Course Outline
Introduction to GitHub Copilot
- Overview of GitHub Copilot and its underlying mechanisms.
- Supported environments and integration with IDEs.
- Relevant use cases for developers and DevOps professionals.
Getting Started with Copilot
- Enabling Copilot within Visual Studio Code.
- Crafting effective prompts for useful code suggestions.
- Understanding and refining code generated by Copilot.
Applying Copilot to DevOps Tasks
- Generating YAML configurations for CI/CD workflows.
- Writing GitHub Actions with Copilot assistance.
- Automating testing, linting, and deployment pipelines.
Shell Scripting and Infrastructure Automation
- Using Copilot to write and optimize shell scripts.
- Prompting Copilot for snippets involving Dockerfiles, Terraform, or Kubernetes configurations.
- Validating scripts generated for automation tasks.
Enhancing Productivity with AI Assistance
- Minimizing boilerplate code and repetitive tasks.
- Working more efficiently with Copilot during agile sprints.
- Integrating Copilot with GitHub CLI and terminal workflows.
Limitations, Ethics, and Best Practices
- Understanding the scope and boundaries of Copilot.
- Addressing security concerns and intellectual property considerations.
- Establishing best practices for reviewing AI-generated code.
Project Exercises and Real-World Scenarios
- Automating CI/CD workflows for web applications.
- Developing 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 general version control workflows.
- Basic experience with YAML, shell scripting, or CI/CD tools.
Target Audience
- Developers aiming to enhance their DevOps productivity.
- Beginners in DevOps and automation enthusiasts.
- Agile team members seeking AI-driven support in their workflows.
Testimonials (2)
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
Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers
Trainer able to adjust the course level during training to fit our understanding level on the topic, so that we could gain more useful knowledge that could further help us harness the tools in our daily works.