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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 integrations
- Relevant applications for developers and DevOps specialists
Initial Steps with Copilot
- Activating Copilot within Visual Studio Code
- Crafting effective prompts to elicit valuable code suggestions
- Evaluating and refining code generated by Copilot
Applying Copilot to DevOps Workflows
- Creating YAML configurations for CI/CD processes
- Developing GitHub Actions with Copilot assistance
- Automating testing, linting, and deployment pipelines
Shell Scripting and Infrastructure Automation
- Employing Copilot for creating and enhancing shell scripts
- Generating Dockerfile, Terraform, or Kubernetes configuration snippets via Copilot
- Validating automated scripts produced by AI
Enhancing Productivity via AI Support
- Minimizing boilerplate code and repetitive duties
- Increasing speed during agile sprints with Copilot
- Integrating Copilot with GitHub CLI and terminal-based workflows
Constraints, Ethics, and Best Practices
- Defining the scope and boundaries of Copilot
- Addressing security implications and intellectual property concerns
- Adopting 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 multiple repositories
Conclusion and Future Pathways
Requirements
- A grasp of fundamental software development principles
- Knowledge of Git or version control systems
- Foundational experience with YAML, shell scripting, or CI/CD tools
Target Audience
- Developers aiming to enhance DevOps efficiency
- Novice DevOps engineers and automation enthusiasts
- Agile team members seeking AI integration in 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
