Name: GH-300: Github Copilot – Complete Exam Preparation Guide
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Created byAnton Voroniuk, Dmytro Vasyliev, Anton Voroniuk Support

Last updated 4/2026

English

What you'll learn

Use GitHub Copilot confidently in VS Code, including code completions, inline chat, smart actions, and agent more and others.
Understand Responsible AI: risks, limitations, potential harms of generative AI, and how to use AI tools in an ethical and safe way.
Explain how GitHub Copilot handles data, including data pipelines, privacy, configuration options, and context management.
Learn Prompt Engineering to get better code suggestions, automate repeated tasks, and use Copilot effectively across real use cases.
Build a complete Calculator app with AI from scratch using GitHub Copilot for coding, refactoring, writing tests and documentation to enhance your skills.

Course content

11 sections • 98 lectures • 8h 38m total length

Welcome to the Course1:39
This lesson is an introduction to the course.
Useful Resources for Exam Preparation3:10
How to Study on Udemy2:15
In this lesson, you will explore how to study on the platform.

Introduction: You Can Handle Responsible AI0:30
Learn how to use GitHub Copilot responsibly by understanding ethical considerations, limitations, and best practices.
What is Responsible AI?2:58
Learn what responsible AI means and why ethical development and usage are essential in today’s rapidly evolving technological landscape.
Risks Associated with Using AI4:48
Explore the potential risks of AI, including privacy concerns, biased output, and misuse, and understand why awareness is key.
Limitations of Using Generative AI Tools4:55
Understand what generative AI can and cannot do, including accuracy boundaries, missing context, and dependency on training data.
Need to Validate the Output of AI Tools4:56
Recognize why human oversight is crucial and learn how to verify AI-generated information for accuracy, reliability, and appropriateness.
How to Operate a Responsible AI3:34
Discover best practices for using AI tools responsibly, including transparency, fairness, and accountability in decision-making.
Potential Harms of Generative AI5:31
Identify the possible negative impacts of generative AI, from misinformation to biased content and unintended consequences.
How to Mitigate the Occurrence of Potential Harms5:34
Learn practical strategies to reduce risks, including monitoring, ethical guidelines, and responsible implementation techniques.
Explain Ethical AI2:55
Gain a clear understanding of ethical AI principles, focusing on fairness, transparency, inclusivity, and respect for human rights.
Do a Quick Knowledge Check

Introduction: You’ll Get Comfortable with Copilot0:29
Build confidence using GitHub Copilot as a daily development companion across common coding workflows.
Overview of GitHub Copilot5:08
Explore a high-level summary of GitHub Copilot's capabilities and its role in modern development.
Github Copilot Payment Plans & Limitations7:59
Understand the different subscription tiers, pricing, and key usage limitations of GitHub Copilot.
Understand Github Copilot Data Privacy5:36
Review GitHub Copilot's policies on data handling, privacy, and code security.
Setting Up Github Copilot and VS Code4:51
Follow the step-by-step guide to install and configure GitHub Copilot within your VS Code environment.
Quick Start with GitHub Copilot in VS Code8:19
Begin writing code immediately with a practical, hands-on introduction to using Copilot.
Learn more about Code Completions8:42
Deep dive into how Copilot suggests and completes code snippets, functions, and entire blocks.
Use Inline Chat for Editor and Terminal3:37
Master using the integrated chat feature directly within your editor and terminal for quick queries and commands.
Github Copilot Smart Actions7:03
Discover and utilize the intelligent, context-aware actions Copilot offers to streamline your workflow.
Use of Github Copilot Chat Interface7:08
Learn to interact with the dedicated Copilot Chat panel for complex tasks and conversations.
Using Copilot Chat – Ask Mode6:23
Use the 'Ask' mode to get explanations, documentation, and general programming knowledge.
Editing Code with Copilot – Edit Mode7:33
Leverage Copilot to intelligently refactor, modify, and improve existing sections of code.
Automate Tasks with Copilot – Agent Mode10:54
Automate multi-step development tasks by instructing Copilot to act as an intelligent agent.
Using Chat Context for Better Responses13:24
Understand how to provide and manage context to ensure Copilot delivers highly relevant and accurate responses.
How Workspace Indexing Works in Copilot5:00
Learn how Copilot indexes your project files to provide context-aware suggestions across your entire workspace.
Manage Ignored Files in Copilot with .gitignore4:28
Configure your .gitignore file to manage which files Copilot should ignore for privacy and relevance.
Do a Quick Knowledge Check

