Clear explanations and a first dive into GenAI. Highly valuable at the end, although I would have spent more time on the hands-on exercices

Very useful and with a good balance between fundamental concepts, innovations and practice that connects theory with development in Python.

The course covered good amount of theory but practicals must be explained in more details in the video or shall explain each line of code

Some of the concepts are hurried through. For someone who doesnt know this field, it might be difficult to grasp it. Otherwise very good.

The course is a great one. So are the instructors. But , running the labs were an issue. It kept on breaking some where in the middle.

it seems an introduction to the main methods and topic. In the future, you can add more courses for details methods. Thanks a lot.

The course was great: learned a lot. I would have liked to be forced to code *some* of the hands-on lab to make it work right.

Very good course, I think course could be start at bit more begining but the example and explaination of course is very good.

overall it was a great introduction. The only missing part was the programming ability to actually fine-tune these models.

This course was amazing with very in depth knowledge. Would have been better if there were some proper coding exercises

A very good course to get your basics right, to use as fuel to further dive deeper into the world of Gen AI and LLMs

It is Very Informative and Intuitive. I was expecting some more practical demos for the Finishing part of the week 3

I think the labs are too easy and don't bring that part of learning where the student has to think to get a solution

Great introduction, well structured, not perfect but really good enough for software developer step into LLM.

Great course to gain a better understanding of how LLMs work that transcends the current shallow hype.

please speak SLOWER.. why are you all speeding through the lectures? Andrew set a high bar, really..

Great course with one big miss: handling non-english languages (choose models, optimize for).

Breadth of the course is very good. However, small hands-on exercise will be very helpful.

Great course. The labs need longer video to discuss every aspect "coding wise" properly.

Quizzes were far from excellence. Responsible AI is not what was translated to audience.

Very good for explanation, but not enough materials for practice. All in all, it's good.

Great Course! Good place to learn about LLMs, parameters, PEFT, LORA, RLHF and RLAIF.

The concepts are really helpful but the lab section is a bit tricky to understand.

Great hand-on course to learn basics of Generative AI with Large Language Models.

Gives a pretty good and technical overview of developments in the LLM space.