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

## Cloud computing
**Cloud computing** can be defined as any virtual space provided to store all your data using the internet. This space is used to store and access the data anytime. It offers you several services including servers, data storage, software, networking, etc. 

It is one of the best and most popular sources to store your data and keep it safe.
Multiple types of services and deployment models fall under the umbrella of cloud computing. 

## Cloud deployment models
A *cloud deployment model* is a specific configuration of environmental parameters such as the accessibility and proprietorship of the deployment infrastructure and storage size. This means that deployment types vary depending on who controls the infrastructure and where it is located.

The visualization below discusses the different cloud deployment models.

# Cloud computing
**Cloud computing** can be defined as any virtual space provided to store all your data using the internet. This space is used to store and access the data anytime. It offers you several services including servers, data storage, software, networking, etc. 

It is one of the best and most popular sources to store your data and keep it safe.
Multiple types of services and deployment models fall under the umbrella of cloud computing. 

# Cloud deployment models
A *cloud deployment model* is a specific configuration of environmental parameters such as the accessibility and proprietorship of the deployment infrastructure and storage size. This means that deployment types vary depending on who controls the infrastructure and where it is located.

The visualization below discusses the different cloud deployment models.

Learn about cloud computing and its different deployment models and services.

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

Introduction to the Cloud

Cloud computing

Cloud deployment models