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

## Implement concurrent processing using `FastAPI`
We will be using all the concepts that we have discussed so far to implement an API that will support the concurrent processing of tasks. Later on, we will use this concept to build our final project.

Let us see the code now.

# Implement concurrent processing using `FastAPI`
We will be using all the concepts that we have discussed so far to implement an API that will support the concurrent processing of tasks. Later on, we will use this concept to build our final project.

Let us see the code now.

Learn to implement concurrent processing using FastAPI.

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

Implement API With Parallel Processing

Implement concurrent processing using `FastAPI`