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 Duration 14 hours

Course Outline

Introduction to GitHub Copilot

  • Overview of GitHub Copilot and its operational mechanics
  • Compatible environments and IDE integrations
  • Key use cases for developers and DevOps specialists

Getting Started with Copilot

  • Activating Copilot within Visual Studio Code
  • Crafting prompts to elicit effective code suggestions from Copilot
  • Analyzing and refining code generated by Copilot

Applying Copilot to DevOps Tasks

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

Shell Scripting and Infrastructure Automation

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

Enhancing Productivity with AI Support

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

Limitations, Ethics, and Best Practices

  • Recognizing the scope and boundaries of Copilot’s capabilities
  • Addressing security risks and intellectual property issues
  • Following best practices for reviewing AI-generated code

Project Exercises and Real-World Scenarios

  • Automating CI/CD workflows for web applications
  • Developing reusable GitHub Action templates
  • Facilitating team collaboration using Copilot across multiple repositories

Summary and Future Steps

Requirements

  • Fundamental knowledge of software development principles
  • Proficiency with Git or version control processes
  • Basic familiarity with YAML, shell scripting, or CI/CD tools

Target Audience

  • Developers aiming to enhance DevOps efficiency
  • DevOps novices and automation enthusiasts
  • Agile team members looking to integrate AI support into their workflows

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