5.0
Reviewed Aug 23, 2025Great introduction to Generative AI with Large Language Models. The lessons are clear, practical, and easy to follow. Highly recommended for anyone interested in learning AI basics and applications.
Generative AI with Large Language Models
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.
Status: Scalability
Status: Model Evaluation
IntermediateCourse16 hours
Featured reviews
5.0
Reviewed Oct 7, 2023This 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.
5.0
Reviewed Nov 1, 2023Very insightful, in depth and well explained course, that provides a solid explanation about the technical aspects, economical considerations and project lifecycle of AI LLM powered solutions
4.0
Reviewed Nov 14, 2023The 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.
4.0
Reviewed Jan 4, 2024This 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.
5.0
Reviewed Jul 20, 2023Excellent course with engaging content and instructors. I have a much better understanding of how and what is going on under the hood of transformers and generative AI as a field.
5.0
Reviewed Jan 28, 2024Easily 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!
5.0
Reviewed Oct 23, 2023The content was engaging and offered great learning on how to train and fine-tune LLM models. I would advocate this course to any of us who is interested in learning more about Generative AI.
5.0
Reviewed Oct 12, 2024Pretty good overview for Product Managers and leaders who are interested in learning about Generative AI with hands-on labs that are not too detailed, yet help you develop the intuition.
5.0
Reviewed Aug 8, 2024The course covers all the basics of building applications using LLMs. It gives a good starting point of all the stages involved in building a good LLM and integrating it with applications.
4.0
Reviewed Nov 17, 2024Lots of great knowledge! I feel the last two weeks can be further tuned a bit. Some sections can be shorter. The week 3 quiz felt it was not fully aligned with the course material.
5.0
Reviewed Mar 17, 2024Excellent, A lot of things covered. No words to describe how the complex topics explained in such a simple manner. One suggestion is to include more hands-on labs with different kind of tasks.