Remote Course for GH-300T00-A: GitHub Copilot

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Description
Content
Target Audience
Certificates

This course introduces learners to GitHub Copilot, a generative AI tool that assists developers by suggesting code in real time. Designed for professionals working with AI, software development, and governance, the course explores how Copilot enhances productivity while addressing ethical and operational risks. Participants will learn how to:

Use GitHub Copilot in IDEs and GitHub.com
Understand how Copilot generates and suggests code
Apply Copilot across different programming languages and use cases
Evaluate AI-generated code for accuracy, security, and bias
Implement responsible AI practices in development workflows

The course includes hands-on labs and guided modules that help learners integrate Copilot into their daily work while maintaining transparency, fairness, and accountability.

Learning Path 1: GitHub Copilot Fundamentals (Part 1 of 2)

Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects.

In this learning path, you’ll:

Gain a comprehensive understanding of the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise
Understand how to utilize GitHub Copilot across various environments responsibly and securely
Learn advanced functionalities of GitHub Copilot and how to best use them

Modules included:

Module 1: Introduction to GitHub Copilot
Learn what GitHub Copilot is, its AI-powered capabilities, and how it integrates with different IDEs. Understand the value it brings to developers, including productivity gains and code quality improvement.

Module 2: Getting Started with Copilot
Set up GitHub Copilot in Visual Studio Code. Explore the basics of AI-assisted coding, including accepting, modifying, and navigating suggestions. Learn how to configure the tool for your individual development environment.

Module 3: Working with Code Suggestions
Understand how inline suggestions are generated and presented. Learn techniques to evaluate, accept, or refine Copilot’s code suggestions and optimize workflow efficiency.

Module 4: Using Copilot for Different Programming Languages
Discover how Copilot adapts to multiple programming languages and frameworks. Gain practical experience with language-specific suggestions and see examples across Python, JavaScript, and other commonly used languages.

Module 5: Writing Functions and Tests with Copilot
Learn to leverage Copilot to generate complete functions and automate unit tests. Explore best practices for writing reusable, clean, and testable code with AI assistance.

Module 6: Best Practices and Limitations
Explore responsible AI use, including ethical considerations and security best practices. Understand Copilot’s limitations and learn strategies to maximize effectiveness while avoiding potential pitfalls.

Learning Path 2: GitHub Copilot Fundamentals (Part 2 of 2)

Continue exploring GitHub Copilot to enhance productivity, team collaboration, and business processes. Apply advanced techniques and explore real-world use cases for individuals and enterprise teams.

In this learning path, you’ll:

Gain a comprehensive understanding of Copilot tiers: Individuals, Business, and Enterprise
Learn to use Copilot responsibly across various environments
Apply advanced functionalities to real-world development projects

Modules included:

Module 1: Developer Use Cases for AI with GitHub Copilot
Explore real-world scenarios where Copilot accelerates development, improves code quality, and supports team productivity. Learn how organizations leverage AI to enhance collaboration and reduce manual coding effort.

Module 2: Developing Unit Tests using Copilot Tools
Learn to automatically generate unit and integration tests using Copilot. Understand how AI-assisted testing can improve coverage, detect issues early, and streamline development workflows.

Module 3: Introduction to GitHub Copilot Business
Understand the features and management options for Copilot in a business environment. Learn how teams can collaborate more efficiently while maintaining security and compliance standards.

Module 4: Introduction to GitHub Copilot Enterprise
Discover advanced enterprise-level features, governance, and compliance capabilities. Learn how large organizations manage multiple teams, control usage, and ensure responsible AI practices.

Module 5: Using GitHub Copilot with JavaScript
Hands-on guidance for integrating Copilot into JavaScript development. Explore examples, best practices, and workflow tips for enhancing productivity with AI-assisted coding.

Module 6: Using GitHub Copilot with Python
Learn to leverage Copilot for Python projects. Generate code, automate tests, and improve workflow efficiency while understanding language-specific behaviors and features.

