The GitHub Copilot Training course is designed for professionals who want to incorporate generative AI into software development, improve coding efficiency, and use AI-powered development tools responsibly.

Through this training, participants will:

Learn to use GitHub Copilot to accelerate code generation, code analysis, debugging, and refactoring.
Develop Prompt Engineering skills to obtain more relevant and effective coding suggestions.
Explore how Copilot Chat, Agent Mode, and Cloud Agent can support the automation of software development tasks.
Apply AI-assisted capabilities to unit testing, code reviews, and pull request workflows.
Understand how to reduce ethical, security, and operational risks by applying responsible AI principles.

The GitHub Copilot Training course examines how GitHub Copilot, a generative AI-powered coding assistant, can be used effectively throughout software development activities.

The course helps participants develop the knowledge and skills needed to use Copilot for code generation, code understanding, refactoring, debugging, and test development.

Participants will explore capabilities such as Copilot Chat, Prompt Engineering, Copilot Spaces, Agent Mode, Cloud Agent, and Model Context Protocol (MCP). The training also demonstrates how GitHub Copilot can be used across different development environments and incorporated into the Software Development Life Cycle (SDLC).

An important part of the programme focuses on understanding and reducing the ethical and operational risks associated with generative AI tools. Participants will examine Microsoft and GitHub's six principles of responsible AI, alongside approaches to responsible usage and governance.

By exploring both foundational and advanced Copilot capabilities, learners will gain an understanding of how AI-assisted development can help increase productivity, reduce repetitive tasks, and improve code quality.

Exams and Assessments

The GH-300 exam associated with this training is available separately.

The GH-300 examination can be taken independently of the course.

For corporate groups, we can organize this training as an on-site private group.

Prerequisites

There are no specific technical prerequisites for this course. However, participants are expected to have a basic understanding of software development.

Important: Learners must provide their own GitHub Copilot Free licence for use during the training.

You can register for a free GitHub Copilot plan using the following link:

GitHub Copilot Plans: https://github.com/features/copilot/plans

Who Should Attend

This course is suitable for professionals interested in using AI technologies in software development and understanding responsible AI practices.

AI Developers and Engineers: Professionals involved in building and deploying AI systems who need to understand ethical implications and governance frameworks.
Data Scientists and Analysts: Specialists focusing on transparency, fairness, and accountability in AI models.
Business Leaders and Managers: Individuals overseeing AI initiatives and responsible for implementing responsible AI practices.
Policy Makers and Regulators: Professionals developing policies, standards, and regulations relating to AI usage.

What You Will Learn

By the end of this course, participants will be able to:

Use GitHub Copilot effectively across different software development environments.
Apply AI-assisted capabilities for code generation, code analysis, refactoring, and debugging.
Develop effective instructions using Prompt Engineering techniques to improve coding suggestions.
Incorporate Copilot Chat and Copilot Spaces into development workflows.
Use Agent Mode and Cloud Agent to support the automation of development tasks.
Understand how MCP Server enables GitHub capabilities to integrate with AI-powered tools.
Apply Copilot features to unit testing, code reviews, and pull request workflows.
Use GitHub Copilot in JavaScript and Python development scenarios.
Evaluate productivity improvements achieved through AI-assisted software development.
Identify and mitigate ethical and operational risks associated with AI usage.
Explain and apply Microsoft and GitHub's six principles of responsible AI.
Understand the fundamental principles of responsible generative AI usage in software development.

Training Outline

1. Responsible Use of AI with GitHub Copilot

Introduction to responsible AI in the context of GitHub Copilot
Understanding and mitigating risks associated with AI usage
Exploring Microsoft and GitHub's six principles of responsible AI

2. Introduction to GitHub Copilot

Understanding GitHub Copilot as an AI-powered coding assistant
Generating, understanding, refactoring, and debugging code
Working with inline code suggestions and the conversational Copilot Chat experience

3. Introduction to Prompt Engineering with GitHub Copilot

Developing effective prompts for coding tasks
Converting code comments into actionable code
Applying advanced Prompt Engineering strategies

4. Introduction to Copilot Spaces

Creating, configuring, and working with Copilot Spaces
Managing sharing, discoverability, and governance
Applying best practices when working within a Space

5. Using Advanced GitHub Copilot Features

Exploring advanced Copilot capabilities through a Python application
Configuring GitHub Copilot in Visual Studio Code
Applying practical Copilot development techniques

6. GitHub Copilot Across Environments

Using Copilot in IDEs, chat interfaces, GitHub.com, command-line environments, and the Copilot app
Working with AI-assisted coding and natural-language conversations
Improving command-line productivity with Copilot

7. Management and Customisation Considerations with GitHub Copilot

Exploring GitHub Copilot plans and administrative capabilities
Understanding contractual protections and disabling suggestions that match public code
Managing content exclusions and troubleshooting configuration issues

8. Developer Use Cases for AI with GitHub Copilot

Improving developer productivity through AI-assisted workflows
Enhancing the Software Development Life Cycle (SDLC)
Measuring productivity improvements achieved through AI tools

9. Developing Unit Tests Using GitHub Copilot Tools

Creating unit tests with GitHub Copilot and Copilot Chat
Planning and automating testing workflows
Extending existing tests and resolving test issues

10. Building Applications with GitHub Copilot Agent Mode

Using Agent Mode to perform autonomous development tasks
Managing, updating, and improving code through iterative development

11. Accelerating Development with GitHub Copilot Cloud Agent

Assigning and tracking development tasks through Copilot Cloud Agent
Customising Cloud Agent and validating its outputs
Applying responsible usage practices when working with Cloud Agent

12. Introduction to MCP Server

Integrating GitHub capabilities into AI tools through Model Context Protocol (MCP) Server
Configuring and using MCP Server in Visual Studio Code
Connecting MCP Server with Copilot Chat

13. Improving Code Reviews and Pull Requests with GitHub Copilot

Enhancing code review processes and supporting development best practices
Automating code reviews and evaluating their impact

14. Using GitHub Copilot with JavaScript

Configuring GitHub Copilot for JavaScript development
Using Copilot to update JavaScript portfolio projects

15. Using GitHub Copilot with Python

Setting up GitHub Copilot for Python development
Using Copilot to update Python web APIs

Why Choose Us

Leading UK-based global training provider since 1995.

Experience GitHub Copilot in United Arab Emirates through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from United Arab Emirates or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience GitHub Copilot through face-to-face Classroom Based training in United Arab Emirates. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange GitHub Copilot in United Arab Emirates as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in United Arab Emirates or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.