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Duration 14 hours
Course Outline
Introduction to the GitHub Copilot Platform
- Overview of AI-assisted pair programming methodologies
- Evaluation of functional capabilities and operational limitations of GitHub Copilot
- Examination of the Copilot ecosystem, including IDE integrations, command-line interfaces, pull request support, and chat interfaces
Initial Setup and Deployment
- Installation and configuration of GitHub Copilot within Visual Studio Code, JetBrains products, and Neovim environments
- Authentication protocols with GitHub services and management of subscription tiers
- Review of available Copilot settings and user preference controls
Optimizing GitHub Copilot Usage
- Generation of code completions, function definitions, and boilerplate structures
- Management of multi-line and context-sensitive code suggestions
- Customization and refinement of AI-generated output for accuracy and style
- Creation of code comments and technical documentation via Copilot assistance
Copilot Chat and Collaborative Features
- Utilization of Copilot Chat for API discovery and code refactoring tasks
- Debugging procedures and error troubleshooting using Copilot Chat
- Integration of Copilot within Pull Request workflows for suggestions and code review support
Advanced Integration Workflows
- Incorporating Copilot into command-line interface (CLI) operational workflows
- Application of Copilot in test-driven development (TDD) cycles
- Pagination of Copilot with specialized frameworks and software libraries
Responsible and Secure Deployment
- Analysis of licensing, privacy, and intellectual property implications for government
- Mitigation strategies for risks associated with insecure or biased code generation
- Establishment of best practices for enterprise and team-level adoption
Best Practices and Applied Case Studies
- Strategies for maximizing productivity in daily development tasks using Copilot
- Illustrative examples of Copilot application across diverse programming languages
- Documentation of lessons learned and success stories from teams utilizing Copilot
Summary and Recommended Next Steps
Requirements
- Foundational programming knowledge in at least one language (e.g., Python, JavaScript, Java, C#)
- Proficiency in using an IDE or code editor (such as Visual Studio Code or JetBrains)
- Basic understanding of Git and GitHub workflows is recommended
Target Audience
- Developers
- Programmers
- Software engineers
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