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

4.8
stars
3,481 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

MB

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.

AB

Mar 18, 2024

Excellent, A lot of things covered. No words to describe how the complex topics explained in such a simple manner. One suggestion is to include more hands-on labs with different kind of tasks.

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751 - 775 of 833 Reviews for Generative AI with Large Language Models

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 Lakshmiprabha S

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Sep 17, 2023

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

By Saivardhan R K

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Sep 13, 2023

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

By Doriela G

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Feb 25, 2025

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

By Ashish A

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Aug 15, 2023

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

By Patrick S

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Dec 24, 2024

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

By Tribhuvan J

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Oct 20, 2023

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

By Nicolas B

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May 9, 2024

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

By Priyabrata B

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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 13, 2023

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

By Venkata H K K

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Jun 4, 2024

Good course for those who wants to understand GenAI along with LLMs

By Ruslan F

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Apr 19, 2024

Expected to also have Lab for model deployment and applications

By Ashit A

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Sep 27, 2023

The course was good. However the RHFL could be explained better

By Agustin A

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Jul 13, 2023

Is a Fast course but full of details and additional resources.

By Mark C

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Jan 10, 2024

would be better with labs on the cloud coding environment

By Yahya M I

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Aug 20, 2023

one bad thing in this course is a lot of repeated lessons

By Donald E

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Dec 3, 2024

Very good, in depth, examination of theory and practice.

By niko

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Aug 12, 2023

i found the labs and how to urn the labs a bit confusing

By Nikhil M

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Jul 27, 2023

plz , try to make more courses related to generative AI

By phanindra a

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Aug 14, 2023

Good overview course with pointers for deeper insights

By Abhinav S

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Apr 17, 2025

Its a decent course to look at some of the concepts.

By Philipp G

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Aug 15, 2025

Excellent course 🚀, just a bit dated today (2025)

By Brian R

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Aug 18, 2023

Great course. The lab 3 instance died a few times.

By Enrique C

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Jul 4, 2023

Very good in general. Thanks Coursera and AWS!

By Noah A

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Nov 11, 2023

Good survey course. Not much hands-on work.