Great course. Great for people with beginners and intermediate knowledge of LLMs. Lots of technical detail and good overviews. Allows for intelligent conversation on the topic.

It was easy to follow and provided a base background for anyone who wants to understand the practical basics to how Large Language Models work and how you should work with them.

This was one of the best courses I have taken in my career. The instructors did a wonderful job breaking the content up into chunks and focusing on the architecture vs product.

Great course. Complex topics explained in a simple yet effective way. Lots of insights on what happens beneath the hood with the aid of use cases. Really enjoyed the learning.

Very good, it allowed me to systematically learn generative models and gain a preliminary understanding of large language models. It will also be helpful for my future career.

Great course with a wide range of topics, from beginner-friendly to deep-dives. Love it. Looking forward to seeing more of Gen AI LLM courses with math algorithms included !!

I loved this course! I enjoyed the technical aspects and the non-technical aspects. It's just the right amount of depths into each subject, and also sufficiently challenging.

Really interesting and inspiring. It helped me a lot to enter the exciting world of LLM. I appreciated a lot that the course is based on several recent papers (2021, 2022).

Takes you by hand from A to Z, quoting papers from 2022 and 2023. Great for getting you up and going with being able to use and build open source LLMs at work. Recommended!

I have learned all the fondation to build application vith generative AI with Large Language Models. The lab exercise learn me to how to implement it with python library.

Broad overview over the LLM lifecycle, but also go into the implementation depths using jupyter notebooks in AWS. The lecturers seem to know what they are talking about.

It's a great course, the fundamentals about AI that all developer needs to know to start working with AI, it's a good point to start. I recommend this course definitely.

Basic concepts and practical advice for both novices like me and experienced data scientists - a balanced course with a variety of experts and experienced instructors.

One of the best courses I've ever taken in my life. Highly recommended. All the advance concepts were very exceptionally explained along with practical implications.

Great introduction to GenAI in general, with clear and useful applications on LLMs. Labs are great introductions to estimating models in Python and Amazon SageMaker.

This is so up-to-date on Generative AI and LLM, citing research papers from 2020-2023. The knowledge you obtained from this course can be directly used in your work

Excellent course that helps to understand basic concepts of machine learning in the context of LLM models. Useful if you want to build your products based on LLMs.

RLHF and LLM applications section felt rushed, there were too many details cramped up in one section.

Rest of the sections were well paced and clearly explained

This course taught me the LLM and generative AI lifecycle and how to mitigate issues within the cycle with different techniques and available new technologies.

A great intermediate level course, which describes recent research papers in the field of AI and LLMs. A good AI starter course for people in technology field.

This course will get you up to speed with current state of genAI, and it will introduce you all the nomenclature you need for LLM production lifecycle. Great!

A very useful course where you can address the understanding of LLM models from the most general and be able to replicate the knowledge in different scenarios

This is a very useful and interesting course. I have learned a lot from this course, and the instructions and context were amazing. I absolutely recommend it.

Very good course, a lot of info, surprised to see recent concepts thrown in to the course, very complete, very nice topics, very well explained, just amaizng

A good balance of exposure to the (python) code, without needing a whole lot of prior knowledge!

The course is adaptable to learners of all experience levels.