Python REST API with FastAPI, Amazon RDS & Elastic Beanstalk

Name: Python REST API with FastAPI, Amazon RDS & Elastic Beanstalk
Rating: 4.3 (24 reviews)

Build Python REST API with FastAPI and Amazon RDS, Deploy that to Amazon Elastic Beanstalk and Route53

Created byParwiz Forogh

Last updated 11/2022

English

What you'll learn

In this course you will learn how to build REST API's with Python and FastAPI
In this course students learn how to Deploy Python REST API in Heroku
In this course students learn how to integrate Amazon RDS with FastAPI
In this course students learn how to build asynchronous API's with Python and FastAPI
In this course students learn how to deploy Python REST API to Amazon Elastic Beanstalk
In this course students learn how to buy domain name from Amazon Route53 and how to integrate that with FastAPI
In this course students learn how to add SSL Certificate to Python REST API and how we can secure our REST API

Course content

5 sections • 43 lectures • 4h 33m total length

Course Introduction4:24
Get started with building Python REST APIs using FastAPI, connecting to Amazon RDS, and deploying to Elastic Beanstalk, with domain setup, SSL certificates, and JWT authentication.
Course Requirements1:16

Path Parameters in FastAPI6:57
Query Parameters in FastAPI4:41
Learn how non-path parameters in FastAPI are automatically treated as query parameters, and see how skip and limit control article listings via URL query strings like?skip=0&limit=20.
Request Body in FastAPI5:22
Database & Models in FastAPI19:15
Inserting Data8:45
Getting All Data6:29
Get Single Article4:33
Update Data5:52
Delete Data3:27
Introduction to Amazon RDS15:24
Create MySQL Database in Amazon DB Instance4:28
Create a MySQL database inside an Amazon RDS db instance using MySQL Workbench, connect with the endpoint, and name it fast api; next, models.py will create tables for fast api.
FastAPI MySQL Database Configuration7:41
Deploy FastAPI to Heroku11:21

FastAPI Async Create Project8:47
Create Database7:09
Insert Data7:05
Get All Data2:59
Get Details of Data5:38
Update Data4:32
Delete Data1:45
FastAPI API Router5:00
Create User System10:36
Get All Users3:00
Login User7:09
Create JWT Token7:38
Protect Routes15:27
Implement token-based authentication using jwt and get current user to protect routes, decode token data, and restrict article CRUD to authorized users.
Push FastAPI Project to GitHub6:21
Push your fast api project to GitHub to prepare for Elastic Beanstalk deployment. Create dot eb extensions, a fast api config, and a proc file, then commit and push.
Deploy API to Amazon Elastic Beanstalk15:29
Health Problem in Amazon Elastic Beanstalk1:57
Identify and fix a health problem in Elastic Beanstalk by updating the target group's health check path, restoring the Fast API deployment to a healthy state.
Buy Custom Domain from Amazon Route534:56
Learn how to buy a domain using Amazon Route 53, understand hosted zones as a collection of records for a domain, and navigate the console to register and manage it.
Add Domain Name to FastAPI9:21
Request SSL Certificate from AWS Certificate Manager1:55
Add SSL to Python REST API2:51

Requirements

Basic Knowledge of Python

Description

Hello Students

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

Who this course is for:

Python developers who are interested in building REST API with Python, FastAPI, Amazon RDS, Elastic Beanstalk and Route53

Python REST API with FastAPI, Amazon RDS & Elastic Beanstalk

What you'll learn

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Course content

Course Introduction2 lectures • 6min

FastAPI Introduction & Installation2 lectures • 10min

Fundamental Concepts on FastAPI13 lectures • 1hr 44min

Asynchronous Code with FastAPI20 lectures • 2hr 10min

FastAPI and Tortoise ORM6 lectures • 24min

Requirements

Description

Who this course is for: