Udemy – Python REST API with FastAPI, Amazon RDS & Elastic Beanstalk
English | Tutorial | Size: 1.92 GB
Build Python REST API with FastAPI and Amazon RDS, Deploy that to Amazon Elastic Beanstalk and Route53
Welcome to Python REST API with FastAPI, Amazon RDS & Elastic Beanstalk, in this course we are going to build Python REST API with FastAPI, also we are going to learn how to integrate Amazon RDS with FastAPI and how you can deploy your Python REST API to Elastic Beanstalk, first of all let me talk about FastAPI and Elastic Beanstalk, also we will learn that how you can build Asynchronous API’s with Python and FastAPI.
What is FastAPI
FastAPI is a Web framework for developing RESTful APIs in Python. FastAPI is based on Pydantic and type hints to validate, serialize, and deserialize data, and automatically auto-generate OpenAPI documents. It fully supports asynchronous programming and can run with Uvicorn and Gunicorn.
What is Amazon RDS
Amazon Relational Database Service (RDS) is a distributed relational database service by Amazon Web Services. It is a web service running “in the cloud” designed to simplify the setup, operation, and scaling of a relational database for use in applications.
What is Elastic Beanstalk
AWS Elastic Beanstalk is an orchestration service offered by Amazon Web Services for deploying applications which orchestrates various AWS services, including EC2, S3, Simple Notification Service, CloudWatch, autoscaling, and Elastic Load Balancers.
This course is divided on to different sections
1: In the first section we will have a simple introduction to FastAPI and also we are going to learn about installation process
2: In the second section we are going to learn about fundamental concepts of FastAPI, also in this section we integrate amazon RDS (Relations Database Service ) with FastAPI, at the end we deploy our Python REST API to Heroku.
3: In the third section we are going to learn about building asynchronous API’s with Python and FastAPI, we will talk about user system, authorization, API router and token authentication, at the end we deploy our project to Amazon Elastic Beanstalk, after that we buy a domain name from Amazon Route53 and we add our custom domain in the Python REST API, at the end we request SSL Certificate from Amazon Certificate Manager and we secure our Python REST API.
4: in the last section we talk about Tortoise ORM (Object Relational Mapper ) and we create some examples
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