CF

AI Coding with GitHub Copilot

1h 8m 6s
English
Paid

Embrace the future of coding with GitHub Copilot, a revolutionary AI-powered programming assistant that enhances your coding efficiency and speed.

Why Choose GitHub Copilot?

GitHub Copilot is an innovative tool that elevates the coding experience by translating natural language into functional code. Trained on millions of lines of code, it offers intelligent suggestions across multiple programming languages and a wide range of frameworks, empowering developers to code more efficiently.

The Future of Coding with AI

As developers continue to explore the capabilities of GitHub Copilot, its potential to become the standard AI coding tool becomes increasingly evident. This tool not only boosts productivity but also fosters a more creative and streamlined coding process, making it an indispensable asset in a programmer's toolkit.

About the Author: Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

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#1: Introduction
All Course Lessons (12)
#Lesson TitleDurationAccess
1
Introduction Demo
05:05
2
GitHub Copilot: A Powerful Tool for Experienced Coders
10:17
3
Setting Up GitHub Copilot in PyCharm
03:26
4
Setting Up GitHub Copilot in VSCode
06:28
5
Using GitHub Copilot
04:13
6
GitHub Copilot Chat - Part 1
03:52
7
GitHub Copilot Chat - Part 2
05:02
8
Project Requirements
08:07
9
Project Solution
04:22
10
GitHub Copilot Agents: @terminal and @vscode
07:13
11
GitHub Copilot Agents: @workspace
05:28
12
VSCode Speech for GitHub Copilot
04:33
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Frequently asked questions

What are the prerequisites for enrolling in this course?
The course is designed for experienced coders. A solid understanding of programming concepts and experience in using IDEs like PyCharm or VSCode are recommended to fully benefit from the lessons. This foundation will help you effectively set up and utilize GitHub Copilot in your development environment.
What kind of project will I work on during the course?
The course includes a section on project requirements and solutions, which means you will engage in a hands-on project. This project will provide practical experience in using GitHub Copilot to translate natural language into functional code, thereby reinforcing the lessons on using this AI-powered tool.
Who is the target audience for this course?
This course is intended for experienced programmers who want to enhance their coding efficiency with the help of AI. Those familiar with IDEs like PyCharm and VSCode will find the course particularly beneficial, as it covers setting up and using GitHub Copilot in these environments.
How does this course compare in depth and scope to other AI coding courses?
This course specifically focuses on GitHub Copilot and its capabilities as an AI coding assistant. Unlike broader AI courses, it provides practical insights into setting up and using GitHub Copilot in development environments such as PyCharm and VSCode, along with detailed sessions on Copilot chat and agents, offering a targeted learning experience.
What specific tools or platforms will I learn to use in this course?
You will learn to set up and use GitHub Copilot within PyCharm and VSCode. The course also covers GitHub Copilot Chat and the use of Copilot agents such as @terminal and @workspace, providing comprehensive insights into these tools and enhancing your ability to integrate AI into your coding workflow.
What topics are not covered in this course?
The course does not delve into the underlying machine learning models or data training processes behind GitHub Copilot. It focuses more on the practical application of the tool in coding environments rather than the technical details of AI development.
What is the estimated time commitment for completing this course?
The course consists of 12 lessons, but the exact runtime is not specified. Given the inclusion of setup tutorials, project work, and practical tool usage, a reasonable estimate would be several hours of active engagement, depending on your existing experience and pace of learning.