The course gives a gentle and comprehensive introduction to LLMs. It is suited for beginners in LLM but with some previous experiences with Python programming and Machine Learning.

It would be better if the course provides more practical coding exercises.

Very good technical videos, provide a good source of knowledge. Quizzes are a good test for the knowledge obtained too. Practical labs can be a bit more engaging, so that a person feels more confident and independent in doing their own projects.

Good foundation, very cool theory and examples. Unfortunately, there is a lack of practice in all the labs, just shift-enter notebooks without any real challenges. Though good examples of how things work and what algorithms should look like.

Everything is really great. Thank you for the strong knowledge base! Right now I know how it works in the deep. The only problem - test that are not entirely clear, with questions that sometimes contradict other questions with statements.

The course covers a wide variety of topics around Gen AI and LLMs, which was interesting and helpful. There was very little hands-on work in the labs, which was disappointing, it effectively was no more than running someone else's code.

Some of the places were too technical and the delivery sometimes felt like it is being read from a textbook. I had to go back again and listen to it or read the transcript to grasp what was being conveyed. Shorter sentences may help.

Really good class. I wish we were able to provide a real live use case, and the class/instructors would help us how to solve the problem with the tools provided in the class. But overall. I definitely recommend the class. Thank you.

Compared to the original machine learning course, it's a bit too little hands on. The labs are crafted nicely, but can just be executed. Learning effect is higher, if actual tasks have to be done by the student him/herself.

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.

In intensive GenAi and LLM training. Really useful and full of notions and examples. My suggestion is to improve the lab part... it will be better a detailed step by step approach.

Lots of great knowledge! I feel the last two weeks can be further tuned a bit. Some sections can be shorter. The week 3 quiz felt it was not fully aligned with the course material.

Great course that provides the A-Z of LLMs. Some parts are difficult to follow though. The coach (chatbot) is very helpful in understanding the topics and prepare for the exams.

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.