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Course Outline

Introduction to GitHub Copilot

  • Understanding AI pair programming concepts
  • Exploring the capabilities and boundaries of GitHub Copilot
  • The Copilot ecosystem: covering IDEs, CLI, PRs, and Chat

Initial Setup

  • Installing and configuring GitHub Copilot in VS Code, JetBrains, and Neovim
  • Authenticating with GitHub and managing subscription details
  • Reviewing Copilot settings and user preferences

Effectively Utilizing GitHub Copilot

  • Producing code completions, functions, and boilerplate
  • Working with multi-line and context-aware suggestions
  • Adjusting and refining Copilot outputs
  • Creating comments and documentation with Copilot assistance

Copilot Chat and Collaborative Features

  • Employing Copilot Chat for API discovery and code refactoring
  • Debugging and resolving issues using Copilot Chat
  • Leveraging Copilot in Pull Requests for suggestions and code reviews

Advanced Workflows with Copilot

  • Incorporating Copilot into CLI-based workflows
  • Applying Copilot in test-driven development practices
  • Integrating Copilot with various frameworks and libraries

Responsible and Secure Usage

  • Grasping licensing, privacy, and intellectual property implications
  • Addressing risks associated with insecure or biased code
  • Adopting best practices for enterprise-wide and team adoption

Best Practices and Case Studies

  • Enhancing productivity with Copilot in everyday development tasks
  • Real-world examples of Copilot application across different programming languages
  • Insights and success stories from teams utilizing Copilot

Conclusion and Future Directions

Requirements

  • Foundational programming proficiency in at least one language (e.g., Python, JavaScript, Java, C#)
  • Experience with using an IDE or code editor (such as VS Code or JetBrains)
  • Basic understanding of Git and GitHub workflows is advantageous

Target Audience

  • Developers
  • Programmers
  • Software engineers
 14 Hours

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