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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 options
- Practical use cases for developers and DevOps specialists
Initial Setup with Copilot
- Activating Copilot within Visual Studio Code
- Crafting effective prompts to elicit useful code suggestions
- Interpreting and refining code generated by Copilot
Applying Copilot to DevOps Workflows
- Generating YAML configurations for CI/CD workflows
- Developing GitHub Actions with Copilot assistance
- Automating testing, linting, and deployment pipelines
Shell Scripting and Infrastructure Automation
- Writing and enhancing shell scripts using Copilot
- Requesting Dockerfile, Terraform, or Kubernetes configuration snippets
- Validating automation scripts generated by AI
Enhancing Productivity with AI Support
- Minimizing boilerplate code and repetitive tasks
- Accelerating work within agile sprints using 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 concerns and intellectual property implications
- Best practices for reviewing AI-generated code
Practical Exercises and Real-World Applications
- Automating CI/CD workflows for web applications
- Creating reusable GitHub Action templates
- Facilitating team collaboration using Copilot across repositories
Summary and Future Directions
Requirements
- A solid grasp of fundamental software development principles
- Proficiency with Git or version control systems
- Foundational knowledge of YAML, shell scripting, or CI/CD tools
Target Audience
- Developers seeking to enhance DevOps efficiency
- DevOps newcomers and automation enthusiasts
- Agile team members aiming 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
