Name: Generative AI with Large Language Models
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.8 (835 reviews)

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

4.8

stars

3,487 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

Oct 7, 2023

This is a good course for some one who wants to know about the Generative AI. The concepts are explained well and the whole cycle of Generative AI is spread across the 3 weeks period.

Jan 4, 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.

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826 - 835 of 835 Reviews for Generative AI with Large Language Models

By Guy G

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Apr 23, 2024

Most of the course content was quite shallow, only skimming the surface of each topic. I felt that it was a good primer on LLMs and I'm glad I took the course, but if I could go back in time I'd simply audit it. The labs and quizzes add very little value and are in no way worth $50.

By José A R M

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Feb 15, 2025

Muito pouca prática. Faltou HandsOn. O certificado em pdf está saindo com defeito na logomarca das empresas e isso pode remeter a desconfianças, por parte de terceiros.

By Mahendra P

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Apr 29, 2024

Poor explanations. Can't hold the attention of the student. Start with problems and solve them using Generative AI and gradually explain different ways and concepts.

By Leonardo S

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Jun 24, 2025

Terrible platform. The subtitles are not proportional to the video. The course is very bureaucratic and the instructors are not didactic.

By RohitDeo

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Nov 7, 2024

This course is okay for non-technical/non-programmers for understanding the concepts.

By Pishu G

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Sep 14, 2025

Explanations were far too high-level and expected the student to have a deep understanding of data modeling and statistics - this is not for basic or even intermediate students to AI