GitHub Copilot certification is an intermediate credential validating skills in AI assisted coding, prompt engineering, responsible AI use, data privacy and managing Copilot across business plans.
GitHub Copilot Training to Pass the GH-300 Certification Exam
GitHub Copilot Certification
The GitHub Copilot certification training course teaches developers to use AI assisted coding well, from writing effective prompts to reviewing and validating what Copilot produces. It suits people who already work with code and want to prove they can get real productivity from Copilot without cutting corners on quality or security.
This is an intermediate course. You should be comfortable with coding and everyday GitHub use before you start, and if you are newer to the platform it helps to complete the GitHub Foundations certification training first.
Who this course suits
It is a strong fit for software developers, DevOps and platform engineers, QA and test engineers, technical leads and AI practitioners who are bringing Copilot into their workflow. Managers who set Copilot policy for a team also take it to understand plans, governance and responsible AI.
What you will cover
You will work through responsible AI principles, prompt engineering, Copilot across IDEs, chat and the command line, code generation, testing and refactoring, data handling and privacy, content exclusions, and the differences between the Individual, Business and Enterprise plans. The training maps to the official exam objectives, including the January 2026 additions, so you finish ready to sit and pass. It pairs naturally with our artificial intelligence courses and the wider set of Microsoft certification courses.
The official certification exam is included in your course fee, so there is nothing extra to pay to become certified.
The GitHub Copilot certification proves you can use AI assisted development responsibly and get measurable productivity from it. It shows employers you understand not just how to prompt Copilot, but how it handles data, where its limits are, and how it is governed across the Individual, Business and Enterprise plans.
With Logitrain the official exam is included in the course fee and there are no hidden costs. You receive digital course material, learn from skilled trainers, and are backed by our price beat guarantee. Study in person in Melbourne, Sydney and Brisbane, or live online anywhere in Australia, and sit your exam at any Pearson VUE test centre or online through Pearson VUE proctoring.
There are no formal prerequisites for this course, but it is pitched at an intermediate level. You will get the most from it if you already write code and use GitHub day to day.
Some hands-on experience with GitHub Copilot in an editor such as VS Code or JetBrains is helpful, along with a stable internet connection for the cloud based AI features. If you are new to GitHub itself, start with the GitHub Foundations certification training before taking this course.
Candidates can achieve this certification by passing the following exam.
- GH-300, GitHub Copilot, GitHub Certified: GitHub Copilot certification
You can book and sit the exam within three months of finishing your course. Sit it at any Pearson VUE test centre, or online through Pearson VUE online proctoring from a private space.
Exam format: a maximum of 65 multiple choice and scenario based questions, 100 minutes, with a passing score of 700 on a scale of 100 to 1000.
Your GH-300 GitHub Copilot course material is included in digital format for easy reference during and after the course.
- Apply responsible AI principles when using generative coding tools
- Explain how GitHub Copilot works and where its limits are
- Write effective prompts using zero shot and few shot techniques
- Generate, complete and refactor code with Copilot
- Create and run unit tests with Copilot assistance
- Review, validate and debug Copilot suggestions
- Use Copilot across IDEs, chat and the command line
- Compare the Individual, Business and Enterprise plans
- Understand how Copilot handles data, context and privacy
- Configure content exclusions and manage metadata
- Set organisation policies, audit logs and governance controls
- Apply Copilot to real developer use cases across languages
- Software developers and programmers
- DevOps and platform engineers
- QA and test engineers
- Technical leads and solution architects
- AI and machine learning practitioners
- Engineering managers setting Copilot policy for a team
- Developers preparing for the GitHub Copilot certification
- What generative AI is and how large language models assist coding
- Responsible AI principles: risks, bias, fairness and transparency
- Limitations of AI generated code and where human review is needed
- What GitHub Copilot is and how it fits the development workflow
- Setting up Copilot in Visual Studio Code and JetBrains
- Copilot code completions and inline suggestions
- Using Copilot Chat for explanations and guidance
