Learn the fundamentals of generative AI for real-world applications

In Generative AI with Large Language Models (LLMs), created in partnership with AWS, you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

Enroll now

IN COLLABORATION WITH

AWS

Learn the fundamentals of developing with LLMs


What you’ll get from Generative AI with LLMs

  • Gain foundational knowledge, practical skills, and a functional understanding of how generative AI works
  • Dive into the latest research on Gen AI to understand how companies are creating value with cutting-edge technology
  • Instruction from expert AWS AI practitioners who actively build and deploy AI in business use-cases today

What you’ll do in Generative AI with LLMs

  • 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
  • Receive a Coursera certificate demonstrating your skills upon completion of the course

In partnership with

AWS

We worked with AWS to develop a world-class AI course on large language models. Our instructors, with their extensive expertise in AI and machine learning, offer practical knowledge drawn from real-world experience that can be applied to your projects and career.

Who should join?

  • For data scientists: Gain deeper knowledge into the underlying structure and mechanisms of generative AI and explore avenues for further innovations in this field.
  • For machine learning engineers: Learn how to better train, optimize and fine tune generative models while learning about different use cases and applications.
  • For prompt engineers: Explore advanced prompting techniques and learn how to control your output using generative configuration parameters.
  • For research engineers: Explore the state of art generative models and architectures in depth to build on top of with your own advanced techniques in generative AI.
  • For anyone interested in generative AI: Get an extensive introduction to developing with generative AI and its fundamentals.

Instructors

Antje Barth

Antje Barth

Instructor
Principal Developer Advocate, Generative AI, Amazon Web Services (AWS)
Chris Fregly

Chris Fregly

Instructor
Principal Solutions Architect, Generative AI, Amazon Web Services (AWS)
Shelbee Eigenbrode

Shelbee Eigenbrode

Instructor
Principal Solutions Architect, Generative AI, Amazon Web Services (AWS)
Mike Chambers

Mike Chambers

Instructor
Developer Advocate for Generative AI at AWS, Co-instructor of Generative AI with Large Language Models

What do I need to succeed in this course?

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, you’ll be ready to take this course and dive deeper into the fundamentals of generative AI.


What Learners From Previous Courses Say About DeepLearning.AI

Jan Zawadzki

“Within a few minutes and a couple slides, I had the feeling that I could learn any concept. I felt like a superhero after this course. I didn’t know much about deep learning before, but I felt like I gained a strong foothold afterward.”

Jan Zawadzki
Data Scientist at Carmeq
Kritika Jalan

“The whole specialization was like a one-stop-shop for me to decode neural networks and understand the math and logic behind every variation of it. I can say neural networks are less of a black box for a lot of us after taking the course.”

Kritika Jalan
Data Scientist at Corecompete Pvt. Ltd.
Chris Morrow

“During my Amazon interview, I was able to describe, in detail, how a prediction model works, how to select the data, how to train the model, and the use cases in which this model could add value to the customer.”

Chris Morrow
Sr. Product Manager at Amazon
Jan Zawadzki

“Within a few minutes and a couple slides, I had the feeling that I could learn any concept. I felt like a superhero after this course. I didn’t know much about deep learning before, but I felt like I gained a strong foothold afterward.”

Jan Zawadzki
Data Scientist at Carmeq
Kritika Jalan

“The whole specialization was like a one-stop-shop for me to decode neural networks and understand the math and logic behind every variation of it. I can say neural networks are less of a black box for a lot of us after taking the course.”

Kritika Jalan
Data Scientist at Corecompete Pvt. Ltd.
Chris Morrow

“During my Amazon interview, I was able to describe, in detail, how a prediction model works, how to select the data, how to train the model, and the use cases in which this model could add value to the customer.”

Chris Morrow
Sr. Product Manager at Amazon
Jan Zawadzki

“Within a few minutes and a couple slides, I had the feeling that I could learn any concept. I felt like a superhero after this course. I didn’t know much about deep learning before, but I felt like I gained a strong foothold afterward.”

Jan Zawadzki
Data Scientist at Carmeq
Kritika Jalan

“The whole specialization was like a one-stop-shop for me to decode neural networks and understand the math and logic behind every variation of it. I can say neural networks are less of a black box for a lot of us after taking the course.”

Kritika Jalan
Data Scientist at Corecompete Pvt. Ltd.
Chris Morrow

“During my Amazon interview, I was able to describe, in detail, how a prediction model works, how to select the data, how to train the model, and the use cases in which this model could add value to the customer.”

Chris Morrow
Sr. Product Manager at Amazon

Frequently Asked Questions

Join today and be on the forefront of the next generation of AI!

Want to learn more about Generative AI?

Keep learning with updates on curated AI news, courses, events, as well as Andrew’s thoughts from DeepLearning.AI!