AI Pair Programming with GitHub Copilot

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Ronnie Sheer

1:15:36

110 View

01 - Introduction

01 - Human-AI collaboration.mp4

01:02

02 - Getting Familiar with Copilot

01 - What is Copilot.mp4

02:24

02 - Warning Use responsibly.mp4

01:24

03 - Test flight.mp4

05:39

04 - Productivity tips and tricks.mp4

02:36

03 - Building a Project with Copilot

01 - What we will build.mp4

00:42

02 - Security considerations.mp4

01:18

04 - Backend Code with Copilot

01 - Using Copilot for project boilerplate.mp4

04:41

02 - High level thinking without Copilot.mp4

01:21

03 - Creating a data model with Copilot.mp4

08:51

04 - Implementing a REST API with Copilot.mp4

09:03

05 - Writing tests with Copilot.mp4

07:53

05 - Front End Fun with Copilot

01 - Where Copilot differs in front end work.mp4

00:46

02 - Consuming our API with client-side code.mp4

11:02

03 - Presentation logic and HTML.mp4

10:43

04 - Styles.mp4

05:20

06 - Conclusion

01 - Next steps.mp4

00:51

Description

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.

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Artificial Intelligence

GitHub

Ronnie Sheer

Instructor's Courses

Experienced full stack developer focusing on scalable services using Python and Javascript. A seasoned public speaker, with a passion for teaching and mentoring in tech.

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