- Ask, Edit and Agent modes
- Introduction to prompt engineering
- Zero shot and few shot prompting techniques
- Writing clear, context rich prompts for better results
- Refining and iterating on prompts
- Using advanced Copilot features
- Copilot across environments: IDE, chat and command line
- Copilot command line techniques
- Model Context Protocol and connected tools
- Copilot Spaces and Sub-Agents for context management
- Management and customisation considerations
- How Copilot processes data, context and prompts
- Privacy, data handling and retention
- Configuring content exclusions
- Managing metadata and context boundaries
- Developer use cases: code generation and completion
- Refactoring and improving existing code
- Generating documentation with Copilot
- Developing unit tests with Copilot
- Debugging and validating Copilot output
- Comparing Copilot Individual, Business and Enterprise plans
- Introduction to GitHub Copilot Business
- Introduction to GitHub Copilot Enterprise
- Organisation policy settings and audit logs
- Governance, compliance and enterprise controls
- Using GitHub Copilot with JavaScript
- Using GitHub Copilot with Python
- Exam preparation: domains, practice questions and scenarios
- GH-900 GitHub Foundations course the recommended starting point if you are newer to Git and GitHub.
- Artificial intelligence courses related AI and machine learning training to broaden your skills.
- DevOps training courses a natural next step for automating build and delivery pipelines.
- Programming courses core coding skills that Copilot builds on.
- Microsoft certification courses the full Microsoft category this course belongs to.
- Developer and Programmer Job Ready Program training, certifications, internship and career counselling for people moving into a coding role.
Got a team to train? Logitrain can deliver the GitHub Copilot course in house at your premises anywhere in Australia, with the same skilled trainer, digital course material, mock test and the official exam that the public courses include. It suits teams who want everyone certified together on dates that suit the business. To arrange in-house GitHub Copilot training, get in touch with Logitrain.
What is the GitHub Copilot certification?
GitHub Copilot certification is an intermediate credential that shows you can use AI assisted coding effectively and responsibly. It covers prompt engineering, code generation and testing, reviewing Copilot output, data privacy, and managing Copilot across the Individual, Business and Enterprise plans.
Is the exam included in the course?
Yes. The official certification exam is included in your course fee, so there is nothing extra to pay to become certified. You can book and sit it within three months of finishing your course.
Do I need experience before taking the GitHub Copilot course?
There are no formal prerequisites, but the course is intermediate. You will get the most from it if you already write code and use GitHub regularly. If you are new to GitHub, start with the GitHub Foundations course first.
How long is the GitHub Copilot course?
The course runs for 3 days full time on weekdays, or 3 weeks part time if you prefer weeknight or weekend study.
Where can I take the GitHub Copilot course?
You can attend in person in Melbourne, Sydney, Brisbane, Adelaide, Perth and Canberra, or join live online anywhere in Australia. Every session is delivered live in real time with a trainer.
Is the GitHub Copilot certification worth it?
For developers using AI tools at work, yes. It validates that you can use Copilot productively and responsibly, understand its data handling and limits, and manage it across team and enterprise plans, which is increasingly what employers look for.
Which GitHub course should I take first?
If you are new to GitHub, take GitHub Foundations first to build the core Git and GitHub skills. Move on to the GitHub Copilot course once you are comfortable working with repositories and everyday GitHub workflows.
Are GitHub certifications free?
The certification itself is not free, as the official exam carries a fee. At Logitrain that official exam is included in the course fee, so it is covered as part of your training.

Take the certification exam within 3 months of each module completion

Take the official certification exam at Logitrain, a local VUE test centre or online

Course material in digital format is included for flexibility and ease of use

Mock test is included in the full-time courses to assist with your preparation

Our trainers are highly skilled with expertise and extensive hands-on experience

Relax, we will beat competitor’s advertised price. Our course has no extra costs
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The supply of this course/package/program is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions. Proposed course dates are given, course runs subject to availability and minimum registrations.

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