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Duration 14 hours
Course Outline
Introduction to GitHub Copilot
- Overview of GitHub Copilot and its operational mechanics
- Compatible environments and integration with IDEs
- Application scenarios for developers and DevOps specialists
Initial Setup with Copilot
- Activating Copilot within Visual Studio Code
- Crafting effective prompts to elicit useful code suggestions
- Reviewing and optimizing code generated by Copilot
Applying Copilot to DevOps Workflows
- Creating YAML configurations for CI/CD processes
- Developing GitHub Actions with Copilot’s assistance
- Automating pipelines for testing, linting, and deployment
Shell Scripting and Infrastructure Management
- Leveraging Copilot to draft and refine shell scripts
- Generating snippets for Dockerfiles, Terraform, or Kubernetes configurations using Copilot
- Verifying the accuracy and safety of generated automation scripts
Improving Productivity through AI Support
- Minimizing time spent on boilerplate code and repetitive duties
- Increasing speed and efficiency during agile sprint cycles with Copilot
- Integrating Copilot with GitHub CLI and terminal-based workflows
Boundaries, Ethics, and Best Practices
- Recognizing the scope and limitations of Copilot
- Addressing security implications and intellectual property concerns
- Establishing best practices for auditing AI-generated code
Practical Exercises and Scenario-Based Learning
- Implementing CI/CD workflow automation for web applications
- Developing reusable GitHub Action templates
- Enhancing team collaboration by using Copilot across multiple repositories
Course Conclusion and Recommended Next Steps
Requirements
- A foundational grasp of core software development principles
- Proficiency with Git or general version control processes
- Basic working knowledge of YAML, shell scripting, or CI/CD tools
Target Audience
- Developers seeking to enhance their DevOps output
- Newcomers to DevOps and individuals interested in automation
- Members of agile teams looking to integrate AI support into their daily 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
