GH-300: GitHub Copilot Fundamentals

GH-300: GitHub Copilot Fundamentals

Course Description

Unlock the power of AI-assisted development with GH-300: GitHub Copilot Fundamentals. This instructor-led course introduces software developers, DevOps engineers, and technical teams to GitHub Copilot, the AI pair programmer that helps accelerate coding, improve productivity, and streamline development workflows.

Through real-world examples and hands-on guided exercises, you’ll learn how GitHub Copilot integrates with popular development environments, how to prompt effectively for AI code generation, and how to apply best practices to ensure security, accuracy, and maintainability. Whether you're writing boilerplate code or exploring new APIs, GitHub Copilot can help you code faster and smarter—this course shows you how.

Audience Profile

This course is designed for:

• Professional software developers and engineers seeking to boost productivity with AI coding tools.

• DevOps professionals interested in streamlining CI/CD workflows with AI assistance.

• Technical leads and architects evaluating GitHub Copilot for their development teams.

• Educators and learners who want to explore the capabilities of AI-powered code generation.

Familiarity with common programming languages (e.g., JavaScript, Python, C#, or TypeScript) and experience using GitHub is recommended.

Course Outline

Module 1: Introduction to GitHub Copilot

• Overview of GitHub Copilot and AI pair programming

• Understanding how Copilot works using Codex and OpenAI

• Use cases and business value of GitHub Copilot in development workflows

Module 2: Setting Up GitHub Copilot

• Prerequisites and licensing options

• Installing GitHub Copilot in Visual Studio Code, JetBrains IDEs, and other environments

• Navigating the user interface and configuration settings

Module 3: Prompting Techniques and AI Coding Best Practices

• Writing effective prompts for high-quality code suggestions

• Interacting with Copilot for boilerplate, testing, and documentation

• Leveraging inline suggestions, multi-line completions, and natural language inputs

Module 4: Advanced Copilot Features and Use Cases

• Using GitHub Copilot Chat for code explanation and refactoring

• Integrating Copilot with GitHub Actions and CI/CD pipelines

• Applying Copilot in open-source, enterprise, and cloud-native projects

Module 5: Responsible Use and Limitations of GitHub Copilot

• Understanding limitations, legal considerations, and data handling

• Mitigating code bias, licensing risks, and potential vulnerabilities

• Governance and compliance in regulated environments

Module 6: Optimizing Developer Productivity with GitHub Copilot

• Real-world productivity scenarios and benchmarks

• Measuring ROI and team impact with GitHub Copilot

• Scaling Copilot adoption across development teams

Hands-on Experience

This course includes 40% to 50% hands-on activities, allowing participants to practice real-time coding with GitHub Copilot, explore different development scenarios, and immediately apply what they’ve learned in a guided environment.