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èż”ć›žćˆ° Generative AI with Large Language Models

歩生ćŻč DeepLearning.AI 提䟛的 Generative AI with Large Language Models çš„èŻ„ä»·ć’ŒćéŠˆ

4.8
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3,512 äžȘèŻ„ćˆ†

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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....

热闹漡阅

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!

KH

Aug 23, 2025

Great introduction to Generative AI with Large Language Models. The lessons are clear, practical, and easy to follow. Highly recommended for anyone interested in learning AI basics and applications.

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776 - Generative AI with Large Language Models 的 800 äžȘèŻ„èźșïŒˆć…± 843 äžȘ

戛ć»ș者 Abhinav S

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Apr 17, 2025

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

戛ć»ș者 Philipp G

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Aug 14, 2025

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

戛ć»ș者 Brian R

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Aug 17, 2023

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

戛ć»ș者 Enrique C

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Jul 3, 2023

Very good in general. Thanks Coursera and AWS!

戛ć»ș者 Noah A

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Nov 10, 2023

Good survey course. Not much hands-on work.

戛ć»ș者 Rishav R

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Dec 29, 2023

More hands-on exercise should be made.

戛ć»ș者 Gaurav S

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Apr 20, 2024

Good Course, lots of content

戛ć»ș者 Sergio G

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Jul 23, 2023

Maybe is necessary more labs

戛ć»ș者 Mohd R

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Apr 3, 2024

great course to learn genai

戛ć»ș者 Parth T

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May 23, 2024

good introductory course

戛ć»ș者 Viswanatha r

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Jan 16, 2024

Good foundational course

戛ć»ș者 Vineet S

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Nov 11, 2025

It's good for beginner.

戛ć»ș者 Jeffrey P N

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Jul 20, 2023

Lacks of more exercises

戛ć»ș者 Biswajit K

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Aug 18, 2024

fully satisfied.

戛ć»ș者 Sameer M

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Aug 5, 2023

very informative

戛ć»ș者 mahdi a n

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Feb 6, 2024

5 is for god

戛ć»ș者 Swarupa K

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Nov 7, 2025

very useful

戛ć»ș者 Bharath V G

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Aug 21, 2025

good course

戛ć»ș者 ARJUN K

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Jul 6, 2023

good one!

戛ć»ș者 Wayne

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Dec 28, 2023

great

戛ć»ș者 Raj D D

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Sep 12, 2024

nice

戛ć»ș者 Sandhya G

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Feb 27, 2024

Good

戛ć»ș者 xingnan z

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Jan 8, 2024

good

戛ć»ș者 Kamal M

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Oct 18, 2023

good

戛ć»ș者 Lakshmi G

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Sep 10, 2023

Good