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 Duration 14 hours

Course Outline

Module 1 – Advanced Git & GitHub Workflows

  • In-depth Git concepts and comprehensive repository management
  • Evaluating branching strategies: GitFlow compared to trunk-based development
  • Techniques for rebasing, merging, and cherry-picking
  • Utilizing interactive rebase for history refinement
  • Effectively managing and resolving complex merge conflicts
  • Implementing tags, releases, and version control strategies
  • Investigating Git history and performing data recovery
  • Adopting best practices suited for large-scale development teams

Module 2 – Advanced Pull Requests & Collaboration

  • Architecting highly effective pull request workflows
  • Implementing draft pull requests and structured review strategies
  • Configuring CODEOWNERS for accountability
  • Setting up branch protection rules and rulesets
  • Enforcing required reviews and status checks
  • Handling large-scale and long-running pull requests efficiently
  • Creating issue templates and standardized pull request templates
  • Leveraging GitHub Projects for task management
  • Managing teams, permissions, and overall repository governance
  • Hands-on exercise: designing an enterprise-grade collaboration workflow

Module 3 – GitHub Actions & CI/CD

  • Understanding the internal architecture of GitHub Actions
  • Defining workflows, jobs, steps, and trigger events
  • Managing secrets, variables, and environments securely
  • Implementing conditional execution and job dependencies
  • Utilizing matrix strategies for scalable testing
  • Optimizing artifacts and caching mechanisms
  • Building reusable workflows and composite actions
  • Debugging and optimizing workflow performance
  • Constructing robust CI pipelines
  • Implementing automated testing and build workflows
  • Executing multi-environment deployment strategies
  • Automating release processes
  • Hands-on exercise: constructing an end-to-end CI/CD pipeline

Module 4 – GitHub Security & Automation

  • Exploring GitHub’s built-in security capabilities
  • Managing dependencies effectively with Dependabot
  • Implementing dependency review processes
  • Securing code with secret scanning and push protection
  • Conducting code scanning for vulnerabilities
  • Establishing security policies and vulnerability management protocols
  • Enhancing supply-chain security practices
  • Using the GitHub CLI for automation
  • Overview of the GitHub REST API
  • Configuring webhooks and external integrations
  • Automating repository tasks, issues, and pull requests
  • Practical scenarios focused on security and automation

Module 5 – End-to-End GitHub Workflow

  • Designing a comprehensive GitHub development lifecycle
  • Defining repository and branching strategies
  • Refining the pull request and code review process
  • Integrating automated testing into the workflow
  • Building and maintaining CI/CD pipelines
  • Incorporating security checks into the pipeline
  • Streamlining release management
  • Troubleshooting issues and optimizing performance
  • Team-based practical exercise
  • Course summary and Q&A session

Optional Module – GitHub Copilot

  • Exploring GitHub Copilot’s capabilities and workflow integration
  • Utilizing Copilot Chat and IDE integrations
  • Crafting effective prompts for developer assistance
  • Leveraging code generation and explanation features
  • Assisting with refactoring and performance optimization
  • Generating unit tests automatically
  • Debugging code with Copilot support
  • Automating documentation generation
  • Enhancing pull requests and code reviews with Copilot
  • Practicing responsible and secure use of AI-generated code
  • Practical exercises with GitHub Copilot

Requirements

To fully benefit from this course, participants are expected to have:

  • Direct, practical experience working with Git and GitHub
  • A solid grasp of core concepts such as repositories, branches, commits, and pull requests
  • Foundational knowledge of GitHub Actions is advantageous, though not mandatory
  • General familiarity with standard software development lifecycles

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