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Duration 14 hours
Course Outline
Introduction to GitHub Copilot
- Overview of GitHub Copilot and its operational mechanisms.
- Supported development environments and IDE integrations.
- Key use cases for software developers and DevOps specialists.
Getting Started with Copilot
- Activating Copilot within Visual Studio Code.
- Crafting effective prompts to elicit useful code suggestions.
- Reviewing and refining code generated by Copilot.
Applying Copilot to DevOps Workflows
- Creating YAML configurations for CI/CD processes.
- Developing GitHub Actions with the aid of Copilot.
- Automating pipelines for testing, linting, and deployment.
Shell Scripting and Infrastructure Automation
- Leveraging Copilot to author and enhance shell scripts.
- Generating snippets for Dockerfiles, Terraform, or Kubernetes configurations.
- Validating the correctness and functionality of automated scripts.
Enhancing Productivity with AI Assistance
- Minimizing boilerplate code and repetitive manual tasks.
- Achieving faster delivery during agile sprints with Copilot.
- Integrating Copilot with GitHub CLI and terminal-based workflows.
Limitations, Ethics, and Best Practices
- Recognizing the scope and constraints of Copilot.
- Addressing security implications and intellectual property rights.
- Adopting best practices for the review of AI-generated code.
Project Exercises and Real-World Applications
- Automating CI/CD workflows for web applications.
- Developing reusable GitHub Actions templates.
- Facilitating team collaboration using Copilot across multiple repositories.
Course Summary and Future Steps
Requirements
- A solid grasp of fundamental software development principles.
- Working knowledge of Git and version control procedures.
- Foundational experience with YAML syntax, shell scripting, or CI/CD tools.
Target Audience
- Developers seeking to elevate their DevOps productivity.
- DevOps newcomers and enthusiasts of automation technologies.
- Agile team members looking to integrate AI assistance 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
