A well designed course, covers all relevant topics at a high level with good practical examples. Course also shares relevant reading material if one wants to deep dive into any topic. Labs and quizzes are not easy to pass, one has to really understand the topic.

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.

Amazing Course for beginners in IA and as well as people who already work with it, giving a full perception of the challenges and current approaches being applied. Highly recommend it if you want to take part of this present and future technology.

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!

This is an excellent course for learning Generative AI and Large Language Models (LLMs). It covers how to fine-tune LLMs for specific tasks and optimize them for deployment in applications. The instructors are knowledgeable and skilled educators.

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 .

Excellent course! Exceeded my expectations. Well conceived, well presented. I learnt a lot and got hungry to learn more.

My suggestion is to offer a second course to train the practical implementation of the models (coding, deployment, Lab)!

An excellent survey of the process and decision-making involved in building and deploying LLMs for GenAI. I recommend this course for data scientists who want to get up to speed quickly, then branch off into creating their own applications.

Content was on point and helped me uderstand LLM architectures . Hands on labs gave me the skills and knowledge to apply different models in a real time environment as well as have well informed conversations with various stakeholders

An Amazing course and a most comprehensive one with simple and profound explanation. Loved the way the course is planned, really helpful to even a beginner. Thank you so much. Looking forward to more courses from DeepLearning AI.

Wonderful Introduction to the GenAI landscape. This course helped me gain the fundamentals and provided me with resources to explore this field , build expertise with the eventual goal of help Customers leverage the technology.

Generative AI with Large Language Models is perfect to start a journey in the world LLMs, providing insights on which are the right questions to ask and where to look for the appropriate answers. This course... is all you need!

This course provides everything you need to start with LLMs and generative AI as well. Strongly recommend for practitioners who move from other fields of machine learning (Computer Vision, Speech...) to NLP and generative AI.

Have taken courses that cover from a theoretical standpoint. This course in addition to theory covers a complete project life cycle of LLM models with Application development that is invaluable and a great learning experience.

This course has deepened my understanding of generative AI and quipped me with the knowledge of deploy LLMs in real-world applications with solid foundation in how LLMs work and best practices for training and deploying them.