This course focuses on understanding how Copilot works, writing better prompts and comments, generating code responsibly, improving productivity across development workflows, and applying best practices to use AI-assisted coding safely and efficiently in real-world projects.
Overview
GitHub Copilot Fundamentals Training is a hands-on two-day program designed to help developers and technology professionals effectively use GitHub Copilot to accelerate software development. This course focuses on understanding how Copilot works, writing better prompts and comments, generating code responsibly, improving productivity across development workflows, and applying best practices to use AI-assisted coding safely and efficiently in real-world projects.
Learning Outcomes
• Understand GitHub Copilot fundamentals
• Learn AI-assisted coding concepts
• Understand code suggestion workflows
• Gain knowledge of prompt-based coding assistance
• Learn productivity optimization techniques
• Understand Copilot integration basics
• Explore AI-driven development workflows
• Identify software development use cases
Duration & Delivery Mode
14 hours
Target Audience
• Software developers and programmers
• Full-stack, backend, and frontend engineers
• DevOps and automation engineers
• Computer science students and early-career developers
• Technical leads exploring AI-assisted development
Pre-requisites
• Basic understanding of programming concepts
• Familiarity with at least one programming language
• Experience using code editors such as VS Code
• Awareness of version control concepts is beneficial
Skillset Achieved
• Understanding GitHub Copilot capabilities and limitations
• Using Copilot for code generation and completion
• Writing effective prompts and comments for better suggestions
• Applying Copilot across 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 development productivity, generate and review code effectively, apply Copilot across common development tasks, and follow best practices for secure, ethical, and responsible AI-assisted coding.
Course Outline
Introduction to GitHub Copilot and AI-Assisted Coding
• Overview of GitHub Copilot and supported environments
• How Copilot works and its underlying concepts
• Benefits and limitations of AI-assisted coding
• Responsible use of AI in software development
Setting Up GitHub Copilot
• Installation and configuration in IDEs
• Understanding Copilot suggestions and modes
• Managing settings and preferences
• Copilot workflow best practices
Code Generation and Productivity Boost
• Writing code using natural language comments
• Generating functions, classes, and boilerplate code
• Improving coding speed and reducing repetition
• Understanding and reviewing AI-generated code
Using Copilot for Testing, Debugging, and Refactoring
• Generating unit tests and test cases
• Debugging code with Copilot assistance
• Refactoring and improving code quality
• Using Copilot for documentation and comments
Security, Quality, and Best Practices
• Avoiding insecure or incorrect code suggestions
• Code review and validation techniques
• Licensing, compliance, and ethical considerations
• When not to rely on AI-generated code
Real-World Use Cases and Developer Workflows
• Using Copilot in frontend, backend, and API development
• Supporting DevOps and automation scripts
• Collaboration and team productivity improvements
• Measuring impact and adoption success
Assessment Topics
• GitHub Copilot concepts
• AI-assisted coding workflows
• Prompt engineering for coding
• Code generation basics
• Debugging and code optimization
• IDE integration concepts
• AI-driven software development
• Security and code review basics
• Best practices for Copilot usage
• Practical coding 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 Fundamentals Training, validating their expertise in using GitHub Copilot for AI-assisted coding, productivity improvement, and responsible software development.
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What Our Students Say
This course helped me use GitHub Copilot more effectively without compromising code quality.
The hands-on approach made it easy to integrate Copilot into my daily development workflow.
The scripting and automation examples were extremely useful for real-world projects.
A practical training that balances productivity gains with responsible AI usage.
An excellent foundation for developers adopting AI-assisted coding tools.