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Course Outline

Introduction to GitHub Copilot

  • Understanding what GitHub Copilot is and its underlying mechanisms.
  • Supported environments and integration with IDEs.
  • Relevant use cases for developers and DevOps professionals.

Getting Started with Copilot

  • Enabling Copilot in Visual Studio Code.
  • Crafting effective prompts for useful code suggestions.
  • Understanding and refining code generated by Copilot.

Using Copilot for DevOps Tasks

  • Generating YAML configurations for CI/CD workflows.
  • Writing GitHub Actions with Copilot assistance.
  • Automating testing, linting, and deployment pipelines.

Shell Scripting and Infrastructure Automation

  • Using Copilot to write and enhance shell scripts.
  • Prompting Copilot for Dockerfile, Terraform, or Kubernetes configuration snippets.
  • Validating automation scripts generated by Copilot.

Boosting Productivity with AI Assistance

  • Minimising boilerplate code and repetitive tasks.
  • Working more efficiently with Copilot during agile sprints.
  • Integrating Copilot with GitHub CLI and terminal workflows.

Limitations, Ethics, and Best Practices

  • Recognising Copilot's scope and boundaries.
  • Addressing security concerns and intellectual property considerations.
  • Adhering to best practices for reviewing AI-generated code.

Project Exercises and Real-World Scenarios

  • Automating CI/CD workflows for web applications.
  • Creating reusable GitHub Actions templates.
  • Facilitating team collaboration using Copilot across repositories.

Summary and Next Steps

Requirements

  • A foundational understanding of core software development concepts.
  • Familiarity with Git or general version control workflows.
  • Basic experience with YAML, shell scripting, or CI/CD tools.

Audience

  • Developers keen on enhancing DevOps productivity.
  • DevOps beginners and automation enthusiasts.
  • Agile team members looking for AI support in their workflows.
 14 Hours

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