Chevron Left
Back to Generative AI with Large Language Models

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.

Filter by:

251 - 275 of 755 Reviews for Generative AI with Large Language Models

By Akshay K G

•

Aug 8, 2024

Really comprehensive and structured curriculum covering all the topics along with hands-on labs. I learnt a lot.

By Hitesh N

•

Nov 24, 2024

A good beginner course with fundamentals looking to get an overview. - Do not expect details discussed in depth

By sunil A

•

Jan 27, 2024

Very good overview of all the steps in the Generative AI pipeline. Thanks for the lab and the reading material.

By Stefania B

•

Jan 3, 2024

Very interesting content and well structured! I suggest this class to everyone interested in GenAI foundations.

By Rithesh K

•

Sep 25, 2023

Very well organized course that provides in-depth foundational knowledge of LLM's and LLM powered applications.

By Rupin D

•

Nov 12, 2024

The course is excellent. However, it would be beneficial to include hands-on training in labs for RAG as well.

By Akash R

•

Nov 5, 2023

Terrific course for understanding basics of LLMs with practical implementation. A must for every AI researcher

By Peilun D

•

Nov 15, 2023

Very good learning material and clear explanation. Better if the programming exercise could be more hands-on.

By Deb F

•

Aug 5, 2023

Excellent content! Very well explained. I love having access to the papers supporting most of the concepts!

By BK C

•

Jul 5, 2023

Covered most Generative AI fundamentals. Very well structured! Also loved the hands on examples in SageMaker.

By Marina P

•

Nov 7, 2023

Wonderful! So much fun, exceptionally well organized and just a great experience, usability-wise. Great job!

By krishnareddy N

•

Jul 20, 2023

It is good course with what exactly required for LLM Developer for the production grade application building

By Juan S A V

•

Jul 16, 2023

Excelent course, thanks to all staff for provided such an enjoyable, profound and relevant course. Love you!

By Derar S

•

Nov 25, 2023

Amazing content, structure, and above and beyond, amazing instructors. Thank you all for this great course.

By Ali T

•

Jul 28, 2023

Great course - wonderful introduction to Generative AI with well structured course curriculum and speakers!

By Srikanth J

•

Dec 20, 2023

What an amazing course this is for learning the basic and a bit of a deep dive into Generative AI and LLMs

By Weng Y

•

Sep 25, 2023

This course help me build an index of all state-of-the-art concepts in fine-tuning generative AI with LLMs

By Ernesto L (

•

Nov 17, 2023

Exceptional content. Some concepts are hard to understand but the laps help a lot ! Thanks Coursera & AWS

By Hugo P

•

Jul 11, 2023

Great course! I like how the trainers talk about complex topics and simplify them for easy comprehension.

By Paul P

•

Sep 23, 2023

Excellent high-level overview – perfect as a starting point before digging into deeper hands-on courses.

By saisree g

•

Jul 28, 2024

The kind of theoretical walk-through has given a lot of idea of what's happening behind the actual LLMs

By Ilya L

•

Nov 20, 2023

Excellent course. Would be great to have a more technical deep dive into the transformer architecture.

By Srishti N

•

Jul 21, 2023

Excellent course with all the technical concepts explained so well. Thank you for curating this course.

By Giovanni A P U

•

May 30, 2024

The informations its very stragith to the point and has no frills. Its a very high quality information

By Steven F

•

Feb 15, 2024

Excellent overview of a large and fast growing field. I feel prepared to dive deeper into GenAI/LLMs.