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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
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