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Learn AI with Python · Lesson

Git for AI Projects

git init, .gitignore for data/models, committing notebooks, DVC for data versioning.

Git in AI Projects

Git tracks changes to your code so you can collaborate, revert mistakes, and review history. But AI projects add a twist: huge data files and binary models do not belong in Git.

This lesson covers a sensible .gitignore and using DVC for data versioning.

What Git Tracks Well

Git shines with text: source code, configs, notebooks (with cleared outputs), and docs. It stores efficient diffs of text files.

It handles large binaries poorly — every version is stored in full, bloating the repository forever.

All lessons in this course

  1. Professional AI Project Directory Structure
  2. Git for AI Projects
  3. Reproducibility: Seeds, Configs, and Environments
  4. Jupyter Notebooks Best Practices
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