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

4.8
stars
3,604 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

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.

AI

Jul 22, 2023

This is an amazing course for anyone wanting to start with LLMs. Surprisingly it does not require any previous knowledge of NLP and anyone can get along with the course quite easily.

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751 - 775 of 855 Reviews for Generative AI with Large Language Models

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 Swapnil K

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Feb 21, 2025

If we can break the entire 3 labs into smaller 6 or 8 labs, the technical part would have been very easy to understand.

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.

By Javed S

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Mar 8, 2024

please speak SLOWER.. why are you all speeding through the lectures? Andrew set a high bar, really..

By Jacques L C

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Jan 24, 2024

Great course with one big miss: handling non-english languages (choose models, optimize for).

By Kailash C

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Aug 18, 2023

Breadth of the course is very good. However, small hands-on exercise will be very helpful.

By Ali N B

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Sep 3, 2023

Great course. The labs need longer video to discuss every aspect "coding wise" properly.

By Alexey

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Apr 11, 2024

Quizzes were far from excellence. Responsible AI is not what was translated to audience.

By zhangpan

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Aug 4, 2023

Very good for explanation, but not enough materials for practice. All in all, it's good.

By Gökhan S

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Nov 20, 2025

Good introductory course that covers a wide set of topics. Great for starting with LLMs

By Lakshmiprabha S

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Sep 16, 2023

Great Course! Good place to learn about LLMs, parameters, PEFT, LORA, RLHF and RLAIF.

By Saivardhan R K

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Sep 12, 2023

The concepts are really helpful but the lab section is a bit tricky to understand.

By Doriela G

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Feb 24, 2025

The theoretical part was very good, but the practical part was a bit too shallow.

By Ashish A

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Aug 14, 2023

Great hand-on course to learn basics of Generative AI with Large Language Models.

By Patrick S

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Dec 23, 2024

Loved the material. I wished I could do more implementation work in the labs.

By Tribhuvan J

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Oct 19, 2023

Gives a pretty good and technical overview of developments in the LLM space.

By Nicolas B

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May 8, 2024

very difficult topics to explain but thanks for your ability to do this!

By Priyabrata

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Sep 5, 2025

Loved the illustration to tune LLM. Lab 3 looked a bit less structured.

By Philipp S

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Nov 12, 2023

The labs were not really challenging and did not have any excercises.