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04 - Deploy AI

In this folder you will find exercises to help increase your understanding of how to deploy AI Apps to Azure.

Below is a list of each of the labs in this section and what each one sets out to achieve.

01-Backend API

Pick one of the following APIs to deploy depending on whether you are more oriented towards C# or Python development.

ACS + Semantic Kernel C#

In this lab, we'll turn the 03-orchestration/04-ACS/acs-sk-csharp.ipynb notebook lab into an ASP.NET Core API that can then be consumed by the frontend UI application.

ACS + Langchain Python

In this lab, we'll turn the 03-orchestration/04-ACS/acs-lc-python.ipynb notebook lab into a Python FastAPI API that can then be consumed by the frontend UI application.

02-Frontend UI

Chat UI using Chainlit

In this lab, we'll walk through deploying a simple UI that will consume the ASP.NET Core or Python FastAPI API in the first deployment section above. The UI will be built using a ChainLit App built in Python which is a simple and easy way to quickly mockup a UI for a ChatGPT like experience.