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

4.8
stars
2,862 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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201 - 225 of 724 Reviews for Generative AI with Large Language Models

By Samgnya S

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Jul 25, 2024

Week 3 was heavy and can be split into two weeks. Adding Lab for the last bit of the course (deployment strategies ) would be helpful

By Gilberto B

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Dec 18, 2023

Great introduction to LLMs for production deployment. I appriciated introduction to fine-tuning, RLHF, LoRa, instruction fine-tuning.

By Kherzie A

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Apr 23, 2024

Excellent for starters who want to learn how LLM works, but the lab environment usually doesn't work or takes too much time to load.

By ankur r

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Sep 2, 2024

Great course, helps you deep dive into essentials of Gen AI. Would recommend it for Product Managers and upcoming AI/ML Developers.

By Andrew T

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Jan 17, 2024

A great in-depth primer on Generative AI. This course has made me rethink a few applications I have been contemplating developing.

By Roman L

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Nov 2, 2023

Exceptional balance of details: starts from NLP approaches and dives deeply to code. The course a would re-visit for a year or two

By Jay S

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Aug 9, 2023

The course is loaded with interesting content catering to data scientists, AI developers, AI leaders, researchers, and enthusiasts.

By Oussama Q

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Feb 7, 2024

Highly recommended for everyone interested in GenAI, from beginners to advanced learners. It will walk you through the essentials.

By Andre J

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Dec 31, 2023

Great approach by running through the whole course based on implementation project phases. This is more useful than just theories.

By Ramesh N

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Sep 17, 2023

Thanks to all the tutors on the course and for the execellent structuring making the learning process interesting and deep enough.

By Lok K C

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Oct 11, 2023

The instructors' expertise and hands-on projects with large language models truly enhanced my understanding. Highly recommended!

By Krishnakumar K

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Aug 6, 2023

A must do course if you want to get started and understand LLM and how it works! Surely you will enjoy learning this AI course!

By Ravi M

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Jul 17, 2023

Very detailed and insightful course with three assignments. I learned a lot on Generative AI and various large language models.

By Pandeng H

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Apr 15, 2024

This is a quality online course which helped me to advance my knowledge and ability, thanks a lot for all your excellent work!

By Jay Y

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Mar 16, 2024

Fantastic course, instructors and instructional materials. Great induction for me into GenAI LLMs. Should have taken it sooner

By mukul k

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Sep 5, 2023

Excellent course which gives you solid understanding of LLM. I have been able to crack interviews after finishing this course.

By Victor C

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Jul 23, 2023

This course has a good coverage on the popular techniques used to train LLMs. It covers the right amount of technical details.

By Javier C

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Jun 19, 2024

Extraordinary course after you have built a solid foundation in AI, to understand LLMs, align them and make the most of them.

By S M S

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May 19, 2024

Thank you, AWS team and DeepLearning.AI, for this course content. This course is beneficial for newcomers to the LLMs domain.

By Oscar M

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Sep 5, 2023

A good start for know the end-to-end cycle to develop LLMs apps. The labs are very well explained with detailed instructions.

By Hamza E

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Oct 26, 2023

This is the best course someone would take to learn LLMs. Thank you all the beautiful minds that contributed on this course.

By Sourav P

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Aug 30, 2023

This course has both theory and practical aspects of LLM. It would be nice if there was detailed coverage on RL before RLHf.

By Javier A

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Aug 18, 2023

An excellent introduction to LLMs. What I liked the most are the weekly resources... which include the most relevant papers.

By Rodolphe B

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Sep 18, 2024

Very good course. I just wish that a lab will also be present in the last part to see PAL, React and agents in python code.

By Emerald B

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Nov 15, 2023

Provided useful up-to-date information concisely. It also gave a taste of practical hands-on labs that can be fiddled with.