This course helped me to learn the basics of fine-tuning and aligning LLMs. However, the Labs are simply demos rather than practices, and a bunch of technical detail is omitted.

Good overview but like too often on Coursera, the assignments are too easy. You don't need to write a single line of code to pass...

The lab parts do not make the student work nor present a challenge, they only make the student run through someone else's code.

(+) Excellent info, representation and organization

(-) The practical part is not good (some hands-on need to be added)

Week 1 and 2 are great but 3 isn't that exciting. I was expecting the course to be more technical.

Helpful introduction to LLMs but I wish we got the chance to go in-depth on implementation

A lot of issues with the labs. Contacted supported and waited for long but no resolution

Not explained as clearly as you would expect from an Andrew Ng course.

not very interactive, and the closed captions were often wrong

not challenging, shallow, wouldn't call it "intermediate"

Not very technical course, but gives quite an overview

Not too practical Just a broad view on the subjecgt

Theory was good, but labs should be more practical

its LLM 101 explaining intuitions behind it

I was hoping to do more hands-on labs.

Shallow content for professionals.

need more practic labs and videos.

Demasiado teoria

more hands on

I think the course description promises much more than the course actually delivers. This course is in fact a fantastic starting point to get an overview of all the important aspects of Gen AI with LLMs. However, it is by no means comprehensive enough that you will master any of the topics in the course description. Think of the course as an entry point that will give a lot of basic information to continue your learning journey. It will help you get your bearings in this field, but you will need to continue learning elsewhere. You will see and run some code which you can keep as a reference for the future, but you won't be asked to program anything yourself. All in all, a good starting point, but I feel a bit disappointed by the rather exaggerated promises that the course description makes about the content and the learning objectives.

Most of the course content was quite shallow, only skimming the surface of each topic. I felt that it was a good primer on LLMs and I'm glad I took the course, but if I could go back in time I'd simply audit it. The labs and quizzes add very little value and are in no way worth $50.

Muito pouca prática. Faltou HandsOn. O certificado em pdf está saindo com defeito na logomarca das empresas e isso pode remeter a desconfianças, por parte de terceiros.

Poor explanations. Can't hold the attention of the student. Start with problems and solve them using Generative AI and gradually explain different ways and concepts.

Terrible platform. The subtitles are not proportional to the video. The course is very bureaucratic and the instructors are not didactic.

This course is okay for non-technical/non-programmers for understanding the concepts.