Github Codespaces Course

GitHub Codespaces Course A full introduction to Codespaces with practical examples

This course will show you everything you need to know to be productive using

GitHub Codespaces

, a service that allows you to run a configurable development environment with

one-click

launch with a remote compute in the cloud. Being able to run Visual Studio Code in the cloud for any project with a pre-configured environment is going to allow you to concentrate on the learning if you are student, the teaching if you are a professor, or being plain productive if you are already a technologist. Learning Objectives This course goes through some of the basics of using default Codespaces environments, but it also goes into configuring environments to take advantage of its best features, including: Learning about Codespaces uses and how it fits for learning, teaching, or working in projects

Running default Codespaces and configuring it in your GitHub account

Configuring Codespaces for different development environments

Applying practical examples in Codespaces environments using Docker, Python, and many other tools

About your instructor Alfredo Deza

has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru.
He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience creating courses with Codespaces is seen throughout this course, where you will get a first-hand experience with practical examples as well as applicable configuration for any development environment.
Resources
Python Bootcamp

Pytest Master Class

Practical MLOps book

What is GitHub Codespaces

Azure Codespaces Template

What you'll learn
Description
GitHub Codespaces Course A full introduction to Codespaces with practical examples

This course will show you everything you need to know to be productive using

GitHub Codespaces

, a service that allows you to run a configurable development environment with

one-click

launch with a remote compute in the cloud. Being able to run Visual Studio Code in the cloud for any project with a pre-configured environment is going to allow you to concentrate on the learning if you are student, the teaching if you are a professor, or being plain productive if you are already a technologist. Learning Objectives This course goes through some of the basics of using default Codespaces environments, but it also goes into configuring environments to take advantage of its best features, including: Learning about Codespaces uses and how it fits for learning, teaching, or working in projects

Running default Codespaces and configuring it in your GitHub account

Configuring Codespaces for different development environments

Applying practical examples in Codespaces environments using Docker, Python, and many other tools

About your instructor Alfredo Deza

has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru.
He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience creating courses with Codespaces is seen throughout this course, where you will get a first-hand experience with practical examples as well as applicable configuration for any development environment.
Resources
Python Bootcamp

Pytest Master Class

Practical MLOps book

What is GitHub Codespaces

Azure Codespaces Template

Overview

Lesson 1
Lecture 1 Meet Your Instructor
Lecture 2 What Is Codespaces
Lesson 2
Lecture 1 Introduction To Running Codespaces
Lecture 2 Run A Default Codespace
Lecture 3 Options To Run Codespaces
Lecture 4 Local Vscode With Codespaces
Lecture 5 Autosave Timeouts And Lifecycle
Lesson 3
Lecture 1 Codespaces Configuration
Lecture 2 Adding Configuration With Dev Containers
Lecture 3 Configuring The Environment
Lecture 4 Configuring The Editor
Lecture 5 Exporting Ports
Lecture 6 Adding Secrets
Lecture 7 Preconfigured Dotfiles
Lesson 4
Lecture 1 Practical Examples
Lecture 2 Using Docker And Containers
Lecture 3 Setup A Python Virtualenv
Lecture 4 Troubleshooting
Lecture 5 Build Huggingface Api With Codespaces
Lecture 6 Differences In Vscode
Lesson 5
Lecture 1 Conclusion