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YouTube

Build Real-World AWS Microservices with Python and FastAPI From Zero

Pragmatic AI Labs via YouTube

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Overview

Learn to build real-world AWS microservices using Python and FastAPI from scratch. The course covers topics such as setting up GitHub CodeSpaces, building Python projects, using AWS services, integrating Docker, and practicing DevOps with Python and FastAPI. The course aims to teach deploying AWS microservices, practicing DevOps, and using various Python tools and libraries. The teaching method includes hands-on demonstrations and step-by-step guidance. This course is intended for individuals interested in learning about AWS, DevOps, Python programming, and building microservices.

Syllabus

* Introduction
* Learning to use Github CodeSpaces
* Building Python Project Scaffolding
* Building Python virtualenv
* Adding a Python Dependency
* Setup GitHub Actions
* Running Pylint on your project
* Using a library you created
* Building library tests with Pytest
* Building CLI tools with Python Fire
* Using IPython with libraries
* Exploring Python wikipedia library
* Using FastAPI and uvicorn
* Exploring FastAPI Swagger API docs for microservice with wikipedia library
* Adding NLP with textblob library in Python
* Running tests with Pytest
* Integrating Docker with FastAPI
* Using AWS ECR Elastic Container Registry with FastAPI
* Integrating AWS CodeBuild for Continuous Delivery to ECR

Taught by

Pragmatic AI Labs

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