Learn to leverage Copilot for Python projects, generating code, tests, and improving workflow efficiency.

Audience Profile

AI Developers and Engineers: Professionals involved in creating and deploying AI systems who need to understand the ethical implications and governance frameworks.
Data Scientists and Analysts: Individuals who work with data and AI models, focusing on ensuring transparency, fairness, and accountability in their work.
Business Leaders and Managers: Decision-makers who oversee AI projects and need to implement responsible AI practices within their organizations.
Policy Makers and Regulators: Those responsible for creating policies and regulations around AI usage, ensuring that AI systems are developed and used ethically and safely.

Certification Overview

After completing the GH‑300T00: GitHub Copilot course, learners earn a Microsoft Certification, which officially recognizes their ability to effectively use GitHub Copilot and apply AI-assisted coding in real-world development scenarios.

This certification validates skills such as:

Integrating Copilot into IDEs, Chat, and CLI
Crafting effective prompts for AI-assisted coding
Generating code and tests using Copilot
Applying responsible AI practices, governance, and compliance
Managing Copilot for individual, business, and enterprise environments

Description

Use GitHub Copilot in IDEs and GitHub.com
Understand how Copilot generates and suggests code
Apply Copilot across different programming languages and use cases
Evaluate AI-generated code for accuracy, security, and bias
Implement responsible AI practices in development workflows

The course includes hands-on labs and guided modules that help learners integrate Copilot into their daily work while maintaining transparency, fairness, and accountability.

Content

Learning Path 1: GitHub Copilot Fundamentals (Part 1 of 2)

In this learning path, you’ll:

Gain a comprehensive understanding of the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise
Understand how to utilize GitHub Copilot across various environments responsibly and securely
Learn advanced functionalities of GitHub Copilot and how to best use them

Modules included:

Learning Path 2: GitHub Copilot Fundamentals (Part 2 of 2)

Continue exploring GitHub Copilot to enhance productivity, team collaboration, and business processes. Apply advanced techniques and explore real-world use cases for individuals and enterprise teams.

In this learning path, you’ll:

Gain a comprehensive understanding of Copilot tiers: Individuals, Business, and Enterprise
Learn to use Copilot responsibly across various environments
Apply advanced functionalities to real-world development projects

Modules included:

Learn to leverage Copilot for Python projects, generating code, tests, and improving workflow efficiency.

Target Audience

Audience Profile

AI Developers and Engineers: Professionals involved in creating and deploying AI systems who need to understand the ethical implications and governance frameworks.
Data Scientists and Analysts: Individuals who work with data and AI models, focusing on ensuring transparency, fairness, and accountability in their work.
Business Leaders and Managers: Decision-makers who oversee AI projects and need to implement responsible AI practices within their organizations.
Policy Makers and Regulators: Those responsible for creating policies and regulations around AI usage, ensuring that AI systems are developed and used ethically and safely.

Certificates

Certification Overview

This certification validates skills such as:

Integrating Copilot into IDEs, Chat, and CLI
Crafting effective prompts for AI-assisted coding
Generating code and tests using Copilot
Applying responsible AI practices, governance, and compliance
Managing Copilot for individual, business, and enterprise environments

Our students for us:

- Angela Petreska Accredited Academy for Interior Design

The three things that left the biggest impression on me are the excellent communication with the entire team at Semos Education, the experienced instructors who possess vast knowledge and convey it to us in a fun and professional manner, and of course, the camaraderie within our group.
- Hristo Gigovski Student at the Accredited JavaScript Academy

At Semos Education, the material is delivered through practical work by excellent instructors who selflessly share their knowledge. Thanks to all of this, along with my dedication, I have gained a solid foundation and knowledge that finally enabled me to pursue what I found myself in.
- Viktorija Nakjevska Accredited Academy for Human Resources

All shared experiences, both from the instructors and the students at Semos Education, were my best guidance. When theory and practice come together in one place, the benefit is enormous.