Thank you Coursera!!! Got to learn from great teachers..

Modules 1 and 2 are definitely introductory material. Modules 3 and 4 require a decent amount of understanding of coding (Python).

There are much better intro courses on Coursera. The first few modules are fine, but as it gets into more intermediate concepts like RAG, the quality falls off significantly. Lecture content is fine, but the labs have incorrect or missing instructions, the quizzes are phoned in and in some cases have incorrect answers marked as correct, and the professors are MIA in discussions despite dozens of questions the course forums. Huge motivation killer and not at all the course I would recommend for someone who is interested in getting started, especially since there are many better supported courses on this platform.

Fewer headshot videos. More slides to summarize key points. The first 3 modules need better English to ensure more effective examples for Prompt Engineering. And those modules could easily be shortened as it just takes knowing the key terms and doing 1 or 2 labs. Doing the labs through video is painful. Better to set-up labs with side-bar tutorial so a person doesn't rely on low resolution. Especially with Notebooks, you can easily type out the instructions or link to a video demo/gif if needed of that step. Rather than external labs, especially for HTTP API, be better to have an internal lab. Better quality code share in 4th Module

The first three modules are well-constructed; however, the fourth module appears quite disjointed and out of place. Additionally, the fourth module contains several assessments with ambiguous questions, some of which have double meanings. One question, in particular, includes information that is entirely irrelevant to the topic and outdated. The instructor presented a chart as a point of interest and then the question asked for the percentage represented by a specific bar in the chart.

Nice course on "Introduction to Generative AI". It was a brief introduction to Gen AI concepts and how to use LLM APIs to create custom applications. Truly beginner level course.

There should be more step by step instructions how to run the labs.

Very High Level view

I am very satisfied with this course! From the comprehensive curriculum to the engaging teaching methods, everything exceeded my expectations. The instructors were knowledgeable and approachable, fostering an inclusive and supportive learning environment. The course materials were well-organized and relevant, making it easy to grasp complex concepts

Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics

Awesome introduction to LLMOps

Good introductory Course

Solid and useful course!

Very good for beginners

Superb and simplified

요즘 필요한 능력ㄹ

Excelente

GOOD

good

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Modules 1-3 were good. Module 4 could be much better. The quality of videos was poor. Some of the quizzes marked correct answers incorrect. The material could also be better.

Good course content with examples

OK

The first two modules are interesting. The third module is lacking with respect to the information that is needed to do the programming work that (optionally) can be done. The programming work for fourth module is impossible to do. The messages in the forum for module 4 suggest that the course has been abandoned by its makers. the course can be completed without doing programming work, but I was really looking forward to that. My review in one word: avoid.

The course provides only a surface-level overview of the topic, lacking depth and critical engagement.