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 Duration 14 hours

Course Outline

Advanced Capabilities of GitHub Copilot

  • Reviewing the fundamentals of GitHub Copilot.
  • Investigating Copilot’s strengths in tackling advanced development challenges.
  • Gaining insight into the AI-generated code suggestions provided by Copilot.

GitHub Copilot in Complex Coding Scenarios

  • Managing intricate coding patterns and logical structures.
  • Applying Copilot to multi-language project environments.
  • Generating template code for APIs and various frameworks.

Enhancing Code Efficiency and Sustainability

  • Refactoring codebases guided by Copilot’s insights.
  • Utilizing Copilot to enhance performance-sensitive code segments.
  • Adopting best practices for evaluating and refining AI-generated code.

Embedding GitHub Copilot into Development Cycles

  • Setting up Copilot across a variety of IDEs.
  • Aligning Copilot with Git workflows and CI/CD pipelines.
  • Fostering team collaboration while utilizing Copilot.

Debugging and Problem-Solving with GitHub Copilot

  • Leveraging Copilot for error identification and debugging.
  • Analyzing and adjusting proposed solutions.
  • Addressing tool limitations and edge-case scenarios.

Ethics and Standards in AI-Assisted Coding

  • Recognizing the ethical dimensions of AI-generated code.
  • Maintaining compliance with licensing agreements and intellectual property laws.
  • Establishing trust and reliability in AI-supported development practices.

Recap and Future Pathways

Requirements

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

Target Audience

  • Software developers.
  • Software engineers.

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