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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 integration details
  • Practical use cases for developers and DevOps engineers

Initial Setup with Copilot

  • Activating Copilot within Visual Studio Code
  • Crafting effective prompts for optimal code suggestions
  • Reviewing and refining AI-generated code

Applying Copilot to DevOps Workflows

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

Shell Scripting and Infrastructure Automation

  • Utilizing Copilot to author and optimize shell scripts
  • Prompting for snippets related to Dockerfiles, Terraform, or Kubernetes configs
  • Validating the accuracy of generated automation scripts

Enhancing Productivity with AI Support

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

Constraints, Ethics, and Best Practices

  • Defining the scope and boundaries of Copilot’s capabilities
  • Addressing security issues and intellectual property concerns
  • Establishing best practices for auditing AI-generated code

Practical Exercises and Real-World Scenarios

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

Conclusion and Future Directions

Requirements

  • Foundational knowledge of core software development principles
  • Working familiarity with Git or other version control workflows
  • Basic proficiency in YAML, shell scripting, or CI/CD tooling

Target Audience

  • Developers aiming to enhance their DevOps efficiency
  • DevOps newcomers and those passionate about automation
  • Agile team members seeking AI assistance in their daily workflows

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