AI
Programming
Git

GitHub Copilot in Action

Leverage GitHub Copilot for AI-enhanced coding through Visual Studio integration and workflow optimization.
Jeremy Morgan
Jeremy Morgan
Innovative Tech Leader, Linux Expert, & Educator
GitHub Copilot in Action
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What you’ll learn

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Description

Unlock the power of AI in software development with our comprehensive GitHub Copilot course. Designed to enhance your coding experience, this course introduces you to the features and techniques that will transform your development workflow.

What You Will Learn in this Course:

Introduction to GitHub Copilot

Get started with an overview of GitHub Copilot, an AI-driven pair programming tool. Understand its strengths and limitations, ensuring you are aware of its capabilities and boundaries. You'll learn to configure Copilot in Visual Studio and experience a live demo showcasing basic code completion, setting the stage for a seamless integration into your coding environment.

Core Features

Delve into Copilot's core features, which offer significant productivity gains. Explore quick wins that can immediately enhance your efficiency and understand the concept of comment-driven development, where Copilot turns comments into code, streamlining your coding process.

Using Copilot Efficiently

Discover strategies to maximize efficiency with Copilot. From creating new projects to developing APIs and wiring up backends, learn how Copilot can simplify complex coding tasks. Gain insights into generating in-code and API documentation, along with automating unit test creation, making your development process more robust and well-documented. Conclude with a summary of key learnings to continue applying Copilot's benefits in your future projects.

Learning Outcomes:

By the end of this course, participants will be equipped with the skills to harness GitHub Copilot effectively, transforming their coding workflow through AI-enhanced programming. They will gain a solid foundation in integrating Copilot into various development tasks, from code completion to documentation and testing.

This course empowers developers to blend their existing coding expertise with cutting-edge AI technology, ensuring they remain at the forefront of software development innovation.

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What our students say

Jeremy Morgan

About the instructor

Jeremy Morgan is a Senior Training Architect with endless enthusiasm for learning and sharing knowledge. Since transitioning from an engineering practitioner to an instructor in 2019, he has been dedicated to helping others excel. Passionate about DevOps, Linux, Machine Learning, and Generative AI, Jeremy actively shares his expertise through videos, articles, talks, and his tech blog, which attracts 9,000 daily readers. His work has been featured on Lifehacker, Wired, Hacker News, and Reddit.

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Introduction to GitHub Copilot

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Lesson Content

Module Content

Course Introduction 01:58
Understanding AI pair programming 04:35
Copilot's Strengths and Limitations 04:56
Configuring Copilot Visual Studio 04:59
Demo: Basic Code Completion 11:06
How to Reach Out to KodeKloud and Engage with the Community

Core Features

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Lesson Content

Module Content

Introduction 00:16
Quick Wins for Immediate Productivity Gains 11:15
Comment-driven Development 07:38

Using Copilot Efficiently

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Lesson Content

Module Content

Introduction 01:33
Creating a New Project: Fake Data Generator 21:54
Building out our tool - Creating the API 21:52
Building out our tool - Wiring up the Backend 23:19
Creating In-code documentation 09:31
Creating Unit Tests 13:17
Creating API Documentation 12:39

Frequently Asked Questions

Who are KodeKloud courses for?

KodeKloud courses are designed for learners at different skill levels, from beginners to experienced IT professionals looking to develop or strengthen their technical skills.

Do KodeKloud courses include hands-on practice?

Yes. Many KodeKloud courses include hands-on labs and practical exercises that let you apply what you learn in real-world environments.

Do I need any prior experience to take a KodeKloud course?

Prerequisites vary by course. Each course page provides information about the recommended knowledge or experience you may need before starting.

Can I learn at my own pace?

Yes. KodeKloud courses are designed for self paced learning, so you can learn according to your schedule and revisit lessons and practice activities as needed.

Can I access KodeKloud courses on mobile devices?

Yes. KodeKloud can be accessed through supported web browsers and mobile devices, allowing you to learn from different devices.

Do KodeKloud courses provide certificates?

Certificate availability depends on the course and your KodeKloud plan. Check the individual course page or your account for the applicable certificate details.

How long does it take to complete a KodeKloud course?

Course completion time varies depending on the course length, your prior experience, and how much time you spend on hands-on practice.

Can I practice while taking the course?

Yes. Courses that include hands-on labs allow you to practice concepts as you progress through the lessons.

 How do I start learning a KodeKloud course?

Choose a course that matches your learning goals, review its requirements and curriculum, and select the available subscription option to start learning.

GitHub Copilot in Action
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GitHub Copilot in Action
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16
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