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 Duration 14 hours

Course Outline

Diving into the Advanced Capabilities of GitHub Copilot

  • Reviewing the fundamental aspects of GitHub Copilot
  • Investigating how Copilot supports complex development needs
  • Decoding the mechanism behind Copilot’s AI-driven code proposals

Applying GitHub Copilot in Complex Coding Situations

  • Managing intricate logic and sophisticated coding patterns
  • Utilizing Copilot within multi-language project architectures
  • Automating the generation of boilerplate code for APIs and frameworks

Enhancing Code Performance and Longevity

  • Re-structuring code using insights from Copilot
  • Applying Copilot to fine-tune performance-sensitive sections
  • Adopting best practices for vetting and refining AI-generated code

Embedding GitHub Copilot into Daily Development Cycles

  • Setting up Copilot across a variety of IDE platforms
  • Merging Copilot with Git processes and CI/CD pipelines
  • Facilitating team collaboration in Copilot-assisted environments

Troubleshooting and Error Resolution with GitHub Copilot

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

Ethical Standards and Best Practices for AI Coding Tools

  • Exploring the moral dimensions of AI-generated code
  • Maintaining adherence to licensing agreements and intellectual property laws
  • Fostering confidence and reliability in AI-supported development

Conclusions and Future Directions

Requirements

  • Fundamental knowledge of version control systems, particularly Git
  • Proficiency in coding and navigating IDE environments

Target Audience

  • Software Developers
  • Software Engineers

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