Gain insights into building REST APIs with FastAPI, explore parallel processing in Python, and discover how to deploy APIs on Microsoft Azure with a CI/CD pipeline using GitHub.

Build a REST API Using Python and Deploy It to Microsoft Azure.png

fastapi-docker.tar.gz

FastAPI-test

Python3

In this course, you will learn how to build a REST API using a lighter web framework for Python, i.e., FastAPI. You will learn the basics of FastAPI and learn how to implement parallel processing in Python APIs.

Finally, you will deploy your API on Microsoft Azure and build a Continuous Integration/Continuous Development (CI/CD) Pipeline using Github.

Build a REST API Using Python and Deploy it to Microsoft Azure

## Create an Azure App Services resource
Now that we have our *API* on GitHub, it is time to create an *Azure App Services* resource. We have Linux as the App Service OS. Follow the steps below to create the resource. 

# Create an Azure App Services resource
Now that we have our *API* on GitHub, it is time to create an *Azure App Services* resource. We have Linux as the App Service OS. Follow the steps below to create the resource. 

Learn to create an Azure App Service and connect it to your Github repository for CI/CD.

Overview of the Course

Building Blocks of an API in Python

Learn the Basics of FastAPI

Optical Character Recognition API Using Tesseract - Project 1

Cloud and Microsoft Azure Services

Text Analytics API Using Azure Cognitive Services - Project 2

Deploy the REST API on Microsoft Azure

Pop Quiz

Appendix

Create an App Service and Connect to Github for CI/CD

Create an Azure App Services resource