Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to GitHub Copilot
- An overview of GitHub Copilot and its operational mechanisms
- Supported environments and IDE integration options
- Relevant use cases for developers and DevOps professionals
Getting Started with Copilot
- Activating Copilot within Visual Studio Code
- Crafting prompts to elicit useful code suggestions from Copilot
- Reviewing and refining code generated by Copilot
Applying Copilot to DevOps Tasks
- Creating YAML configurations for CI/CD workflows
- Developing GitHub Actions with Copilot assistance
- Automating testing, linting, and deployment pipelines
Shell Scripting and Infrastructure Automation
- Leveraging Copilot to write and optimise shell scripts
- Prompting Copilot for Dockerfile, Terraform, or Kubernetes configuration snippets
- Verifying the accuracy of generated automation scripts
Enhancing Productivity with AI Assistance
- Minimising boilerplate code and repetitive tasks
- Improving speed and efficiency during agile sprints using Copilot
- Integrating Copilot with GitHub CLI and terminal-based workflows
Limitations, Ethics, and Best Practices
- Gaining insight into Copilot's scope and operational boundaries
- Addressing security concerns and intellectual property considerations
- Following best practices for reviewing AI-generated code
Project Exercises and Real-World Scenarios
- Automating CI/CD workflows for a web application
- Creating reusable GitHub Actions templates
- Facilitating team collaboration using Copilot across repositories
Summary and Next Steps
Requirements
- A foundational understanding of basic software development concepts
- Familiarity with Git or version control workflows
- Basic experience with YAML, shell scripting, or CI/CD tools
Target Audience
- Developers aiming to enhance DevOps productivity
- DevOps newcomers and automation enthusiasts
- Agile team members seeking AI support 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