GitHub Advanced – Advanced GitHub Development & Collaboration Training Course

Module 1 – Advanced Git & GitHub Workflows

• In-depth Git concepts and repository management
• Branching strategies: GitFlow vs. trunk-based development
• Rebasing, merging, and cherry-picking techniques
• Interactive rebase
• Managing and resolving complex merge conflicts
• Tags, releases, and version management
• Investigating Git history and recovering data
• Best practices for large-scale development teams

Module 2 – Advanced Pull Requests & Collaboration

• Designing effective pull request workflows
• Draft pull requests and review strategies
• CODEOWNERS configuration
• Branch protection and rulesets
• Required reviews and status checks
• Managing large and long-running pull requests
• Issue templates and pull request templates
• GitHub Projects
• Teams, permissions, and repository governance
• Practical exercise: designing an enterprise-style collaboration workflow

Module 3 – GitHub Actions & CI/CD

• GitHub Actions architecture
• Workflows, jobs, steps, and triggers
• Secrets, variables, and environments
• Conditional execution and job dependencies
• Matrix strategies
• Artifacts and caching
• Reusable workflows and composite actions
• Workflow debugging and optimization
• Building CI pipelines
• Automated testing and build workflows
• Multi-environment deployments
• Release automation
• Practical exercise: building an end-to-end CI/CD pipeline

Module 4 – GitHub Security & Automation

• GitHub security capabilities
• Dependabot and dependency management
• Dependency review
• Secret scanning and push protection
• Code scanning
• Security policies and vulnerability management
• Supply-chain security
• GitHub CLI
• GitHub REST API overview
• Webhooks and integrations
• Automating repositories, issues, and pull requests
• Practical security and automation scenarios

Module 5 – End-to-End GitHub Workflow

• Designing a comprehensive GitHub development workflow
• Repository and branching strategy
• Pull request and code review processes
• Automated testing
• CI/CD pipeline integration
• Security checks
• Release management
• Troubleshooting and optimization
• Team-based practical exercise
• Summary and Q&A

Optional Module – GitHub Copilot

• GitHub Copilot capabilities and workflow
• Copilot Chat and IDE integration
• Effective prompting techniques for developers
• Code generation and explanation
• Refactoring and optimization
• Generating unit tests
• Debugging with Copilot
• Documentation generation
• Copilot for pull requests and code review
• Responsible and secure use of AI-generated code
• Practical Copilot exercises