An excellent course from a team who is not only adept in what they teach, but is also good at teaching. The structure of the course caters to both - the theoretical and the practical learner. Practical learning through the labs gives a great understanding of LLMs and how they are programmatically managed.

Extremely useful course. Through this course, I got a detailed understanding of open-source LLM models, fine-tuning techniques, and understanding of LLM-enabled product deployment. Moreover, additional resources like research papers and some of the optional videos are very useful for further learning.

I found this course exceptional! I recommend it 100%. What I loved about it is that it is first and foremost scientific and accurate (and up to date!) but that doesn't come at the expense of being understandable or accessible. The course is varied in teachers and hands-on experience. Amazing job.

Very descriptive course that covers most SOTA topics under LLMs. Labs and quizzes were very helpful and nicely designed and not very time consuming for someone who can assign limited time for learning every week. Trainers are great and have helped raise interest in the upcoming research in LLMs.

A good introduction to the theory and concepts behind the Transformer architecture, Generative AI, and Large Language models. The course takes a systematic approach, following the Generative AI project lifecycle it proposes, and goes through each section in just about the right amount of detail.

Fantastic course, all instructors were amazing. Loved the quality and completeness of content. The hands on labs were constructed in such a way that they cover almost all theory concepts being taught in the videos. Highly recommended. Now its the time to apply this knowledge in real world.

Great course, covers a lot of ground and provides a lot of lab-based tutorials to get key concepts explained. Not a fan of the Responsible AI piece at the end though. While the intentions of Responsible AI are good, their overuse is causing issues as is the case with Gemini currently.

Best deeplearning.ai course I done so far. The newest material presented by awesome instructors with excellent practical examples a long the way. The technical level was perfect for me - thourough without getting lost in the details. Strongly recommend for anyone interested in LLMs.

Really great deep-ish dive for folks who have a good grasp of general GenAI concepts, but want to go a bit deeper and see it in action, futz with some notebooks and python code, and learn more about the emerging ecosystem surrounding LLMs like LangChain, techniques like RAG, etc...

I am glad that I found this course by DeepLearning.AI and completed it successfully :) To everyone who wants a few level deeper understanding of how LLMs work, this course is a bliss!!! I would definitely recommend this course if you want to be well versed with details of LLMs.

Loved it! It's a perfect level of difficulty for machine learning engineers interested in breaking into this new area. I have learned so much about evaluating models and fine tuning them. There were fun notebooks to actually remove toxicity from a model, and fine tune tasks.

Excellent course by DeepLearning.AI! They do a great job explaining the material. The videos that came with the coding lab were also very helpful as a guide to walk you through the notebooks. Stellar course, looking forward to learning more from you guys, thank you!

This is an outstanding introduction to generative AI and large language models. The instructors provide clear explanations of key concepts backed by hands-on labs. I gained valuable skills for building and deploying scalable generative models - highly recommend!

Excellent course. This course is very thorough in explaining the entire project lifecycle of developing a LLM. It went in depth into each aspect of the lifecycle, and addresses all the questions that one can have on LLMs. It will certainly help me in my career.

Please add more content on below items . Instruct tuning or RLHF using content from PDF file / website . RAG approach will not work in many cases due to chunking , false positive in similarity search ,token limit . Add more lab for different other use cases .

I've been dying to know what the code looks like behind the LLMs, and this course goes into just enough detail to give me an understanding of the parts that I know about and the parts that I don't know about. There's way more to LLMs than what just the LLM!

Great course, wide range of topics, each of which may require a separate course. As much as this area is actively in Research, a deeper dive into those techniques may be of much interest - maybe as a speciallization as seen in other DeepLearning.AI courses

Excellent course. I will recommend it to my colleagues, friends and anyone interested to get a jumpstart on Generative AI. The course is very dense, but on completion you will gain enough knowledge to take of on your own journey to pursue further learning.

I thought this was a very thorough and up-to-date overview of LLM research and development. I took away a lot of insights from this. I do wish there had been a project at the end, so I could apply what I learned, but I will be doing this on my own anyway.

Very good foundational course. I will be referring to the material frequently. I didn't find the labs as useful as I expected though - I had limited ability to play around with the various parameters, but they did give me a fair view of what to expect.

Learned about various LLMs, their shortcomings, techniques to enhance and augment the LLMs, prompt engineering, and LLM based SDLC. Overall, a great course! I can't believe I paid such a low price for this knowledge. Well worth the time and money!

Great course to start delving into the LLM world! It provides precisely the essential insights needed to grasp the fundamentals of this field and seems pretty up to date (at least for a beginner) considering the rapidly evolving nature of LLM.

Very practical course. Doesn't touch a lot on basic subjects like attention models, LLM architectures, but in the real world we would just download a pretrained model and finetune it using the methods mentioned in this course. Really practical.

I have parallely completed same course by Google, but found this course designed by DeeplearningAI & AWS more in-depth, interactive and insightful (exhaustive as well). I enjoyed the Lab and tutorials. Thanks entire team for the great effort.

Done on a more technical deep-dive perspective, coupled with actual labs! Greatly appreciated the phenomenal efforts made by the Instructors and the rest of the learning team to come-up with such an awesome course on Generative AI with LLMs .