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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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601 - 625 of 724 Reviews for Generative AI with Large Language Models

By malhar j

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Jul 30, 2024

Excellent course. Very good technical intro for someone new to LLMs. Only issue was I felt the final week on RLHF was not explained in enough detail. Perhaps it was too complex. Even the lab for RLHF had a lot of bits that could have been explained more (eg: What is a value head in PPO).

By Lisa M

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Jun 5, 2024

Everything was terrific, except that with the Labs, I needed clarification about whether I should alter the coding according to the prepended directions. I reread and rewatched the instructions, but I am still confused about whether I did the Labs correctly. Otherwise, thank you very much.

By Hawlader A A

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Oct 21, 2023

A top-notch course offered by DLAI and AWS, where I gained valuable insights into LLM. However, the labs did present challenges with frequent kernel crashes, likely due to the 4GB memory allocation. Aside from that hiccup, I found the course utterly captivating.

By Yicheng Z

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Aug 3, 2023

The course gives a gentle and comprehensive introduction to LLMs. It is suited for beginners in LLM but with some previous experiences with Python programming and Machine Learning.

It would be better if the course provides more practical coding exercises.

By Ayushi P

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Aug 5, 2024

Very good technical videos, provide a good source of knowledge. Quizzes are a good test for the knowledge obtained too. Practical labs can be a bit more engaging, so that a person feels more confident and independent in doing their own projects.

By Norbert v W

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Mar 15, 2024

The course covers a wide variety of topics around Gen AI and LLMs, which was interesting and helpful. There was very little hands-on work in the labs, which was disappointing, it effectively was no more than running someone else's code.

By Lakshmi G B

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Aug 27, 2023

Some of the places were too technical and the delivery sometimes felt like it is being read from a textbook. I had to go back again and listen to it or read the transcript to grasp what was being conveyed. Shorter sentences may help.

By Ayrton C J

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Sep 9, 2023

Really good class. I wish we were able to provide a real live use case, and the class/instructors would help us how to solve the problem with the tools provided in the class. But overall. I definitely recommend the class. Thank you.

By Simon S

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Apr 26, 2024

Compared to the original machine learning course, it's a bit too little hands on. The labs are crafted nicely, but can just be executed. Learning effect is higher, if actual tasks have to be done by the student him/herself.

By Claudio C

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Mar 25, 2024

The content is amazing but presented at a high level and super fast. I wish they could focus more on practice. Labs are OK, but all Notebooks are ready to execute. It would be better to have something that we code along.

By Aziz B

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Jul 1, 2024

Lab exercises could be improved with an additional section to write production code for Gen AI applications. Overall, the content coverage was enriching and course instructors were concise in the delivery of the topic.

By Joris C

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Aug 24, 2023

Very good course, with a few caveats: subtitles/transcripts are sometimes a mess & I find some pieces to be lacking; for example an overview of current SOTA models and the use of an initial/system prompt for chat bots.

By mikael h

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Aug 1, 2023

excellent topics, well explained and good lab exercises. Gave a good introduction to LLMs structure and applications. Would have been even better with a lab in the last week looking at agent patterns and applications

By Adarsh S

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Apr 19, 2024

This course is very helpful to those individuals who want a start and a good understanding of the LLMs. There can be more practical notebooks and examples but as its a beginner-friendly course, it's justifiable.

By Manoj a k

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Dec 26, 2023

perfectly concise and crisp ,one can finish this course and have a good feeling of what to do next.The coding problems were also very intuitive and quite exciting to try out.Overall really liked the course

By Vivek

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Mar 19, 2024

This is a great course. I was expecting a bit more details about the transformer model. Also, the PPO algorithm used in RLHF could have been expanded a bit more. The course was generally very good though.

By Aninda C

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Jul 26, 2023

Successful in introducing the concepts

More hands-on at end of each concept is desirable. Also practice problem related to fine tuning etc and a capstone project will make the learning journey fruitful

By Bhavinkumar P P

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Jul 11, 2023

Generative AI with LLMs course enables individuals with the latest tools & techniques to adopt LLMs for your business application. This is one of the most comprehensive training available as on today.

By De G

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Nov 14, 2023

The content and trainers were outstanding. Interfacing with AWS for the lab was a beast. The Lab itself is great, it was the technology that keep bombing or loading the wrong LLM/resources.

By Marcel v d B

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Jan 5, 2024

This course has been an extra addition in enhancing my understanding of the Generative AI project lifecycle, particularly in the context of architecture and implementation strategies.

By Cedric W

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Jul 29, 2023

Great content!

The programming sections are good to get familiar with AWS but I wish we had to do actual programming work there (as was the case in other Deeplearning course).

By Nitin C

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Aug 22, 2023

The course taught the theory quite well. The instructors were really nice. The only thing is there could have been more practical exercises with not so complex examples.

By Ramu

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Jul 30, 2023

Well organized course. Very informative. Programming exercises were great! I recommend including a couple more toward the end, especially for PAL, ReAct and Langchain.

By Yhobany M G

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Aug 7, 2023

Permite desarrola una buena intuicion sobre las posiblidades de los LLM actuales presentando un panorama general sin extenderse en complejos conceptos computacionales.

By Ghael

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May 27, 2024

A good course overall, but the notebooks are unclear at times and the last quiz was quite misleading (no wonders only 50% of the people cannot pass it the first time)