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Course Outline
Introduction to GitHub Copilot
- Overview of AI pair programming.
- Capabilities and limitations of GitHub Copilot.
- The Copilot ecosystem: IDEs, CLI, Pull Requests (PRs), and Chat.
Getting Started
- Installing and configuring GitHub Copilot in VS Code, JetBrains, and Neovim.
- Authenticating with GitHub and managing subscriptions.
- Exploring Copilot settings and preferences.
Using GitHub Copilot Effectively
- Generating code completions, functions, and boilerplate.
- Working with multi-line and contextual suggestions.
- Customizing and refining Copilot output.
- Writing comments and documentation with Copilot.
Copilot Chat and Collaboration Features
- Using Copilot Chat for API exploration and refactoring.
- Debugging and troubleshooting with Copilot Chat.
- Copilot in Pull Requests: suggestions and code reviews.
Advanced Workflows with Copilot
- Integrating Copilot into CLI workflows.
- Using Copilot with test-driven development.
- Pairing Copilot with frameworks and libraries.
Responsible and Secure Usage
- Understanding licensing, privacy, and intellectual property considerations.
- Mitigating risks of insecure or biased code.
- Best practices for enterprise and team adoption.
Best Practices and Case Studies
- Maximizing productivity with Copilot in day-to-day development.
- Real-world examples of Copilot usage across languages.
- Lessons learned and success stories from teams using Copilot.
Summary and Next Steps
Requirements
- Foundational programming knowledge in at least one language (e.g., Python, JavaScript, Java, C#).
- Familiarity with using an IDE or code editor (such as VS Code or JetBrains products).
- Basic understanding of Git and GitHub workflows is advantageous.
Target Audience
- Developers
- Programmers
- Software engineers
14 Hours
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