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Course Outline

Introduction to Advanced Features of GitHub Copilot

  • Review of GitHub Copilot fundamentals.
  • Exploring Copilot’s capabilities for advanced development tasks.
  • Understanding Copilot’s AI-generated code suggestions.

Using GitHub Copilot in Advanced Coding Scenarios

  • Handling complex coding patterns and logic.
  • Leveraging Copilot for multi-language projects.
  • Generating boilerplate code for APIs and frameworks.

Improving Code Efficiency and Maintainability

  • Refactoring code with Copilot’s suggestions.
  • Using Copilot to optimize performance-critical code.
  • Best practices for reviewing and editing Copilot-generated code.

Integrating GitHub Copilot into Development Workflows

  • Configuring Copilot in various IDEs.
  • Combining Copilot with Git workflows and CI/CD pipelines.
  • Collaborating with teams while using Copilot.

Debugging and Troubleshooting with GitHub Copilot

  • Using Copilot for error detection and debugging.
  • Interpreting and modifying suggested fixes.
  • Handling limitations and edge cases.

Ethics and Best Practices in Using AI Coding Tools

  • Understanding the ethical considerations of AI-generated code.
  • Ensuring compliance with licensing and intellectual property rights.
  • Building trust and reliability in AI-assisted development.

Summary and Next Steps

Requirements

  • Fundamental understanding of version control systems, such as Git.
  • Practical experience in coding and using IDEs.

Audience

  • Software developers.
  • Software engineers.
 14 Hours

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