Master the integration of GitHub Copilot into your professional development workflow while maintaining ethical AI practices and responsible coding standards. The GH-300 course provides comprehensive hands-on experience with Copilot's capabilities, including intelligent code suggestions, interactive chat features, and command-line techniques, while emphasizing responsible and ethical use of AI in software development.
This hands-on, instructor-led course, GH-300: GitHub Copilot, delivers in-depth knowledge of GitHub Copilot functionality, with emphasis on incorporating AI-assisted coding into your development process. Course participants will learn to configure Copilot settings, develop effective prompts that generate quality code suggestions, and leverage sophisticated features such as Copilot Chat for collaborative coding and command-line interactions. The curriculum prioritizes responsible AI deployment, ensuring that AI-generated code adheres to ethical standards and best practices. By exploring Copilot applications throughout the development lifecycle and across different development environments, learners gain the knowledge to boost productivity while maintaining rigorous code quality.
Primary Learning Objectives:
- Master and apply principles of responsible AI utilization in development.
- Set up and optimize GitHub Copilot configuration for your workflow.
- Write effective prompts to enhance code suggestion quality.
- Access and utilize advanced Copilot features, including chat interactions and command-line operations.
- Create unit tests and seamlessly incorporate Copilot into testing processes.
- Compare Copilot plan options: Individual, Business, and Enterprise.
- Deploy best practices for managing and customizing Copilot across different development environments.
Who Should Enroll in GH-300: GitHub Copilot
- AI Engineers and AI-focused developers
- Data Scientists working with code generation
- Data Analysts building analytical scripts
- Business Managers overseeing technical teams
Comprehensive Course Outline and Topics
- Implementing Responsible AI with GitHub Copilot
- GitHub Copilot fundamentals and introduction
- Developing effective prompt engineering with GitHub Copilot
- Leveraging advanced GitHub Copilot capabilities
- GitHub Copilot Application Across Multiple Environments: IDE, Chat, and Command Line Operations
- Governance, management, and customization strategies with GitHub Copilot
- Real-world developer use cases and applications for AI with GitHub Copilot
- Creating and developing unit tests using GitHub Copilot tools
- GitHub Copilot Business: features and capabilities
- GitHub Copilot Enterprise: advanced team and organizational features
- Using GitHub Copilot with JavaScript
- Using GitHub Copilot with Python
