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 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

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.

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.

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

I cant acess the lab 3!!! Show this. "AWS account deactivated at 2023-12-29T02:15:01-08:00" This is not fair!!! I paid for this course. Can't finish it.

The Amazon SageMaker lab is hit or miss. It wasn't functional for me 80% of time.

Lab2 doesn't work. The kernel crashes at one place all the time.

i was not able to finish at 99 percent

Not useful