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Learner Reviews & Feedback for Generative AI with Large Language Models by DeepLearning.AI

4.8
stars
2,936 ratings

About the Course

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications. By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment - Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases - Use empirical scaling laws to optimize the model's objective function across dataset size, compute budget, and inference requirements - Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project - Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners Developers who have a good foundational understanding of how LLMs work, as well the best practices behind training and deploying them, will be able to make good decisions for their companies and more quickly build working prototypes. This course will support learners in building practical intuition about how to best utilize this exciting new technology. This is an intermediate course, so you should have some experience coding in Python to get the most out of it. You should also be familiar with the basics of machine learning, such as supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets. If you have taken the Machine Learning Specialization or Deep Learning Specialization from DeepLearning.AI, you’ll be ready to take this course and dive deeper into the fundamentals of generative AI....

Top reviews

OK

Jan 28, 2024

Easily a five star course. You will get a combination of overview of advanced topics and in depth explanation of all necessary concepts. One of the best in this domain. Good work. Thank you teachers!

C

Jul 10, 2023

A very good course covering many different areas, from use cases, to the mathematical underpinnings and the societal impacts. And having the labs to actually get to play around with the algorithms.

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626 - 650 of 739 Reviews for Generative AI with Large Language Models

By Manoj a k

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Dec 26, 2023

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

By Vivek

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Mar 19, 2024

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.

By Aninda C

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Jul 26, 2023

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

By Bhavinkumar P P

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Jul 11, 2023

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.

By De G

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Nov 14, 2023

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.

By Marcel v d B

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Jan 5, 2024

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.

By Marios I

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Nov 18, 2024

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.

By Cedric W

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Jul 29, 2023

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).

By Nitin C

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Aug 22, 2023

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.

By Ramu

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Jul 30, 2023

Well organized course. Very informative. Programming exercises were great! I recommend including a couple more toward the end, especially for PAL, ReAct and Langchain.

By Yhobany M G

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Aug 7, 2023

Permite desarrola una buena intuicion sobre las posiblidades de los LLM actuales presentando un panorama general sin extenderse en complejos conceptos computacionales.

By Ghael

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May 27, 2024

A good course overall, but the notebooks are unclear at times and the last quiz was quite misleading (no wonders only 50% of the people cannot pass it the first time)

By Somashekhar H

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Jul 25, 2023

The Course gives the theoretical fundamentals and concepts well. Needed some more hands on examples with very small use cases would have been better for this course.

By Sina M

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Jan 19, 2024

The content of the course was great, but actual practical exercises would have made this much more interesting. The exercises were just code walk throughs actually.

By Nikita B E

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Jul 21, 2024

the course was great! Learnt a lot of concepts. The only thing I felt was if the lab could have been like an exercise to solve rather than just a code walk through

By Sami K

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Aug 10, 2023

Good condensed overview on how LLMs work, how you can work with LLMs and how you can operationalize them.

First lab was good and worth the relatively small cost.

By Varun B

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Jul 29, 2024

Learned a lot through this course about generative AI. I did find the labs really helpful. I would have enjoyed the course a bit more if there were more labs.

By vighnesh s

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Oct 16, 2023

A very good course to get you to the working of LLM. The 3rd week module had some issue where the Lab would not run beyond a point due to kernel termination.

By Kody B

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Aug 25, 2023

Solid course, goes over the core concepts for LLM Applications and Models. I would have liked a Lab example for Soft Prompting and RAG using LangChain.

By Joe P

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Jul 25, 2023

Need better review of transformers. They are critical to LLMs but receive short shrift aside from the original article which is conveniently provided.

By Ran D

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Aug 16, 2023

Great structured course! Covers various important topics comprehensively! I hope there could be more coding exercise to make it more hands-on.

By Sebastien B

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Nov 8, 2023

Clear explanations and a first dive into GenAI. Highly valuable at the end, although I would have spent more time on the hands-on exercices

By Carlos C

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Sep 2, 2023

Very useful and with a good balance between fundamental concepts, innovations and practice that connects theory with development in Python.

By Zahra S

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Nov 2, 2024

some parts of the labs were unclear. I wish the walkthrough of the labs could have explained more about what happens in technical details.

By Akshat V

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Jul 14, 2024

The course covered good amount of theory but practicals must be explained in more details in the video or shall explain each line of code