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 Duration 14 hours

Course Outline

Introduction to GitHub Copilot

  • Overview of GitHub Copilot and its operational mechanics
  • Compatible environments and integration with IDEs
  • Practical use cases for developers and DevOps specialists

Getting Started with Copilot

  • Activating Copilot in Visual Studio Code
  • Crafting effective prompts to elicit useful code suggestions
  • Evaluating and refining code generated by Copilot

Leveraging Copilot for DevOps Tasks

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

Shell Scripting and Infrastructure Automation

  • Employing Copilot to author and optimize shell scripts
  • Requesting Dockerfile, Terraform, or Kubernetes configuration snippets from Copilot
  • Verifying the accuracy of generated automation scripts

Enhancing Productivity with AI Assistance

  • Minimizing boilerplate code and repetitive tasks
  • Improving workflow velocity during agile sprints using Copilot
  • Integrating Copilot with GitHub CLI and terminal-based workflows

Limitations, Ethics, and Best Practices

  • Defining the scope and boundaries of Copilot’s capabilities
  • Addressing security concerns and intellectual property considerations
  • Adopting 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 multiple repositories

Summary and Future Directions

Requirements

  • A foundational grasp of core software development principles
  • Basic familiarity with Git or other version control systems
  • Foundational experience with YAML, shell scripting, or CI/CD tools

Target Audience

  • Developers seeking to enhance DevOps productivity
  • Novice DevOps practitioners and automation enthusiasts
  • Agile team members aiming to integrate AI support into their workflows

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