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Course Outline

Introduction to Advanced GitHub Copilot Features

  • Reviewing the fundamentals of GitHub Copilot.
  • Investigating Copilot’s potential for advanced development requirements.
  • Gaining a clear understanding of how Copilot generates AI-based code suggestions.

Applying GitHub Copilot in Complex Coding Situations

  • Managing intricate coding patterns and logical structures.
  • Utilizing Copilot for projects spanning multiple programming languages.
  • Auto-generating boilerplate code for various APIs and frameworks.

Enhancing Code Efficiency and Long-term Maintainability

  • Refactoring existing code guided by Copilot’s recommendations.
  • Employing Copilot to optimize code segments critical to performance.
  • Adopting best practices for the review and modification of AI-generated code.

Embedding GitHub Copilot into Development Processes

  • Setting up Copilot across different IDE platforms.
  • Synergizing Copilot with Git workflows and CI/CD pipelines.
  • Facilitating team collaboration while utilizing Copilot.

Debugging and Problem-Solving with GitHub Copilot

  • Leveraging Copilot to identify errors and assist in debugging.
  • Analyzing and adjusting the proposed solutions.
  • Addressing tool limitations and handling edge cases.

Ethics and Best Practices for AI Coding Assistants

  • Exploring the ethical dimensions of AI-generated code.
  • Ensuring adherence to licensing standards and intellectual property laws.
  • Fostering trust and reliability in AI-assisted development practices.

Recap and Future Directions

Requirements

  • Fundamental knowledge of version control systems like Git.
  • Practical experience in coding and utilizing Integrated Development Environments (IDEs).

Target Audience

  • Software developers.
  • Software engineers.
 14 Hours

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