AI Pair Programming with GitHub Copilot (2022)

1h 17mAdvanced2023-03-30

Authors

Ronnie Sheer

Software Developer and Instructor

Course details

The future of programming is all about collaboration—humans working with machines to achieve exciting and unimagined results. AI pair programming, which integrates human- and machine-generated code, is a prime example of a tool that alleviates tedious, menial tasks to let developers focus their attention on higher-level concerns. In this course, instructor Ronnie Sheer shows you how to get the most out of GitHub Copilot, one of the most useful and impactful new tools for streamlining software development with AI.

Get a comprehensive introduction on how to use Copilot to integrate your coding with the latest AI technology. Ronnie goes over the major features of the application, focusing specifically on Python and JavaScript, and using back-end and front-end Copilot tools. By the end of this course, you’ll be prepared to create data models, implement REST APIs, and write tests, client-side code and templates, HTML, CSS, and more.

Skills covered

Github CopilotAgile Software DevelopmentGitHubArtificial Intelligence FoundationsDevOpsArtificial Intelligence (AI)Deep Dive (X:Y)

Concepts

0. Introduction

01 - Human-AI collaboration

Getting Familiar with Copilot

02 - What is Copilot
03 - Warning - Use responsibly
04 - Test flight
05 - Productivity tips and tricks

Building a Project with Copilot

06 - What we will build
07 - Security considerations

Backend Code with Copilot

08 - Using Copilot for project boilerplate
09 - High level thinking without Copilot
10 - Creating a data model with Copilot
11 - Implementing a REST API with Copilot
12 - Writing tests with Copilot

Front End Fun with Copilot

13 - Where Copilot differs in front end work
14 - Consuming our API with client-side code
15 - Presentation logic and HTML
16 - Styles

Conclusion

17 - Next steps