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 Duration 14 hours

Course Outline

Overview of GitHub Copilot

  • Definition of GitHub Copilot and its operational mechanics
  • Compatible environments and IDE integrations
  • Practical applications for developers and DevOps experts

Initiating Work with Copilot

  • Activating Copilot in Visual Studio Code
  • Crafting effective prompts to obtain valuable code suggestions
  • Analyzing and refining code generated by Copilot

Applying Copilot to DevOps Operations

  • Creating YAML configurations for CI/CD processes
  • Developing GitHub Actions with the aid of Copilot
  • Streamlining pipelines for testing, linting, and deployment

Shell Scripting and Infrastructure Automation

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

Enhancing Productivity through AI Support

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

Constraints, Ethics, and Best Practices

  • Grasping the scope and limitations of Copilot
  • Addressing security risks and intellectual property issues
  • Adopting best practices for auditing AI-generated code

Project Exercises and Practical Scenarios

  • Automating the CI/CD workflow for a web application
  • Developing reusable templates for GitHub Actions
  • Facilitating team collaboration with Copilot across multiple repositories

Recap and Future Directions

Requirements

  • Foundational knowledge of core software development principles
  • Experience with Git or version control systems
  • Introductory familiarity with YAML, shell scripting, or CI/CD tools

Target Audience

  • Developers aiming to enhance their DevOps efficiency
  • Newcomers to DevOps and those interested in automation
  • Agile team members looking to integrate AI support into their workflows

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