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

4.8
stars
2,862 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 724 Reviews for Generative AI with Large Language Models

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 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

By Anirban K

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Jul 6, 2023

Some of the concepts are hurried through. For someone who doesnt know this field, it might be difficult to grasp it. Otherwise very good.

By Chinmay D

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Aug 20, 2023

The course is a great one. So are the instructors. But , running the labs were an issue. It kept on breaking some where in the middle.

By Sandeep k

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Oct 26, 2024

The practical theories could have been made more clearer, and also some of the week 2/week 3 concepts are not in detail explanation.

By Ibrahim M

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Jul 12, 2023

it seems an introduction to the main methods and topic. In the future, you can add more courses for details methods. Thanks a lot.

By Michael B

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Jul 25, 2023

The course was great: learned a lot. I would have liked to be forced to code *some* of the hands-on lab to make it work right.

By Ayush g

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Oct 23, 2023

Very good course, I think course could be start at bit more begining but the example and explaination of course is very good.

By Ramazan D

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Sep 5, 2023

overall it was a great introduction. The only missing part was the programming ability to actually fine-tune these models.

By Mohsin A I

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Jul 26, 2024

This course was amazing with very in depth knowledge. Would have been better if there were some proper coding exercises

By Isha S

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Aug 26, 2024

A very good course to get your basics right, to use as fuel to further dive deeper into the world of Gen AI and LLMs

By Sayan K B

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Aug 10, 2024

It is Very Informative and Intuitive. I was expecting some more practical demos for the Finishing part of the week 3

By Mariano P

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Sep 24, 2023

I think the labs are too easy and don't bring that part of learning where the student has to think to get a solution

By Anson L

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Jul 8, 2023

Great introduction, well structured, not perfect but really good enough for software developer step into LLM.

By Thomas J

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Jul 7, 2023

Great course to gain a better understanding of how LLMs work that transcends the current shallow hype.