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GH-300: Github Copilot – Complete Exam Preparation Guide (Udemy.com)

Master GitHub Copilot for GH-300 Certification: Prompt Engineering, AI Coding and Testing from Beginner to Pro

Created by: Anton Voroniuk

Last updated April 2026

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What you will 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.

How it compares

Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:

  • Rating4.5 out of 5higher than 43% of them
  • Reviews508#413 of 849 by number of reviews
  • Length8.6 hourslonger than 51% of them
  • Last updatedApril 2026more recently than 59% of them

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Course 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!

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Instructor Details

Anton Voroniuk

Hi, I’m Anton Voroniuk, and I’m here to help you unlock the power of AI and digital marketing. Over the past 17 years, I’ve trained over 1,000,000 students worldwide as a Google Academy Trainer and AI enthusiast.

My passion for AI has been a long journey. Since 2017, I’ve worked with Google and Facebook as a Premier Partner Agency, staying ahead of the curve in AI-driven marketing. I’m also Google Cloud Certified as a Generative AI Leader, which recognizes my expertise in applying cutting-edge AI tools to real-world business challenges.

That passion led me to create SkillsBooster Academy, a place where professionals like you can learn how to use AI to save time, grow your business, and achieve your goals faster.

If you’re ready to master AI and stay ahead of the competition, join me at SkillsBooster Academy. Let’s take your skills to the next level and see you in the next course!



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Reviews

4.5

508 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Aurelian Rosca on 10/1/2026

I found valuable information such as https://github.com/github/awesome-copilot, and the course is complementary with the gh-300 documentation from microsoft website.

By Manisankar Santra on 6/30/2026

I would rate the course 4.5/5. It’s an excellent resource for developers who want to leverage AI in their daily workflow. The only improvement could be adding more real-world project examples to showcase Copilot in enterprise-scale applications.

By Prem Kumar Selvan on 6/13/2026

Content was good and points are useful. One honest feedback is feeling sleepy during session. May be need some more energy from the presenter and boost audience energy too.

By G V Vimal on 5/3/2026

It is a good course to start with for certification, and the important topics are well covered. I would just like to suggest one improvement—adding real-world practice questions aligned with the GH300 certification would make it a perfect package.

By Manuel Gomez on 2/25/2026

Really liked the way the course was set up, perhaps you guys could add some updates because some of the examples didn't apply to my particular IDE.

By William MEGEL on 1/27/2026

There are several courses that are redundant. Sometimes we don't go into enough detail and the quizzes are pointless because the correct answer is always way too simple.

By Oleksandr Bohinskyi on 12/1/2025

Hey Dmytro, just finished your Master GitHub Copilot for GH-300 Certification course and wow – it’s easily the best Copilot prep out there! I’ve already done a bunch of your other courses, and this one tied everything together perfectly. The responsible AI + privacy sections were super solid (finally feel confident about the exam questions), and the prompt-engineering part with custom instructions and prompt files was real useful for me. Loved building the calculator app step-by-step with Copilot – the unit testing section alone was also helpful for practicing. Thanks again

By Yevhen on 12/1/2025

Concise, well-organized, and very helpful. Highly recommended for anyone studying for GH-300.

By Anna on 11/30/2025

A truly helpful and well-structured practical course that makes the certification process much easier.

By Mykola Stepanets on 11/30/2025

Course was easy to follow and very practical. I especially liked the part where we built a calculator using AI — it helped me clearly see how GitHub Copilot can assist in writing real code, not just simple snippets. Great course for anyone who wants to actually understand how to work with AI in development!

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Overall Score : 90 / 100