Permite desarrola una buena intuicion sobre las posiblidades de los LLM actuales presentando un panorama general sin extenderse en complejos conceptos computacionales.

A good course overall, but the notebooks are unclear at times and the last quiz was quite misleading (no wonders only 50% of the people cannot pass it the first time)

The Course gives the theoretical fundamentals and concepts well. Needed some more hands on examples with very small use cases would have been better for this course.

The content of the course was great, but actual practical exercises would have made this much more interesting. The exercises were just code walk throughs actually.

the course was great! Learnt a lot of concepts. The only thing I felt was if the lab could have been like an exercise to solve rather than just a code walk through

Good condensed overview on how LLMs work, how you can work with LLMs and how you can operationalize them.

First lab was good and worth the relatively small cost.

Learned a lot through this course about generative AI. I did find the labs really helpful. I would have enjoyed the course a bit more if there were more labs.

A very good course to get you to the working of LLM. The 3rd week module had some issue where the Lab would not run beyond a point due to kernel termination.

Solid course, goes over the core concepts for LLM Applications and Models. I would have liked a Lab example for Soft Prompting and RAG using LangChain.

Need better review of transformers. They are critical to LLMs but receive short shrift aside from the original article which is conveniently provided.

Great structured course! Covers various important topics comprehensively! I hope there could be more coding exercise to make it more hands-on.

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.

some parts of the labs were unclear. I wish the walkthrough of the labs could have explained more about what happens in technical details.

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.

it's a great course, I appreciate how wide the course scope is, the only thing I didn't like were the labs, were somehow useless to me.

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.

The practical theories could have been made more clearer, and also some of the week 2/week 3 concepts are not in detail explanation.

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.

If we can break the entire 3 labs into smaller 6 or 8 labs, the technical part would have been very easy to understand.

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