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Course Outline

Introduction to Advanced GitHub Copilot Features

  • Review of GitHub Copilot fundamentals.
  • Exploring Copilot’s capabilities for complex development tasks.
  • Comprehending how Copilot generates code suggestions via AI.

Applying GitHub Copilot in Advanced Coding Situations

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

Enhancing Code Efficiency and Maintainability

  • Refactoring code using Copilot’s insights.
  • Using Copilot to optimize code that is critical for performance.
  • Best practices for reviewing and editing code generated by Copilot.

Integrating GitHub Copilot into Development Workflows

  • Setting up Copilot across various IDEs.
  • Combining Copilot with Git workflows and CI/CD pipelines.
  • Collaborating effectively within teams while using Copilot.

Debugging and Troubleshooting with GitHub Copilot

  • Utilizing Copilot for error detection and debugging.
  • Interpreting and adjusting suggested fixes.
  • Addressing limitations and edge cases.

Ethics and Best Practices for AI Coding Tools

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

Summary and Next Steps

Requirements

  • Basic understanding of version control systems, particularly Git.
  • Prior experience in writing code and using Integrated Development Environments (IDEs).

Target Audience

  • Software developers.
  • Software engineers.
 14 Hours

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