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Duration 14 hours
Course Outline
Introduction to GitHub Copilot
- What GitHub Copilot is and how it functions
- Supported environments and IDE integration
- Use cases for developers and DevOps professionals
Getting Started with Copilot
- Enabling Copilot in Visual Studio Code
- Prompting Copilot for useful code suggestions
- Understanding and refining Copilot-generated code
Using Copilot for DevOps Tasks
- Generating YAML configurations for CI/CD workflows
- Writing GitHub Actions with Copilot support
- Automating testing, linting, and deployment pipelines
Shell Scripting and Infrastructure Automation
- Using Copilot to write and improve shell scripts
- Prompting Copilot for Dockerfile, Terraform, or Kubernetes config snippets
- Validating generated automation scripts
Productivity Boost with AI Assistance
- Reducing boilerplate and repetitive tasks
- Working faster with Copilot in agile sprints
- Combining Copilot with GitHub CLI and terminal workflows
Limitations, Ethics, and Best Practices
- Understanding Copilot's scope and boundaries
- Security concerns and intellectual property considerations
- Best practices for reviewing AI-generated code
Project Exercises and Real-World Scenarios
- CI/CD workflow automation for a web application
- Writing reusable GitHub Actions templates
- Team collaboration using Copilot across repos
Summary and Next Steps
Requirements
- A foundational understanding of basic software development concepts
- Familiarity with Git or general version control workflows
- Basic experience with YAML, shell scripting, or CI/CD tools
Audience
- Developers seeking to enhance DevOps productivity
- DevOps newcomers and automation enthusiasts
- Agile team members looking for AI support in their workflows
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny