GitHub Copilot (AI Coding Assistant) Complete Guide [2024]

GitHub Copilot (AI Coding Assistant) – Complete Guide [2024], available at $19.99, has an average rating of 4.39, with 48 lectures, based on 206 reviews, and has 1051 subscribers.

You will learn about Learn fundamentals of GitHub Copilot Learn how to effectively use GitHub Copilot Use GitHub Copilot with Visual Studio Use GitHub Copilot with Visual Studio Code This course is ideal for individuals who are Anyone who wants to learn GitHub Copilot It is particularly useful for Anyone who wants to learn GitHub Copilot.

Enroll now: GitHub Copilot (AI Coding Assistant) – Complete Guide [2024]

Summary

Title: GitHub Copilot (AI Coding Assistant) – Complete Guide [2024]

Price: $19.99

Average Rating: 4.39

Number of Lectures: 48

Number of Published Lectures: 47

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 47

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

Learn fundamentals of GitHub Copilot

Learn how to effectively use GitHub Copilot

Use GitHub Copilot with Visual Studio

Use GitHub Copilot with Visual Studio Code

Who Should Attend

Anyone who wants to learn GitHub Copilot

Target Audiences

Anyone who wants to learn GitHub Copilot

AI is the buzz word in programming, but AI is not going to replace developers, it is rather going to enhance the development for developers and GitHub Copilot is the proof of that! GitHub copilot has been a game changer in programming.

But in order to get maximum out of GitHub Copilot, one must know how to use it, what to ask and how to ask GitHub Copilot to fix issues. In this course we will explore all of that.

GitHub copilot analyzes your code and based on that it provides autocomplete suggestions, helps you document, fix issues and much more.

GitHub copilot is an AI code assistance tool developed by GitHub in collaboration with OpenAI. It uses machine learning models to provide intelligent coding suggestions directly in IDE like visual studio code.

GitHub copilot will help with basic tasks and common problems that a developer faces in day to day programming. Based on what you are typing and your context it provides smart suggestions ,helps with documentation, solving errors and much more.

GitHub Copilot is designed to work seamlessly alongside developers as the name implies with the role of a copilot serving as a coding companion that adapts to the developers coding preferences and enhances the coding process, ultimately accelerating productivity in software development.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: What is GitHub Copilot?

Lecture 3: Review

Lecture 4: Free Video on GitHub Copilot

Lecture 5: Signup for GitHub Copilot

Lecture 6: Installing GitHub Copilot in VS Code

Lecture 7: GitHub Copilot Settings

Chapter 2: GitHub Copilot – Part 1

Lecture 1: Create project

Lecture 2: Add Bootstrap to project

Lecture 3: Add Bootstrap NavBar

Lecture 4: Add Footer and Bootstrap Icons

Lecture 5: Center div

Lecture 6: Sticky scroll bar

Lecture 7: Inline Chat with copilot

Lecture 8: Add Tabs in Index Page

Lecture 9: Add Bootstrap carousel

Lecture 10: Add Bootstrap album

Chapter 3: GitHub Copilot – Part 2

Lecture 1: Change Default Tab to Table

Lecture 2: Add Bootstrap Grid Layout

Lecture 3: Add input fields

Lecture 4: Table Tab UI Completed

Lecture 5: Fix div hierarchy

Lecture 6: Add Charts to Project

Lecture 7: Copy to clipboard

Lecture 8: VS Code Unit Tests

Chapter 4: GitHub Copilot and Visual Studio

Lecture 1: Install extension in VS

Lecture 2: Auto Complete Suggestions

Lecture 3: Comment based result

Lecture 4: Ask question to copilot in comments

Lecture 5: Toggle between suggestions

Lecture 6: Product CRUD

Lecture 7: DataTables

Lecture 8: Fixing errors with copilot

Lecture 9: Bootstrap icons

Lecture 10: Delete Product confirm Box

Lecture 11: Sweetalert

Lecture 12: Move JS

Lecture 13: Product Repository

Lecture 14: Product Controller to use Report Repository

Lecture 15: Fixing more errors

Lecture 16: Auto Complete Suggestions

Lecture 17: Optimize Code

Lecture 18: Seed Records

Lecture 19: Explain Code

Lecture 20: Add Documentation

Lecture 21: Small Warning Fix

Lecture 22: Unit tests with copilot

Instructors

DotNet Mastery
Ultimate Training Resource for .NET Developers

Bhrugen Patel
Microsoft MVP | Passionate Software Architect

Rating Distribution

1 stars: 1 votes

2 stars: 4 votes

3 stars: 23 votes

4 stars: 89 votes

5 stars: 89 votes

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