Module 1. Introduction to LLMs
Module 2. Working with LLMs
Module 3. LLMOps in Practice
Module 4. Case Studies & Applications of LLMs
Module 5. Advanced Topics in LLMs and LLMOps
Module 6. The Future of LLMOps
What are the prerequisites for this course?
This course assumes no advanced math background. We will not be diving deep into the theory behind LLMs. All you need to get started is some basic proficiency in Python and a general understanding of deep learning.
Will it cost me anything?
The course content is 100% free. OpenAI has been generous enough to provide us with API credits, which we will make available on a first-come, first-serve basis. In addition, all enrollees will have access to Comet ML’s suite of tools.
How much time should I commit?
The course is self-paced, so you can spend as little or as much time as you want. That said, students who set aside a meaningful block of time each week—whatever “meaningful” means for your schedule—tend to see the best results.
How long will this course take?
Your time to completion will vary depending on how much time you have available. In general, we recommend one week per module as a realistic pace for most people, meaning the course would take six weeks total. Of course, you can take as long as you’d like.