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 Duration 14 hours

Course Outline

Module 1 – Advanced Git & GitHub Workflows

  • Deep dives into advanced Git concepts and robust repository management
  • Comparing branching strategies: GitFlow versus trunk-based development
  • Techniques for rebasing, merging, and cherry-picking commits
  • Utilizing interactive rebase for cleaner history
  • Strategies for managing and resolving intricate merge conflicts
  • Version management through tags and releases
  • Investigating Git history and recovering from errors
  • Best practices for maintaining efficiency in large development teams

Module 2 – Advanced Pull Requests & Collaboration

  • Structuring effective pull request lifecycles
  • Leveraging draft pull requests and implementing structured review strategies
  • Implementing CODEOWNERS for responsibility assignment
  • Configuring branch protection rules and rulesets
  • Enforcing required reviews and status checks
  • Tactics for handling large, long-running pull requests
  • Standardizing processes using issue and pull request templates
  • Utilizing GitHub Projects for tracking
  • Managing teams, permissions, and overall repository governance
  • Practical exercise: Architecting an enterprise-grade collaboration workflow

Module 3 – GitHub Actions & CI/CD

  • Understanding the underlying architecture of GitHub Actions
  • Configuring workflows, jobs, steps, and event triggers
  • Managing secrets, variables, and deployment environments
  • Implementing conditional execution and job dependencies
  • Using matrix strategies for parallel testing
  • Optimizing performance with artifacts and caching
  • Creating reusable workflows and composite actions
  • Debugging and optimizing workflow performance
  • Constructing robust CI pipelines
  • Setting up automated testing and build processes
  • Managing multi-environment deployment strategies
  • Automating the release process
  • Practical exercise: Developing a complete end-to-end CI/CD pipeline

Module 4 – GitHub Security & Automation

  • Exploring built-in GitHub security features
  • Managing dependencies with Dependabot
  • Implementing dependency review processes
  • Utilizing secret scanning and push protection to prevent leaks
  • Integrating code scanning tools
  • Defining security policies and managing vulnerabilities
  • Addressing supply-chain security risks
  • Working efficiently with the GitHub CLI
  • Overview of the GitHub REST API
  • Configuring webhooks and external integrations
  • Automating the handling of repositories, issues, and pull requests
  • Practical scenarios focused on security and automation

Module 5 – End-to-End GitHub Workflow

  • Designing a holistic GitHub development lifecycle
  • Establishing repository structure and branching strategies
  • Refining the pull request and code review process
  • Integrating automated testing suites
  • Connecting the CI/CD pipeline
  • Embedding security checks into the workflow
  • Streamlining release management
  • Techniques for troubleshooting and performance optimization
  • Team-based practical exercise
  • Course summary and Q&A session

Optional Module – GitHub Copilot

  • Introducing GitHub Copilot capabilities and integrated workflows
  • Using Copilot Chat and IDE integrations
  • Crafting effective prompts for development tasks
  • Leveraging code generation and explanation features
  • Assisting with refactoring and optimization
  • Automating the generation of unit tests
  • Utilizing Copilot for debugging assistance
  • Generating technical documentation
  • Incorporating Copilot into pull requests and code reviews
  • Guidelines for responsible and secure use of AI-generated code
  • Hands-on exercises with Copilot

Requirements

To participate effectively, candidates are expected to have:

  • Hands-on experience working with Git and GitHub
  • A solid grasp of core concepts such as repositories, branches, commits, and pull requests
  • Basic exposure to GitHub Actions, though this is advantageous rather than mandatory
  • General familiarity with standard software development lifecycles

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