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Course Outline

Introduction to Advanced GitHub Copilot Features

  • Review of GitHub Copilot fundamentals.
  • Exploring Copilot’s capacity for sophisticated development tasks.
  • Understanding AI-generated code suggestions from Copilot.

Applying GitHub Copilot in Complex Coding Scenarios

  • Addressing intricate coding patterns and logic.
  • Leveraging Copilot for projects spanning multiple languages.
  • Generating boilerplate code for APIs and frameworks.

Enhancing Code Efficiency and Maintainability

  • Refactoring code using Copilot’s recommendations.
  • Utilizing Copilot to optimize performance-critical code segments.
  • Adhering to best practices for reviewing and editing AI-generated code.

Integrating GitHub Copilot into Development Workflows

  • Configuring Copilot across various IDEs.
  • Combining Copilot with Git workflows and CI/CD pipelines.
  • Facilitating team collaboration while employing Copilot.

Debugging and Troubleshooting with GitHub Copilot

  • Employing Copilot for error detection and debugging.
  • Interpreting and adjusting suggested corrections.
  • Managing limitations and edge cases.

Ethics and Best Practices for AI Coding Tools

  • Understanding ethical considerations regarding AI-generated code.
  • Ensuring adherence to licensing and intellectual property rights.
  • Fostering trust and reliability in AI-assisted development.

Summary and Next Steps

Requirements

  • Foundational knowledge of version control systems, particularly Git.
  • Prior experience in coding and working with IDEs.

Target Audience

  • Software developers.
  • Software engineers.
 14 Hours

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