Course Outline
Introduction to GitHub Copilot
- Overview of GitHub Copilot and its underlying mechanisms.
- Compatible environments and IDE integration options.
- Real-world use cases for developers and DevOps professionals.
Getting Started with Copilot
- Enabling Copilot within Visual Studio Code.
- Crafting effective prompts for optimal code suggestions.
- Evaluating and refining AI-generated code.
Applying Copilot to DevOps Tasks
- Generating YAML configurations for CI/CD workflows.
- Creating GitHub Actions with Copilot assistance.
- Automating testing, linting, and deployment pipelines.
Shell Scripting and Infrastructure Automation
- Using Copilot to write and enhance shell scripts.
- Prompting Copilot for snippets related to Dockerfile, Terraform, or Kubernetes configurations.
- Validating generated automation scripts for accuracy.
Boosting Productivity with AI Assistance
- Reducing boilerplate code and eliminating repetitive tasks.
- Working more efficiently during agile sprints with Copilot.
- Integrating Copilot with GitHub CLI and terminal workflows.
Limitations, Ethics, and Best Practices
- Understanding the scope and boundaries of Copilot’s capabilities.
- Addressing security concerns and intellectual property considerations.
- Adhering to 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 multiple repositories.
Summary and Next Steps
Requirements
- A foundational understanding of software development concepts.
- Familiarity with Git or general version control workflows.
- Basic experience with YAML, shell scripting, or CI/CD tools.
Target Audience
- Developers seeking to enhance their DevOps productivity.
- Novice DevOps practitioners and automation enthusiasts.
- Agile team members looking for AI support within 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.
