Course Code: intermgithubcopilot
Duration: 14 hours
Prerequisites:
  • Basic familiarity with version control systems, such as Git
  • Experience in writing code and using IDEs

Audience

  • Software developers
  • Software engineers
Overview:

GitHub Copilot is an AI-powered tool designed to assist developers in writing code efficiently and effectively.

This instructor-led, live training (online or onsite) is aimed at intermediate-level participants who wish to leverage GitHub Copilot to handle advanced coding use cases, improve productivity, and integrate Copilot into their development workflows.

By the end of this training, participants will be able to:

  • Optimize their use of GitHub Copilot for advanced coding tasks.
  • Write more efficient, error-free, and maintainable code with Copilot suggestions.
  • Integrate GitHub Copilot into their preferred IDEs and workflows.
  • Utilize Copilot for debugging and code refactoring.
  • Understand the limitations and ethical considerations of using AI-powered coding tools.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to Advanced Features of GitHub Copilot

  • Recap of GitHub Copilot basics
  • Exploring Copilot’s capabilities for advanced development tasks
  • Understanding Copilot’s AI-generated code suggestions

Using GitHub Copilot in Advanced Coding Scenarios

  • Handling complex coding patterns and logic
  • Leveraging Copilot for multi-language projects
  • Generating boilerplate code for APIs and frameworks

Improving Code Efficiency and Maintainability

  • Refactoring code with Copilot’s suggestions
  • Using Copilot to optimize performance-critical code
  • Best practices for reviewing and editing Copilot-generated code

Integrating GitHub Copilot into Development Workflows

  • Configuring Copilot in various IDEs
  • Combining Copilot with Git workflows and CI/CD pipelines
  • Collaborating with teams while using Copilot

Debugging and Troubleshooting with GitHub Copilot

  • Using Copilot for error detection and debugging
  • Interpreting and modifying suggested fixes
  • Handling limitations and edge cases

Ethics and Best Practices in Using AI Coding Tools

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

Summary and Next Steps

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