The concepts thought were at very high level and the instructors were good in covering it all - however the downside is none of it is covered indepth due to which one may lose track of what exactly is being thought about .

The labs were just run the modules, there should have been assignments related to building and fine-tuning models, the labs could have been where we were asked to code rather than just run the blocks

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

Shallow content for professionals.

need more practic labs and videos.

more hands on

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.

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

too shallow. The course is also not well organized and digress occasionally , e.g., for multi-task instruction fine tuning video, it's mainly about some data set intro instead of solid showing how multi-task fine tuning is done. Not recommend for people really want to learn genAI

its labs just doesnt work and not updated i follow the steps and end up in a dead place now i cant take my certificate sooooo sad