Generative AI with LLM another great course from Deeplearning.AI

This course was developed by a very professional team of instructors. I recommend this course for anyone want to understand LLM mechanics and what is required to have a real world application powered by LLM based on the latest research publications and frameworks till today.

Very concentraited and understandable information with links on original papers and resources. Maybe it should be better if course will include more practice. Labs are more like seminars, so you just run code, not writing it at all and still have 100% grade for lab. In my opinion, addition of some practical tasks will improve the course

Exceptional course instructors! It focuses on the practical side of Generative AI models and how to get a LLM running by the end of the course. If you want a more detailed math explanation about how LLMs work you should look elsewhere. However, there are many important insights on the LLM project lifecycle in the practical sense.

Gain foundational knowledge, practical skills, and a functional understanding of how generative AI works Dive into the latest research on Gen AI to understand how companies are creating value with cutting-edge technology Instruction from expert AWS AI practitioners who actively build and deploy AI in business use-cases today

The course provides a solid foundation in the basics of LLMs, helping learners understand how these models work, how to fine-tune them, and how they can be applied to solve real-world problems. The hands-on projects make it easy to put theory into practice, and the focus on ethical AI practices is both timely and relevant

This course is absolutely brilliant if you are getting into GenAI & LLMs. It was well explained, covering all topics and very detailed. The labs on AWS is a bonus as you get to work on AWS platform and play with the code and examples provided to you. You can also download these labs offline to experiment later on.

The course covered LLM, Transformer Architecture, Training, Fine-tuning LLM, Optimization techniques etc. The hands on lab also provided opportunity to execute and understand the concept. I humbly feel by adding at least one final lecture on API integration for applications will be useful. Thanks. Devadevan

This is a well-structured course that covers all the important points and gives a complete picture. Even I, who just (06.2023) wrote my master's thesis on "Large Language Models. Learning and Reasoning at the Inference Stage" found interesting new points and references. Thanks to all the course creators!

This course is beneficial for me regarding Generative AI with Large Language Models. This you so much Coursera, for giving me the opportunity to learn and complete this course free of cost.

Great platform for top-level education. They provide a platform where you can learn whether you have money or not.

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.

The course provides a well-rounded exploration of fundamental concepts, practical applications, and emerging trends in generative AI. It not only provide foundational knowledge and technical skills but also emphasize the ethical considerations and societal impacts of AI technologies.

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.

This course is very informative and well structured, it covers key topics during the GenAI application lifecycle, I find it very helpful with my software engineering background, highly recommended to other engineers who are looking to up skill their AI capabilities.

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 course is amazing in providing insights of working of LLMs and how to finetune them. It has amazing combination of theory and how to actually implement them. I advise to see and understand the Labs given in course to appreciate the behind the scene working.

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.