GitHub Copilot for Developers Training is a hands-on two-day program designed to help developers effectively use GitHub Copilot to accelerate coding, improve code quality, and streamline everyday development tasks. This course focuses on practical usage of Copilot for writing, understanding, testing, debugging, and refactoring code, enabling developers to integrate AI-assisted coding seamlessly into real-world software development workflows.

• Understand GitHub Copilot for developers
• Learn AI-assisted coding techniques
• Understand code generation workflows
• Gain knowledge of prompt-based development
• Learn debugging and refactoring concepts
• Understand test automation basics
• Explore developer productivity workflows
• Identify AI-driven development use cases

• Software developers and programmers
• Frontend, backend, and full-stack developers
• Junior to mid-level engineers
• DevOps and automation developers
• Computer science students and early-career professionals

• Basic understanding of programming concepts
• Familiarity with at least one programming language
• Experience using IDEs such as VS Code
• Awareness of Git or version control concepts is beneficial

• Using GitHub Copilot effectively for daily coding tasks
• Writing better prompts and comments for accurate code suggestions
• Generating, reviewing, and refining AI-assisted code
• Applying Copilot for testing, debugging, and refactoring
• Using AI-assisted coding responsibly and securely

By the end of this training, participants will be able to confidently use GitHub Copilot to enhance software development productivity, generate and improve code responsibly, support testing and debugging workflows, and apply best practices for secure and effective AI-assisted development.

Introduction to GitHub Copilot and AI-Assisted Development
• Overview of GitHub Copilot and supported environments
• How Copilot works and its capabilities
• Benefits and limitations of AI-assisted coding
• Responsible and ethical use of AI in development

Setting Up and Using GitHub Copilot
• Installing and configuring Copilot in IDEs
• Understanding inline suggestions and completions
• Managing Copilot settings and preferences
• Best practices for developer productivity

Code Generation and Developer Productivity
• Writing natural language comments for code generation
• Creating functions, classes, and boilerplate code
• Improving speed while maintaining code quality
• Reviewing and validating AI-generated code

Testing, Debugging, and Refactoring with Copilot
• Generating unit tests and test cases
• Debugging errors and improving logic with Copilot
• Refactoring existing code for readability and performance
• Using Copilot for documentation and code comments

Security, Quality, and Best Practices
• Identifying insecure or incorrect code suggestions
• Secure coding considerations with AI-generated code
• Licensing, compliance, and IP awareness
• When to trust and when to override Copilot suggestions

Real-World Developer Workflows and Use Cases
• Using Copilot in frontend and backend development
• Supporting APIs, scripts, and automation tasks
• Collaboration and team coding workflows
• Measuring productivity and adoption impact

• GitHub Copilot fundamentals
• AI-assisted coding workflows
• Prompt engineering for developers
• Code generation techniques
• Debugging and refactoring basics
• Test automation concepts
• IDE integration workflows
• Secure coding considerations
• Developer productivity best practices
• Practical software development scenarios

• Hands-on coding exercises using GitHub Copilot
• Code generation and refactoring assessment
• Testing and debugging activity
• Final knowledge evaluation quiz

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in GitHub Copilot for Developers Training, validating their expertise in using GitHub Copilot to enhance developer productivity, code quality, and responsible AI-assisted software development.