AI Pair Programming with GitHub Copilot
1h 31mBeginner2025-04-03
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.
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 CopilotGitHubGenerative AIArtificial Intelligence FoundationsArtificial Intelligence (AI)One-Off
Concepts
0. Introduction
- 01 - GitHub Copilot and the GenAI revolution
1. Getting Familiar with Copilot
- 02 - What is Copilot
- 03 - Warning - Use responsibly
- 04 - Test flight
- 05 - Code completions
- 06 - Productivity tips and tricks for code completions
2. Building a Project with Copilot
- 07 - What we will build
- 08 - Security considerations
3. Back-End Code with Copilot
- 09 - What Copilot Chat means for project boilerplate
- 10 - Brainstorming with Copilot conversational interface
- 11 - Creating a data model with Copilot with Code Completion
- 12 - Implementing a REST API with Copilot
- 13 - Test strategy and implementation with Chat Interface
4. Front-End Fun with Copilot
- 14 - Where Copilot differs in front-end work
- 15 - Consuming our API with client-side code
- 16 - Presentation logic and HTML
- 17 - Styles
- 18 - Copilot Chat Agent Mode
- 19 - GitHub Copilot extensions
Conclusion
- 20 - Advance your AI skills with LinkedIn Learning