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

4.8
stars
2,936 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 739 Reviews for Generative AI with Large Language Models

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 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

By phanindra a

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Aug 14, 2023

Good overview course with pointers for deeper insights

By Brian R

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Aug 17, 2023

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

By Enrique C

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Jul 3, 2023

Very good in general. Thanks Coursera and AWS!

By Noah A

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Nov 10, 2023

Good survey course. Not much hands-on work.

By Rishav R

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Dec 29, 2023

More hands-on exercise should be made.

By Gaurav S

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Apr 20, 2024

Good Course, lots of content

By Sergio G

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Jul 23, 2023

Maybe is necessary more labs

By Mohd R

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Apr 3, 2024

great course to learn genai

By Parth T

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May 23, 2024

good introductory course

By Viswanatha r

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Jan 16, 2024

Good foundational course

By Jeffrey P N

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Jul 20, 2023

Lacks of more exercises

By Biswajit K

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Aug 19, 2024

fully satisfied.

By Sameer M

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Aug 5, 2023

very informative

By mahdi a n

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Feb 7, 2024

5 is for god

By ARJUN K

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Jul 6, 2023

good one!

By Wayne

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Dec 28, 2023

great

By Raj D D

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Sep 12, 2024

nice