less reding

Very basic information

Not so useful

Very basic