Python REST API with FastAPI, Amazon RDS & Elastic Beanstalk

🚀 Course Title: Python REST API with FastAPI, Amazon RDS & Elastic Beanstalk

👩‍💻 Course Headline: Build Python REST API with FastAPI and Amazon RDS, Deploy that to Amazon Elastic Beanstalk and Route53

Course Description:

Hello Students,

Welcome to the comprehensive journey of mastering Python REST API development using FastAPI, integrating with Amazon RDS (Relational Database Service), and deploying your applications on AWS Elastic Beanstalk. This course is meticulously designed to help you build robust asynchronous APIs, handle database operations efficiently with Amazon RDS, and deploy your application at scale using AWS Elastic Beanstalk.

🎯 Course Overview:

What is FastAPI? 🤖 FastAPI is a cutting-edge, high-performance web framework for building efficient APIs with Python. It's built upon Pydantic and type hints to ensure your data is validated, serialized, and deserialized seamlessly. FastAPI also automatically generates OpenAPI (formerly Swagger) documents, providing an interactive API documentation for your applications.

What is Amazon RDS? 🗃️ Amazon RDS is a fully managed relational database service that simplifies the setup, operation, and scaling of a relational database in the cloud. With Amazon RDS, you can set up, manage, and scale an SQL database with just few clicks, and it supports popular database engines like MySQL, PostgreSQL, Oracle, and MariaDB.

What is AWS Elastic Beanstalk? 🚀 Amazon Elastic Beanstalk is the easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Amazon EC2 or on AWS Fargate.

📖 Course Sections:

Section 1: Introduction to FastAPI & Installation 🏗️ We'll start with the basics of FastAPI and guide you through the installation process, setting up your development environment to begin your API journey.

Section 2: Fundamentals of FastAPI with Amazon RDS Integration & Heroku Deployment 🤝 In this section, we'll delve into the core concepts of FastAPI, integrate a relational database using Amazon RDS, and deploy our initial REST API to Heroku.

Section 3: Building Asynchronous APIs with Python & FastAPI, Deployment to Elastic Beanstalk, Custom Domain Setup with Route53, and SSL Certificate from AWS Certificate Manager 🔧 This is where things get exciting! We'll cover how to build asynchronous APIs, handle user systems, authorization, API router, and token authentication. After deploying our project to Amazon Elastic Beanstalk, we'll register a custom domain using Amazon Route53 and secure our application with an SSL certificate from AWS Certificate Manager.

Section 4: Advanced Topics & Tortoise ORM Examples 🕸️ In this final section, we'll explore advanced topics and demonstrate practical examples using the Tortoise ORM to interact with Amazon RDS databases in our FastAPI applications.

By the end of this course, you will have a solid understanding of how to build, deploy, and secure Python REST APIs with FastAPI and integrate them with Amazon RDS and AWS Elastic Beanstalk. Join us on this adventure to elevate your Python skills and build scalable applications on the cloud! 🌟

Enroll now and embark on this transformative learning experience!