Learn to Python for DevOps Five Time O'Reilly Author and AWS ML Hero Noah Gift

Learn to master DevOps with the Python Language :

• 00:00 Intro
• 02:12 What is DevOps?
• 05:00 Create Github Repo
• 18:00 Statements in Python using Colab
• 30:32 Create Python Scaffold using Github Codespaces
• 37:00 Create Python Virtualenv and add to ~/.bashrc
• 40:53 Launch AWS CloudShell and checkout code
• 42:09 Launch AWS Cloud9
• 46:00 Freezing packages with pip freeze
• 55:00 Setup Github Actions
• 01:14:31 Test code with Github Actions and Pytest
• 01:23:00 Build CLI with Python and Python Fire
• 01:25:52 Build Python Lambda Functions
• 01:40:00 Build AWS Step Functions
• 01:43:00 Build Python Fire Step Functions
• 01:57:00 Build Containerized Microservice with FastAPI and AWS App Runner

This course covers the following learning objectives:

• Learning what DevOps is.
• Learning how to Apply CI/CD best practices
• Learning to build real-world solutions with AWS, Python and FastAPI

• Pytest Master Class
• AWS Solutions Architect Professional Course
• Github Actions and GitOps in One Hour Video Course
• Jenkins CI/CD and Github in One Hour Video Course
• AWS Certified Cloud Practitioner Video Course
• Advanced Testing with Pytest Video Course
• AWS Solutions Architect Certification In ONE HOUR
• Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices
• MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps
• Learn Docker containers in One Hour Video Course
• Introduction to MLOps Walkthrough
• AZ-900 (Azure Fundamentals) Quick reference guide
• 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda
• Learn GCP Cloud Functions in One Hour Video Course
• Python Devops in TWO HOURS!
• MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn *AWS Machine Learning Certification In ONE HOUR
• Fast, documented Machine Learning APIs with FastAPI
• Zero to One: AWS Lambda with SAM and Python in One Hour
• AWS Storage Solutions 2022: EBS/S3/EFS/Glacier
• Python Bootcamp for Data
• Testing In Python book
• Minimal Python book
• Practical MLOps book
• Python for DevOps-Playlist