Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 33 Minute(s)
Language
English
Taught by
Parwiz Forogh
Rating
2 views
Course Overview
Build Python REST API with FastAPI and Amazon RDS, Deploy that to Amazon Elastic Beanstalk and Route53
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
Course Content
- 5 section(s)
- 43 lecture(s)
- Section 1 Course Introduction
- Section 2 FastAPI Introduction & Installation
- Section 3 Fundamental Concepts on FastAPI
- Section 4 Asynchronous Code with FastAPI
- Section 5 FastAPI and Tortoise ORM
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
Reviews
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SShang Lun Tsai
The voice in each video starts murmuring after the first 10 seconds.
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JJosé Luis Martínez Espíritu
Great Course for start working with FastAPI, I learn a lot, how to connect AWS RDS with FAST API and how to deploy to ElastciBeanstalk
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IIván Legrán Bizarro
It is not a course for someone who has no experience. Do you learn FastApi quickly? Yes, but it hardly explains why it does what it does. In addition, the course does not have very good practices: environment variables are not used, controllers and routes are not separated, models are not separated from the file where the connection to the database is created, etc. In addition, the two projects that we made are almost identical; the differences between the first and the second are minimal; the second is asynchronous and the first not. A missed opportunity to use fastapi in different contexts.
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TTheron Lesesne
course material is not taught in a stream-line fashion. Instructor is knowledgeable, but students will need to cover FastAPI in-depth from FastAPI documentation website.
