The content is amazing but presented at a high level and super fast. I wish they could focus more on practice. Labs are OK, but all Notebooks are ready to execute. It would be better to have something that we code along.

Lab exercises could be improved with an additional section to write production code for Gen AI applications. Overall, the content coverage was enriching and course instructors were concise in the delivery of the topic.

Very good course, with a few caveats: subtitles/transcripts are sometimes a mess & I find some pieces to be lacking; for example an overview of current SOTA models and the use of an initial/system prompt for chat bots.

excellent topics, well explained and good lab exercises. Gave a good introduction to LLMs structure and applications. Would have been even better with a lab in the last week looking at agent patterns and applications

This course is very helpful to those individuals who want a start and a good understanding of the LLMs. There can be more practical notebooks and examples but as its a beginner-friendly course, it's justifiable.

perfectly concise and crisp ,one can finish this course and have a good feeling of what to do next.The coding problems were also very intuitive and quite exciting to try out.Overall really liked the course

This is a great course. I was expecting a bit more details about the transformer model. Also, the PPO algorithm used in RLHF could have been expanded a bit more. The course was generally very good though.

Successful in introducing the concepts

More hands-on at end of each concept is desirable. Also practice problem related to fine tuning etc and a capstone project will make the learning journey fruitful

Generative AI with LLMs course enables individuals with the latest tools & techniques to adopt LLMs for your business application. This is one of the most comprehensive training available as on today.

The content and trainers were outstanding. Interfacing with AWS for the lab was a beast. The Lab itself is great, it was the technology that keep bombing or loading the wrong LLM/resources.

This course has been an extra addition in enhancing my understanding of the Generative AI project lifecycle, particularly in the context of architecture and implementation strategies.

Great content!

The programming sections are good to get familiar with AWS but I wish we had to do actual programming work there (as was the case in other Deeplearning course).

The course taught the theory quite well. The instructors were really nice. The only thing is there could have been more practical exercises with not so complex examples.

Well organized course. Very informative. Programming exercises were great! I recommend including a couple more toward the end, especially for PAL, ReAct and Langchain.

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.