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Course Outline

Introduction to Advanced Features of GitHub Copilot

  • Recap of foundational GitHub Copilot concepts.
  • Exploring Copilot’s capabilities for advanced development tasks.
  • Understanding the nature of Copilot’s AI-generated code suggestions.

Utilizing GitHub Copilot in Advanced Coding Scenarios

  • Managing complex coding patterns and logic.
  • Leveraging Copilot for projects involving multiple programming languages.
  • Generating boilerplate code for APIs and frameworks.

Enhancing Code Efficiency and Maintainability

  • Refactoring code based on Copilot’s suggestions.
  • Using Copilot to optimize performance-critical sections of code.
  • Best practices for reviewing and editing code generated by Copilot.

Integrating GitHub Copilot into Development Workflows

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

Debugging and Troubleshooting with GitHub Copilot

  • Employing Copilot for error detection and debugging.
  • Interpreting and modifying suggested fixes.
  • Addressing limitations and handling edge cases.

Ethics and Best Practices in Using AI Coding Tools

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

Summary and Next Steps

Requirements

  • Basic understanding of version control systems, particularly Git.
  • Prior experience in coding and working within Integrated Development Environments (IDEs).

Target Audience

  • Software developers.
  • Software engineers.
 14 Hours

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