Introduction: You Can Understand How Copilot Works0:30
Understand how GitHub Copilot generates suggestions and what influences the quality of its output.
Data pipeline lifecycle of GitHub Copilot code suggestions in the IDE4:34
Trace the journey of a code suggestion from the model to your IDE and back.
How GitHub Copilot handles data6:07
Examine the specific mechanisms and protocols Copilot uses to process and secure your code data.
Limitations of GitHub Copilot (and LLMs in general)4:27
Identify the current constraints and potential pitfalls of using Copilot and Large Language Models (LLMs).
Do a Quick Knowledge Check

Introduction: You Can Learn Powerful Prompts0:28
Discover how to write effective prompts that guide Copilot to produce accurate and useful code.
What is prompt engineering?4:54
Define prompt engineering and its critical role in maximizing the utility of AI coding assistants.
How the context for the prompt is determined4:45
Analyze how Copilot determines the relevant code and documentation to inform its suggestions.
Language options for promoting GitHub Copilot3:24
Discover the various natural and programming languages you can use to effectively prompt Copilot.
Different parts of a prompt2:34
Break down the essential components of a well-structured prompt for clear communication with the AI.
Role of prompting2:32
Understand the fundamental purpose and impact of effective prompting on the quality of AI-generated code.
Difference between zero-shot & few-shot prompting3:42
Differentiate between zero-shot and few-shot prompting techniques and when to apply each.
How chat history is used with GitHub Copilot3:28
Learn how Copilot utilizes the history of your chat conversation to maintain context and continuity.
Prompt crafting best practices when using GitHub Copilot4:10
Adopt proven strategies for crafting prompts that yield the most accurate and helpful code suggestions.
Prompt engineering principles, training methods, best practices6:07
Explore the core principles, training methods, and advanced best practices of prompt engineering.
Prompt process flow6:40
Map out the step-by-step process flow from prompt creation to receiving and implementing the AI's output.
Understand Prompt Files for Repeated Tasks3:01
Learn to create and use prompt files to standardize and repeat complex or frequent prompting tasks.
Create Your Own Prompt Files6:08
A practical guide to structuring and saving your custom prompt files for personal or team use.
Overview Community Popular Prompts Files5:52
Review a curated selection of highly-rated and effective prompt files shared by the developer community.
Prompt Files Templates for Developers0:41
Understand Agent Skills in GitHub Copilot5:49
Learn what Agent Skills are and how they enhance GitHub Copilot's functionality.
Overview Popular Agent Skills from the Community8:45
Explore top community-created Agent Skills and their real-world uses.
Build and Configure Your First Agent Skill9:18
Create and set up your first custom Agent Skill in GitHub Copilot.
Ready-to-Use Agent Skill Templates for Developers0:51
Access ready-to-use Agent Skill templates to automate common tasks.
Do a Quick Knowledge Check

