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Learner Reviews & Feedback for Introduction to Large Language Models by Google Cloud

4.5
stars
1,363 ratings

About the Course

This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps....

Top reviews

LD

Sep 16, 2024

Very detailed and well-structured training. It would be great if it could be more informative and practical. Thank you.

TO

Jun 28, 2024

Great information, but the instructor talked way too fast, and occasionally her voice would trail off towards the end of a sentence making it difficult to understand what she said.

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176 - 200 of 310 Reviews for Introduction to Large Language Models

By Sundar T

Feb 4, 2025

Good

By madeh

Jan 30, 2025

Nice

By Dhanurjay D

Nov 7, 2024

Good

By Surya L B ( O - U B

Oct 8, 2024

good

By SRI V

Sep 2, 2024

good

By Subhashree P

Aug 30, 2024

Good

By Ameya B

Aug 21, 2024

Nice

By norah h a

Jun 1, 2024

شكرا

By Akarsh R

Apr 11, 2024

good

By Utkarsh T

Mar 1, 2024

nice

By jay r s

Feb 29, 2024

good

By Sridhar N

Feb 26, 2024

Good

By Nivrutti R P

Feb 26, 2024

good

By PRATEEK S

Feb 4, 2024

good

By Xurshidbek S

Mar 31, 2026

Zor

By Jay W

Sep 16, 2025

Goo

By Allwin S S

Sep 2, 2025

Nil

By DAHIANA M J C

Aug 20, 2025

Ese

By Abduvohidova N

Mar 4, 2026

.

By Усмонкулов С

Feb 5, 2026

l

By Matyoqubova S

Jan 29, 2026

.

By Kamoldinov J

Dec 12, 2025

.

By Deleted A

Nov 10, 2025

.

By Aruna K S

Feb 25, 2025

5

By Sagnick B

Jan 26, 2025

The course was very much helpful to me in giving a short and in-depth insight about the large language models and it's various application in different fields like code completion, text-summarization, language translation etc, and many more. It also discussed about how different large language models can be tuned for better output according to the set of custom use cases by training the model on new data.