Name: Generative AI with Large Language Models
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.8 (850 reviews)

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学生对 DeepLearning.AI 提供的 Generative AI with Large Language Models 的评价和反馈

4.8

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3,588 个评分

课程概述

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....

776 - Generative AI with Large Language Models 的 800 个评论（共 850 个）

创建者 Mark C

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Jan 9, 2024

would be better with labs on the cloud coding environment

创建者 Yahya M I

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Aug 19, 2023

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

创建者 Donald E

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Dec 3, 2024

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

创建者 niko

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Aug 11, 2023

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

创建者 Nikhil M

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Jul 26, 2023

plz , try to make more courses related to generative AI

创建者 phanindra a

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Aug 14, 2023

Good overview course with pointers for deeper insights

创建者 Abhinav S

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Apr 17, 2025

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

创建者 Philipp G

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Aug 14, 2025

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

创建者 Brian R

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Aug 17, 2023

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

创建者 Enrique C

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Jul 3, 2023

Very good in general. Thanks Coursera and AWS!

创建者 Noah A

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Nov 10, 2023

Good survey course. Not much hands-on work.

创建者 Rishav R

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Dec 29, 2023

More hands-on exercise should be made.

创建者 Gaurav S

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Apr 20, 2024

Good Course, lots of content

创建者 Sergio G

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Jul 23, 2023

Maybe is necessary more labs

创建者 Mohd R

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Apr 3, 2024

great course to learn genai

创建者 Parth T

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May 23, 2024

good introductory course

创建者 Viswanatha r

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Jan 16, 2024

Good foundational course

创建者 Vineet S

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Nov 11, 2025

It's good for beginner.

创建者 Jeffrey P N

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Jul 20, 2023

Lacks of more exercises

创建者 Biswajit K

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Aug 18, 2024

fully satisfied.

创建者 Sameer M

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Aug 5, 2023

very informative

创建者 mahdi a n

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Feb 6, 2024

5 is for god

创建者 Swarupa K

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Nov 7, 2025

very useful

创建者 Bharath V G

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Aug 21, 2025

good course

创建者 ARJUN K

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Jul 6, 2023

good one!

学生对 DeepLearning.AI 提供的 Generative AI with Large Language Models 的评价和反馈

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776 - Generative AI with Large Language Models 的 800 个评论（共 850 个）