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GitHub Copilot

Course Summary

This course provides hands-on experience in leveraging GitHub Copilot for AI-assisted software development. Participants will explore Copilot’s capabilities for code generation, completion, documentation, and debugging to enhance productivity. Through live demonstrations, students will learn how to integrate Copilot into their development workflow. The session concludes with a discussion on best practices, ethical considerations, and customization options for maximizing Copilot’s value in professional settings.

Prerequisites:

  • Basic understanding of programming concepts and syntax in at least one programming language (Python, JavaScript, Java, or similar)
  • Experience using Git and GitHub for version control
  • Familiarity with Visual Studio Code or another supported IDE

Purpose
Understand and apply GitHub Copilot’s AI-powered features to improve software development efficiency and collaboration
Role
IT Professionals
Skill level
Intermediate
Style
Lecture | Hands-on Activities
Duration
1 day
Related technologies
Generative AI | Python | JavaScript | Java | Visual Studio

 

Learning objectives
  • Gain hands-on experience using GitHub Copilot for AI-assisted coding
  • Improve coding efficiency by leveraging Copilot's AI capabilities for code completion, documentation, and error handling
  • Enhance team collaboration by integrating Copilot into GitHub-based workflows
  • Customize Copilot’s behavior and settings to align with personal or team coding styles

What you'll learn:

In this GitHub Copilot course, you'll learn:
  • Introduction to Generative AI
    • Definition and significance of generative AI
    • Overview of applications across industries
    • Basics of natural language generation
  • Introduction to GitHub Copilot
    • Overview of GitHub Copilot’s Ai-powered coding features
    • How Copilot enhances productivity through code completion, automation, and documentation
    • Setting up Copilot in supported IDEs and configuring settings for optimal use
    • Navigating Copilot’s interface and understanding context-aware suggestions
  • Developing with GitHub Copilot
    • Code completion and refactoring to improve reliability and maintainability
    • Debugging and issue resolution using AI-generated suggestions
    • Automated documentation for inline comments, function explanations, and summaries
    • Test case generation to improve software reliability
  • Maximizing Efficiency
    • Customizing Copilot settings, language preferences, and integrations
    • Using shortcuts and commands for efficient navigation
    • Integrating Copilot into GitHub workflows for collaborative coding
    • Understanding Copilot’s limitations, ethical considerations, and security best practices
  • Advanced Usage
    • Extending Copilot with plugins to enhance Ai-assisted development
    • Leveraging advanced Copilot features for refactoring assistance and optimization
    • Fine-tuning Copilot’s settings for customized behavior in different coding environments

GitHub Copilot

real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
fully customized

Tailored Outlines

Once-size-fits-all doesn't apply to training teams. That's where we come in!

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