- Risks and limitations of generative AI tools.
- Ethical and responsible AI use, and the harms to watch for.
- Why you must validate AI output before you ship it.
- How to operate GitHub Copilot responsibly on a team.
GitHub Certification Training Course
GitHub Copilot (GH-300) Certification Training Course
Get real productivity from GitHub Copilot, roll it out safely to your team, and get ready for the GitHub Copilot (GH-300) exam with Accumentum’s live online training.
Course focus: Use GitHub Copilot responsibly across the IDE, chat, CLI and agent mode, write better prompts, configure privacy and policy settings, and prepare for the GitHub Copilot (GH-300) exam.
Course Overview
Use GitHub Copilot well and roll it out to your team with the right guardrails.
Most teams have turned GitHub Copilot on. Far fewer use it well. This course is for developers who want better results from Copilot and for the leads who have to roll it out across a team. We cover how Copilot works, how to prompt it, and how to set the policies that keep it safe.
The course follows the official GH-300 skills outline. You will use Copilot in the IDE, in chat, in the CLI and in agent mode, work with MCP, code review and instructions files, and learn how Copilot handles your data. We also cover content exclusions, public code filtering and organization-wide policy.
By the end you will write better prompts, check Copilot’s output with a critical eye, and know which settings to turn on for your organization. You will also be ready to sit the GitHub Copilot exam.
Course Objectives
Build GitHub Copilot skills and GH-300 exam readiness.
01
Responsible AI Use
Understand the risks and limits of generative AI and why every Copilot suggestion needs to be checked.
02
Copilot Features
Use Copilot in the IDE, chat, CLI and agent mode, plus code review, Spaces and pull request summaries.
03
Prompting and Productivity
Write clear prompts with the right context and use Copilot for code, tests, refactoring and documentation.
04
GH-300 Exam Readiness
Cover all six domains in the official GH-300 skills outline, including data handling, privacy and organization policy.
Who Should Attend
- Developers who use GitHub Copilot every day and want more accurate, useful results.
- Tech leads and engineering managers rolling out Copilot to a team and setting the policies around it.
- DevOps engineers who automate work with the Copilot CLI and agent features.
- App makers and technology managers who need to understand what Copilot does with code and data before they approve it.
Prerequisites
- There are no formal prerequisites for the GH-300 exam or for this course.
- GitHub recommends reviewing the related Microsoft Learn modules before the exam. We cover the same skills in class.
- You should know GitHub fundamentals and have experience with at least one programming language.
- Access to GitHub Copilot will help you practice between sessions.
Pathway Map
The GitHub Copilot course follows the six GH-300 skill domains.
Each module maps to an official exam domain and its published weight, from responsible AI to the settings that protect your code.
Course Content
- Enabling Copilot in the IDE and using inline suggestions, chat and agent mode.
- Installing and using the Copilot CLI to run sessions, generate scripts and manage files.
- Agent Mode, Copilot Edits, MCP, agent sessions, sub-agents, code review, Spaces, Spark and pull request summaries.
- Organization-wide policies, Copilot Code Review policies, audit log events and managing subscriptions with the REST API.
- How data is used, where it flows and what is shared.
- How Copilot processes input and builds a prompt.
- Proxy filtering and post-processing of suggestions.
- The code suggestion lifecycle and the limits of LLMs and Copilot.
- Prompt structure and how Copilot decides what context to use.
- Zero-shot and few-shot prompting.
- Best practices for writing prompts that get useful answers.
- The prompt process flow and how chat history is used.
- Code generation, refactoring and documentation with Copilot.
- Learning faster, cutting context switching, generating sample data and modernizing legacy code.
- Writing unit and integration tests, finding edge cases and writing assertions.
- Getting suggestions for security improvements and performance fixes.
- Setting content exclusions and editor settings.
- Ownership of Copilot output and its limitations.
- Turning on filtering for suggestions that match public code.
- Fixing problems with suggestions and content exclusions.
Course Features
Built for practical GitHub Copilot training and GH-300 exam prep.
Interactive Learning
Participate in training sessions, discussions, and hands-on labs with experienced instructors.
Comprehensive Study Materials
Access extensive resources, including e-books, video lectures, and practice exams.
Practical Scenarios
Engage in real-world exercises and case studies to apply GitHub Copilot concepts.
Certification Preparation
Receive guidance and tips to successfully pass the GitHub Copilot exam.
Certification Exam
Prepare for the official GitHub Copilot exam.
GH-300 Exam Readiness
Accumentum’s GitHub Copilot course follows the official GH-300 skills outline and prepares you for every domain on the exam.
After the course you will be ready to take the official GitHub Copilot (GH-300) exam. GitHub describes it as an exam that evaluates your skill using Copilot across programming languages to make software development workflows more efficient.
The exam is intermediate level and runs 100 minutes. You can take it at a Pearson VUE testing center or online, in English, Portuguese, Spanish, Korean or Japanese. A score of 700 or higher is required to pass.
The certification is valid for 2 years. GitHub is moving to Microsoft’s recertification process, which will let you keep your certification current without retaking the full exam.
Frequently Asked Questions
Answers to common questions about Accumentum’s GitHub Copilot course, the GH-300 exam, eligibility, delivery and payment.
It shows you can use GitHub Copilot to improve how you build software, including responsible AI use, prompt engineering, Copilot features across plans and privacy safeguards. The exam code is GH-300.
Developers and tech leads who use Copilot or are rolling it out to a team. App makers, DevOps engineers and technology managers also fit the official audience for the exam.
There are no formal prerequisites. You should know GitHub fundamentals and have experience with at least one programming language. GitHub recommends reviewing the related Microsoft Learn modules first.
Six domains: use GitHub Copilot responsibly (15 to 20%), use GitHub Copilot features (25 to 30%), Copilot data and architecture (10 to 15%), prompt engineering and context crafting (10 to 15%), developer productivity (10 to 15%), and privacy, content exclusions and safeguards (10 to 15%).
The exam runs 100 minutes. You can take it at a Pearson VUE testing center or online. It is offered in English, Portuguese, Spanish, Korean and Japanese.
You need a score of 700 or higher.
It is valid for 2 years. GitHub is moving to Microsoft’s recertification process, which will let you renew without retaking the full exam.
The course is delivered live online by an instructor, with hands-on practice in GitHub between sessions.
Yes. PathPay lets you pay for your training over time instead of all at once. You can enroll through PathPay from this page or contact us with any questions.
Enrollment
Enroll in the GitHub Copilot (GH-300) Certification Training Course with Accumentum.
Enroll in the GitHub Copilot (GH-300) Certification Training Course with Accumentum to learn how to use Copilot well and roll it out safely. You will cover every GH-300 domain, from responsible AI and Copilot features to prompt engineering, data handling and privacy settings.
When you finish, you will be ready to sit the GitHub Copilot exam and help your team get real value from the tool. For upcoming class dates and to save your seat, use the registration page linked below.
Get more out of GitHub Copilot with GH-300 training.
Prepare for the GitHub Copilot (GH-300) exam, write better prompts, and roll Copilot out to your team with the right guardrails.