- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- Core Tech
Git in Practice
This path builds expert-level Git and GitHub engineering capability by guiding learners through the high-pressure scenarios of modern team development; from surgical history recovery to enterprise-scale repository architecture. Learners move beyond basic version control workarounds to gain the operational confidence required to manage AI-generated code artifacts, architect scalable monorepos, and optimize high-performance development environments for massive, distributed codebases.
Content in this path
Advanced Git Engineering and Mastery
Dive deep into the mechanics of high-stakes version control. This section provides hands-on engineering strategies to handle real-world codebase friction. You will learn to surgically isolate and resolve complex multi-file conflicts, manage dependencies across large organizational structures, optimize local performance for massive repositories, and safely audit code generated by both human teams and AI agents.
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What You'll Learn
- Perform surgical history recovery and resolve complex multi-file merge conflicts using the Git Reflog and advanced merge strategies.
- Architect scalable repository ecosystems while optimizing performance for massive codebases using monorepo patterns, sparse checkouts, and Git LFS.
- Engineer modern development workflows by managing AI-generated code artifacts and conducting high-precision reviews through structural diff analysis.
- Learners should possess professional-level fluency in foundational version control and be comfortable navigating the Command-Line Interface (CLI) to manage complex, multi-branch workflows. This path assumes learners have extensive experience with the GitHub Pull Request lifecycle and are ready to move beyond common workarounds (like force-pushing or re-cloning) toward surgical history recovery. Prior completion of the GitHub Foundations path is required, as this series assumes mastery of the GitHub UI and focuses on intermediate-to-advanced technical scenarios, including monorepo architecture and performance engineering. Basic familiarity with AI coding tools (e.g., GitHub Copilot) and a scripting language (e.g., Bash or PowerShell) is highly recommended for the modernization and automation components of the series.
- Architecture
- Git
- Performance
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