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Duration 14 hours
Course Outline
Introduction to GitHub Copilot
- Defining GitHub Copilot and its core mechanics
- Key application scenarios for both developers and DevOps specialists
Getting Started with Copilot
- Configuring Copilot within Visual Studio Code
- Crafting effective prompts to elicit valuable code suggestions
- Analyzing and refining code generated by Copilot
Leveraging Copilot for DevOps Operations
- Creating YAML configurations for CI/CD pipelines with AI assistance
- Developing GitHub Actions workflows supported by Copilot
- Streamlining pipelines for testing, linting, and deployment
Shell Scripting and Infrastructure Automation
- Drafting and enhancing shell scripts using Copilot
- Generating configuration snippets for Dockerfile, Terraform, or Kubernetes
- Verifying the accuracy and safety of automated scripts
Enhancing Productivity through AI
- Minimizing boilerplate code and repetitive manual tasks
- Accelerating development cycles within agile sprints using Copilot
- Integrating Copilot with GitHub CLI and terminal-based workflows
Limitations, Ethics, and Best Practices
- Grasping the capabilities and boundaries of Copilot
- Addressing security risks and intellectual property implications
- Establishing robust protocols for reviewing AI-generated code
Practical Exercises and Real-World Applications
- Automating CI/CD workflows for web applications
- Developing reusable GitHub Action templates
- Facilitating team collaboration via Copilot across multiple repositories
Conclusion and Future Directions
Requirements
- Foundational knowledge of software development principles
- Working familiarity with Git and version control systems
- Entry-level proficiency with YAML, shell scripting, or CI/CD tools
Target Audience
- Developers aiming to enhance DevOps efficiency
- Novices in DevOps and automation enthusiasts
- Agile team members seeking AI integration in their daily workflows
Testimonials (2)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
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