Introduction: You’ll See Where AI Helps You0:32
Identify practical scenarios where GitHub Copilot delivers the greatest productivity gains.
Why You Should Use Github Copilot1:02
Review the compelling reasons and benefits for integrating GitHub Copilot into your daily development routine.
Popular Use Cases of GitHub Copilot for Developers7:18
Examine a collection of the most common and impactful ways developers are leveraging Copilot today.
Learning new programming languages and frameworks3:22
Use Copilot as a tutor to quickly grasp the syntax and idioms of unfamiliar languages and frameworks.
Language translation3:17
See how Copilot can instantly translate code snippets between different programming languages.
Context switching3:18
Minimize the cognitive load of switching between projects or tasks with Copilot's contextual assistance.
Writing documentation2:20
Automate the creation of clear, concise, and accurate documentation for your code and functions.
Personalized context-aware responses4:54
Understand how Copilot tailors its responses based on your specific coding style and project context.
Generating sample data2:26
Quickly generate realistic and relevant sample data for testing and development purposes.
Modernizing legacy applications2:33
Use Copilot to assist in updating, refactoring, and migrating older codebases to modern standards.
Debugging code2:55
Leverage Copilot's analytical capabilities to identify, explain, and suggest fixes for bugs in your code.
Data science3:48
Explore how Copilot can assist with data manipulation, statistical analysis, and visualization tasks.
Code refactoring2:53
Apply Copilot to automatically restructure and clean up your code for improved readability and maintainability.
How GitHub Copilot can help with SDLC management8:05
Discover how GitHub Copilot can integrate into and enhance various stages of the Software Development Lifecycle.
Limitations of using GitHub Copilot5:55
Explore the core concepts and practical applications related to: Limitations of using GitHub Copilot.
How to use the productivity API to see how GitHub Copilot impacts coding5:30
Learn to use the API to measure and quantify the positive impact of GitHub Copilot on your coding efficiency.
Do a Quick Knowledge Check

Introduction: You Can Feel Confident with Tests0:30
Learn how Copilot assists in writing, improving, and validating tests to ensure code reliability.
How to add unit tests, integration tests, and other test types to your code14:17
Master the techniques for using Copilot to generate comprehensive unit, integration, and other test types.
How identify edge cases and suggesting tests to address them4:28
Utilize Copilot to proactively find potential failure points and suggest tests to cover them.
Different SKUs and the privacy considerations for GitHub Copilot5:55
Compare the various product tiers and their respective implications for data privacy and security.
Different code suggestion configuration options on the organization level2:57
Learn how to manage and customize Copilot's code suggestion behavior at the organizational level.
Custom Instructions in Copilot Explained4:11
Understand the purpose and function of custom instructions for tailoring Copilot's behavior to your needs.
Create Your Own Custom Instructions6:17
A hands-on guide to defining and implementing your own personalized custom instructions for Copilot.
Overview Community Popular Custom Instructions10:47
Review a selection of highly-effective custom instructions shared by the wider developer community.
Custom Instructions Templates for Developers0:44
Do a Quick Knowledge Check

Introduction: You Can Be a Trusted AI Developer0:28
Develop the mindset and skills needed to apply AI tools professionally and responsibly in real projects.
Enhance code quality through testing3:58
Use GitHub Copilot to strengthen code quality by generating and refining meaningful tests.
Leverage GitHub Copilot for security and performance4:34
Apply Copilot to identify security risks and performance improvements during development.
Identify content exclusions4:37
Understand what content GitHub Copilot may exclude and how those exclusions affect code generation.
Safeguards5:09
Learn the safeguards built into GitHub Copilot and how to apply them effectively in your workflow.
Troubleshooting6:11
Diagnose and resolve common issues when Copilot’s suggestions are incorrect, incomplete, or misleading.
Do a Quick Knowledge Check

Introduction: You Can Build This with Copilot0:29
Bring everything together by confidently building solutions using GitHub Copilot from start to finish.
Introduction to Your First Copilot Project2:05
Kick off your practical project by setting the stage for building a real-world application with Copilot.
App Overview — See What We’ll Build3:28
Get a complete preview of the final Calculator application you will be building throughout this section.
Popular Approaches to Build App with Copilot6:22
Compare different strategies for using Copilot to guide and accelerate the application development process.
Prompts and Materials for Calculator App3:35
Access all the necessary prompts and starting materials required to begin the Calculator project.
Create Development Plan for Copilot7:46
Learn to structure a clear, step-by-step development plan that Copilot can effectively follow.
Build the Calculator App from the Plan8:33
Execute the development plan, using Copilot to generate the core logic and functionality of the calculator.
Style the Calculator for a Modern Look7:58
Use Copilot to generate CSS and styling to give your calculator a professional and modern user interface.
Add Input Limits and Thousands Formatting9:15
Implement advanced features like input validation and user-friendly number formatting with Copilot's help.
Replace Custom Logic with a Formatting Library6:30
Refactor your code by having Copilot suggest and integrate a standard library for number formatting.
Write and Run Unit Tests with Copilot11:37
Use Copilot to automatically generate and execute unit tests to ensure your calculator is bug-free.
Generate Project Documentation with AI3:20
Conclude the project by using Copilot to create comprehensive documentation for the entire application.

