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 Duration 14 hours

Course Outline

Introduction to GitHub Copilot

  • Overview of GitHub Copilot and its operational mechanisms
  • Supported environments and IDE integration options
  • Use cases tailored for developers and DevOps professionals

Getting Started with Copilot

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

Using Copilot for DevOps Tasks

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

Shell Scripting and Infrastructure Automation

  • Employing Copilot to create and optimize shell scripts
  • Requesting Dockerfile, Terraform, or Kubernetes config snippets via Copilot
  • Validating automation scripts produced by AI

Productivity Boost with AI Assistance

  • Minimizing boilerplate and repetitive tasks
  • Enhancing speed with Copilot during agile sprints
  • Integrating Copilot with GitHub CLI and terminal-based workflows

Limitations, Ethics, and Best Practices

  • Grasping the scope and boundaries of Copilot
  • Addressing security concerns and intellectual property considerations
  • Best practices for reviewing AI-generated code

Project Exercises and Real-World Scenarios

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

Summary and Next Steps

Requirements

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

Audience

  • Developers aiming to enhance DevOps productivity
  • DevOps novices and automation enthusiasts
  • Agile team members seeking AI-assisted workflows

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