Course Outline
Introduction to GitHub Copilot
- Overview of GitHub Copilot and its operational mechanisms.
- Supported environments and IDE integration details.
- 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.
- Evaluating 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 pipelines for testing, linting, and deployment.
Shell Scripting and Infrastructure Automation
- Leveraging Copilot to draft and enhance shell scripts.
- Prompting Copilot for Dockerfile, Terraform, or Kubernetes configuration snippets.
- Validating the accuracy of generated automation scripts.
Enhancing Productivity with AI Support
- Minimizing boilerplate code and repetitive activities.
- Accelerating work cycles with Copilot in agile sprints.
- Integrating Copilot with GitHub CLI and terminal-based workflows.
Limitations, Ethics, and Best Practices
- Defining the scope and boundaries of Copilot.
- Addressing security concerns and intellectual property implications.
- Adopting best practices for reviewing AI-generated code.
Project Exercises and Practical Scenarios
- Automating CI/CD workflows for a web application.
- Developing reusable GitHub Actions templates.
- Facilitating team collaboration using Copilot across multiple repositories.
Summary and Future Directions
Requirements
- A foundational grasp of core software development principles.
- Familiarity with Git or standard version control workflows.
- Basic proficiency in YAML, shell scripting, or CI/CD tools.
Target Audience
- Developers aiming to enhance DevOps efficiency.
- DevOps novices and those interested in automation.
- Agile team members looking to integrate AI support into their workflows.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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
