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.
Overview
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.
Learning Outcomes
• 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
Duration & Delivery Mode
14 hours
Target Audience
• 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
Pre-requisites
• 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
Skillset Achieved
• 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
Course Outcome
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.
Course Outline
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
Assessment Topics
• 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
Evaluation
• Hands-on coding exercises using GitHub Copilot
• Code generation and refactoring assessment
• Testing and debugging activity
• Final knowledge evaluation quiz
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
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.
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What Our Students Say
This course helped me integrate GitHub Copilot into my daily coding without sacrificing code quality.
The hands-on exercises made Copilot’s real-world benefits very clear and practical.
A well-structured training that shows how to use Copilot beyond simple code suggestions.
The testing and refactoring modules were extremely useful for improving existing codebases.
An excellent course for developers looking to speed up coding while staying secure and responsible.