Content:

The course will consist of the following topics and may be extended or adapted based on the audience.
The examples in the course will focus on widely used programming languages, software architectures and frameworks.
For in-house courses there is a selection of programming languages and frameworks which can be chosen to better fit the audience.

– Introduction to GitHub Copilot for Enterprise Development:
... - Evolution from traditional AI assistants to GitHub Copilot
... - Understanding GitHub Copilot architecture and capabilities
... - Overview of Copilot, Copilot Chat, Copilot Workspace, and GitHub integration
– GitHub Copilot Setup and Configuration:
... - Installation and setup of GitHub Copilot in VS Code
... - GitHub Codespaces configuration and cloud development
... - GitHub Enterprise integration and license management
... - Enterprise security settings and code compliance
– GitHub Copilot Chat and Prompt Engineering:
... - Optimal chat interactions with GitHub Copilot
... - Building effective project contexts for GitHub models
... - Defining GitHub-specific rules and guidelines
... - Leveraging GitHub repository context and issue integration
– Working with Existing Codebases in GitHub Copilot:
... - Strategies for code analysis with GitHub models
... - Code comprehension and automatic documentation generation
... - Refactoring and optimization with GitHub Copilot support
... - Migrating existing projects to GitHub Copilot workflows
– Practical Development Tasks with GitHub Copilot:
... - Debugging and problem-solving with Copilot Chat
... - Feature implementation in existing applications
... - Test creation and validation with GitHub Copilot
... - Code review and pull request integration
– Frontend Development with GitHub Copilot:
... - Single page application development with Copilot support
... - UI/UX design and component generation
... - Browser integration and end-to-end testing
... - Responsive design and accessibility with GitHub Copilot
– Backend Development with GitHub Copilot:
... - REST API design and implementation
... - Database integration and schema design
... - Microservices architecture with GitHub Copilot
... - Performance optimization and monitoring
– GitHub Actions and CI/CD Integration:
... - Workflow automation with GitHub Actions
... - Copilot-assisted pipeline development
... - Integration of testing and deployment
... - Enterprise DevOps with GitHub Copilot
– GitHub Copilot Extensions and Customization:
... - Development of custom Copilot extensions
... - Integration of external services and APIs
... - Enterprise tool integration via GitHub Apps
... - Custom GitHub Actions for Copilot workflows
– GitHub Copilot Business vs. Enterprise:
... - Comparison of Copilot licensing models
... - Enterprise features and admin controls
... - Scaling and team management
... - Cost-benefit optimization for enterprises
– Advanced GitHub Copilot Techniques:
... - Workspace-based development with Copilot
... - Handling large codebases and legacy systems
... - Error recovery and iterative improvement
... - GitHub Copilot-specific best practices
– Enterprise GitHub Copilot Framework:
... - Building reusable GitHub Copilot workflows
... - Team collaboration and knowledge sharing
... - Security policies and compliance management
... - Integration into existing GitHub Enterprise environments

The course primarily focuses on GitHub Copilot in VS Code, GitHub Codespaces, and GitHub.com by Microsoft/GitHub. Alternative IDEs and deployment scenarios are discussed to provide a comprehensive enterprise perspective. The concepts and workflows taught are specifically optimized for GitHub ecosystems but can serve as a foundation for other agentic coding tools.

Disclaimer: The actual course content may vary from the above, depending on the trainer, implementation, duration and constellation of participants.

Whether we call it training, course, workshop or seminar, we want to pick up participants at their point and equip them with the necessary practical knowledge so that they can apply the technology directly after the training and deepen it independently.