Learn to containerize algorithms and deploy them to AWS with App Runner. The course teaches how to build greedy algorithms, convert them to microservices, containerize them, and deploy to AWS. Students will learn skills such as building FastAPI and C# microservices, deploying Python services to AWS, and testing APIs. The teaching method includes hands-on coding sessions and demonstrations. This course is intended for individuals interested in learning about algorithm containerization, microservices, and AWS deployment.
Learn to Containerize Algorithms and Deploy to AWS with App Runner
Overview
Syllabus
Intro
Github Code Repo of Traveling Salesman Problem
Overview of Cities in Problem
Launching Github Codespaces to work on problem
Cleaning up the code and fixing Makefile and Lint
Running simulations and minimizing the cost
Pinning version numbers in requirements.txt
Setup Github Actions
Fixing Python Black error
Create Github Actions Status Badge
Creating FastAPI Microservice
Building Greedy Coin Change Microservice
Deploying Python FastAPI Microservice to AWS with App Runner
Theory of logic to containerization
Building Containerized C# Service in AWS Cloud9 and App Runner
Testing via Curl in AWS CloudShell
Building Containerized FastAPI Service in AWS Cloud9 and App Runner
Pushing to Amazon ECR
Testing via FastAPI App Runner API with Swagger UI
Taught by
Pragmatic AI Labs
