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Duration 14 hours
Course Outline
Introduction to GitHub Copilot
- Overview of GitHub Copilot and its operational mechanics
- Key use cases for both developers and DevOps specialists
Getting Started with Copilot
- Activating Copilot within Visual Studio Code
- Effective prompting techniques to elicit valuable code suggestions
- Evaluating and refining code generated by Copilot
Applying Copilot to DevOps Tasks
- Creating YAML configurations for CI/CD workflows
- Developing GitHub Actions with Copilot’s support
- Automating pipelines for testing, linting, and deployment
Shell Scripting and Infrastructure Automation
- Utilizing Copilot to draft and enhance shell scripts
- Generating snippets for Dockerfiles, Terraform, or Kubernetes configurations via Copilot
- Verification of generated automation scripts
Enhancing Productivity with AI Support
- Minimizing repetitive boilerplate tasks
- Increasing velocity during agile sprints with Copilot
- Integrating Copilot with GitHub CLI and terminal-based workflows
Limitations, Ethics, and Best Practices
- Defining the scope and boundaries of Copilot’s capabilities
- Addressing security issues and intellectual property implications
Project Exercises and Real-World Scenarios
- Creating reusable templates for GitHub Actions
- Facilitating team collaboration using Copilot across multiple repositories
Summary and Next Steps
Requirements
- Fundamental knowledge of software development concepts
- Basic proficiency with YAML, shell scripting, or CI/CD tools
Target Audience
- Developers aiming to enhance their DevOps productivity
- DevOps novices and those interested in automation
- Agile team members looking to integrate AI support into 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