Enterprise AI Development course with GitHub Models and Azure. This course helps developers working with Azure experiment with Large Language Models (LLM) on GitHub Models and implement their ideas as prototypes. By combining GitHub Models and Azure, you can easily move application logic throughout the different stages of a project. In this course, Rob Boss shows you how to create prototypes and development paths in GitHub Models and then scale them for deployment to Azure. Along the way, you’ll gain insights that will help you harness the power of planning and practice and move beyond the limitations of GitHub Models to the open and flexible features of Azure. This course is perfect for Azure developers looking for a quick guide to getting started with GitHub Models.
What you will learn:
- Easy prototyping and development paths in GitHub Models for Azure developers: You’ll learn how to quickly implement your ideas as prototypes in GitHub Models.
- Communication and workflow between GitHub Models and Azure: You will learn how to connect and interact between these two platforms so that you can manage your projects seamlessly.
- Demonstrate a complete transition from testing in GitHub Models to deployment in Azure: You’ll see how to transition a model from testing in GitHub Models to deployment in a production environment in Azure.
This course is suitable for people who:
- Are an Azure Developer: If you work with Azure and are looking for a way to use the language’s big models, this course is for you.
- Looking for a quick guide to getting started with GitHub Models: If you want to get up to speed with GitHub Models and be able to use it for your own projects, this course will help.
- Are interested in developing artificial intelligence: If you are interested in developing artificial intelligence applications, this course will help you get acquainted with one of the powerful tools in this field.
