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 Duration 14 hours

Course Outline

Introduction to GitHub Copilot

  • An overview of GitHub Copilot and its operational mechanisms
  • Supported environments and IDE integration options
  • Relevant use cases for developers and DevOps professionals

Getting Started with Copilot

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

Applying Copilot to 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

  • Leveraging Copilot to write and optimise shell scripts
  • Prompting Copilot for Dockerfile, Terraform, or Kubernetes configuration snippets
  • Verifying the accuracy of generated automation scripts

Enhancing Productivity with AI Assistance

  • Minimising boilerplate code and repetitive tasks
  • Improving speed and efficiency during agile sprints using Copilot
  • Integrating Copilot with GitHub CLI and terminal-based workflows

Limitations, Ethics, and Best Practices

  • Gaining insight into Copilot's scope and operational boundaries
  • Addressing security concerns and intellectual property considerations
  • Following 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 version control workflows
  • Basic experience with YAML, shell scripting, or CI/CD tools

Target Audience

  • Developers aiming to enhance DevOps productivity
  • DevOps newcomers and automation enthusiasts
  • Agile team members seeking AI support in their workflows

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