Requirements

Basic understanding of programming concepts.
No experience with GitHub Copilot is required.

Description

This course contains the use of artificial intelligence.

This course gives you a practical, step-by-step path to using GitHub Copilot safely and effectively in real development work. You will learn about Responsible AI, how GitHub Copilot works and handles data, and how to set it up and use it across different coding tasks.

Through focused modules on Prompt Engineering, testing, privacy fundamentals, and real developer use cases, you will see how to integrate Copilot into your full development lifecycle.

You will finish by building and testing a complete web app with GitHub Copilot, so you can apply what you learned immediately.

What's in this course?

Responsible AI – Explains Responsible AI concepts, risks, limitations, ethical use, and how to validate and mitigate issues when working with generative AI.
GitHub Copilot Plans and Features – Shows you GitHub Copilot plans, privacy, setup in VS Code, core features like completions and chat modes, and how to use them in real coding tasks.
How GitHub Copilot Works and Handles Data – Covers the data pipeline lifecycle, how Copilot processes and uses data, and the main limitations of Copilot and other LLMs.
Prompt Crafting and Prompt Engineering – Teaches you what Prompt Engineering is, how context and chat history work, and how to design effective prompts and Prompt Files for better results.
Developer Use Cases for AI – Demonstrates practical Copilot use cases such as learning new languages, debugging, refactoring, SDLC management, documentation, and understanding its limits and impact on productivity.
Testing with GitHub Copilot – Guides you on using Copilot to add tests, find edge cases, configure privacy options, and create and use Custom Instructions and templates.
Privacy Fundamentals and Context Exclusions – Introduces how to enhance code quality and security with Copilot, manage content exclusions, use safeguards, and troubleshoot issues.
Practice Session: Build a Calculator with GitHub Copilot – Walks you through planning, building, styling, testing, and documenting a Calculator app using prompts, Copilot features, and best practices.

This Course includes

Theory and Practice: Lectures with many practical examples (3-10 min lessons duration).
Downloadable Resources: May include PDF guides, project files, and practical examples for hands-on learning.
Source Code Examples: Full access to source code for all projects and exercises (practice on your own).
Udemy Certificate: which you will receive after completing the course.
Support: If you have any questions, we will always be willing to answer them.

Meet your instructor!

Dmytro Vasyliev - Senior Front-end Engineer with more than 10 years of professional experience in developing complex Web Applications. I have extensive experience with React and other frameworks, having used it in various projects to build dynamic and efficient user interfaces.

Do you need to be concerned?

This course comes with a 30-day money-back guarantee.

Join our course today to learn how to build your first application in React!

Who this course is for:

Developers and Software Engineers who want to boost productivity with AI Tools.
Testers, Tech Leads, and Engineering Managers who want to understand AI-assisted Development, Testing, and SDLC Management.
Teams and Freelancers who want to add AI-Assisted Coding into their Daily Workflows.
Students and Beginners who want to learn GitHub Copilot from scratch.
Anyone curious about how to use GitHub Copilot in Real Projects.

What you'll learn

Explore related topics

Course content

Course Introduction3 lectures • 7min

Domain 1. Responsible AI (7%)9 lectures • 36min

Domain 2: GitHub Copilot Plans and Features (31%)16 lectures • 1hr 47min

Domain 3: How GitHub Copilot Works and Handles Data (15%)4 lectures • 16min

Domain 4: Prompt Crafting and Prompt Engineering (9%)19 lectures • 1hr 23min

Domain 5: Developer Use Cases for AI (14%)16 lectures • 1hr

Domain 6: Testing with GitHub Copilot (9%)9 lectures • 50min

Domain 7: Privacy Fundamentals and Context Exclusions (15%)6 lectures • 25min

Practice Session: Build a Calculator with GitHub Copilot12 lectures • 1hr 11min

VIBE CODING SKILLS: Learn Vibe Coding for Development1 lecture • 1hr

Requirements

Description

Who this course is for: