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

4.8
stars
3,061 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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676 - 700 of 755 Reviews for Generative AI with Large Language Models

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 D

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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 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 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 Philipp S

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Nov 12, 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 18, 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 12, 2023

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

By Mark C

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Jan 9, 2024

would be better with labs on the cloud coding environment

By Yahya M I

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Aug 19, 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 11, 2023

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

By Nikhil M

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Jul 26, 2023

plz , try to make more courses related to generative AI