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

4.8
stars
3,181 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 infere...
...

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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751 - 775 of 780 Reviews for Generative AI with Large Language Models

By Marty P

•

Aug 17, 2023

The videos in the course were helpful, with the exception of the lab videos.

I found those simply regurgitated what was already in the lab notes.

The labs themselves were only partially helpful due to the high-level code being used.

I would have actually preferred to go a bit lower-level in implementing a few pieces.

By Yuchen P

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Jan 23, 2024

I think the course needs to have a better balance between the contents. For example, it spends tons of effort talking about different parameters in model inference, which is as simple as 1+1, but it touches very lightly regarding how transformer works.

By Deepak K G S

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Aug 24, 2024

The concepts thought were at very high level and the instructors were good in covering it all - however the downside is none of it is covered indepth due to which one may lose track of what exactly is being thought about .

By Attyuttam S

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Jul 26, 2024

The labs were just run the modules, there should have been assignments related to building and fine-tuning models, the labs could have been where we were asked to code rather than just run the blocks

By 孙佳垚

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Jul 31, 2024

This course helped me to learn the basics of fine-tuning and aligning LLMs. However, the Labs are simply demos rather than practices, and a bunch of technical detail is omitted.

By Thomas T

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Oct 20, 2024

Good overview but like too often on Coursera, the assignments are too easy. You don't need to write a single line of code to pass...

By Shay L

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Oct 6, 2023

The lab parts do not make the student work nor present a challenge, they only make the student run through someone else's code.

By Ahmed S E E

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Sep 5, 2023

(+) Excellent info, representation and organization

(-) The practical part is not good (some hands-on need to be added)

By Amlan P

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Sep 18, 2023

Week 1 and 2 are great but 3 isn't that exciting. I was expecting the course to be more technical.

By Jason M

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Jul 30, 2023

Helpful introduction to LLMs but I wish we got the chance to go in-depth on implementation

By Joel Ö

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Jan 2, 2024

A lot of issues with the labs. Contacted supported and waited for long but no resolution

By ATHARVA G

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Jul 11, 2023

Not explained as clearly as you would expect from an Andrew Ng course.

By Adam K

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Nov 13, 2024

not very interactive, and the closed captions were often wrong

By Nikita L

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Aug 29, 2024

not challenging, shallow, wouldn't call it "intermediate"

By Bharat L

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Mar 6, 2024

Not very technical course, but gives quite an overview

By Hoss

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Oct 10, 2023

Not too practical Just a broad view on the subjecgt

By Praveen M

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Feb 25, 2024

Theory was good, but labs should be more practical

By Chirag S

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Nov 6, 2023

its LLM 101 explaining intuitions behind it

By Everton L

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Feb 18, 2025

Shallow content for professionals.

By Qafar B

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Jan 11, 2024

need more practic labs and videos.

By Sonu S

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Aug 29, 2023

more hands on

By Guy G

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Apr 23, 2024

Most of the course content was quite shallow, only skimming the surface of each topic. I felt that it was a good primer on LLMs and I'm glad I took the course, but if I could go back in time I'd simply audit it. The labs and quizzes add very little value and are in no way worth $50.

By José A R M

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Feb 15, 2025

Muito pouca prática. Faltou HandsOn. O certificado em pdf está saindo com defeito na logomarca das empresas e isso pode remeter a desconfianças, por parte de terceiros.

By Mahendra P

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Apr 29, 2024

Poor explanations. Can't hold the attention of the student. Start with problems and solve them using Generative AI and gradually explain different ways and concepts.

By RohitDeo

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Nov 7, 2024

This course is okay for non-technical/non-programmers for understanding the concepts.