How to Clone the Microsoft AI For Beginners Repository: Complete Guide with Sparse Checkout
To clone the Microsoft AI For Beginners repository, use either a standard git clone for everything or a sparse-checkout clone to download only the core curriculum while skipping 50+ translation folders.
The AI For Beginners repository from Microsoft is a comprehensive machine learning curriculum containing notebooks, labs, and educational materials spread across many directories. However, its size—including over 50 language translation folders and binary assets—makes a full clone unnecessarily heavy for most learners. This guide shows you two methods to clone AI For Beginners, from the full download to the recommended lightweight approach.
Standard Clone: Get Everything Including Translations
If you need access to all translations and every file in the curriculum, perform a regular clone:
git clone https://github.com/microsoft/AI-For-Beginners.git
This downloads the complete repository including translations/, translated_images/, lessons/, examples/, and all other directories. Expect larger download times and disk usage.
Sparse-Checkout Clone: Recommended for Most Learners (Faster)
The preferred method documented in the repository's [README.md](https://github.com/microsoft/AI-For-Beginners/blob/main/README.md) uses Git's partial clone and sparse-checkout features. This fetches only the lessons/ folder and core files while excluding heavy translation directories.
Linux/macOS Commands
git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
cd AI-For-Beginners
git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
Windows CMD Commands
git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
cd AI-For-Beginners
git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
What These Flags Do
| Flag | Purpose |
|---|---|
--filter=blob:none |
Enables partial clone; delays downloading file contents until needed |
--sparse |
Initializes sparse-checkout mode immediately |
--no-cone |
Uses full pattern matching instead of cone mode for precise exclusions |
'/*' |
Includes all top-level files and directories |
'!translations' '!translated_images' |
Excludes these specific directories from checkout |
This approach dramatically reduces initial download size while preserving full functionality for running the curriculum locally.
Setting Up Your Environment After Cloning
Once you've cloned AI For Beginners, configure the Python environment using the provided [environment.yml](https://github.com/microsoft/AI-For-Beginners/blob/main/environment.yml):
conda env create -f environment.yml
conda activate ai4beg
jupyter lab
For detailed environment setup instructions, see [lessons/0-course-setup/setup.md](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/0-course-setup/setup.md).
Key Files and Directories
| Path | Description |
|---|---|
lessons/ |
Core curriculum notebooks and labs |
examples/ |
Quick-start code samples including Hello AI World and Simple Neural Network |
etc/quiz-app/ |
Vue.js quiz application for testing knowledge |
environment.yml |
Conda environment with all dependencies |
Summary
- Standard
git clonedownloads everything including translations—use only if you need multilingual content. - Sparse-checkout clone is the recommended way to clone AI For Beginners efficiently—it skips
translations/andtranslated_images/while keeping all functional curriculum materials. - Both methods use the same repository URL:
https://github.com/microsoft/AI-For-Beginners.git - After cloning, activate the conda environment from
environment.ymland launch Jupyter to begin learning.
Frequently Asked Questions
Do I need the translations folder to complete the course?
No. The translations/ directory contains localized versions of README files in 50+ languages. The core curriculum in lessons/ including all Jupyter notebooks, code, and exercises is fully functional without translations. The sparse-checkout method documented in the repository's README.md is specifically designed for learners who want English or prefer faster setup.
Why is my git clone taking so long for AI For Beginners?
The repository exceeds several gigabytes when fully cloned due to accumulated translation assets and binary files. Use the --filter=blob:none --sparse approach to reduce initial download to a fraction of the size. Git will fetch additional content on-demand only when you access specific files.
Can I add translations back after a sparse-checkout clone?
Yes. Run git sparse-checkout set --no-cone '/*' inside the repository to include all directories, or selectively add translations with git sparse-checkout add translations. The partial clone remains efficient—content downloads only when you actually check out those paths.
What Git version do I need for sparse checkout?
Git 2.25 or later supports --sparse and sparse-checkout commands. Check your version with git --version. The --filter=blob:none partial clone feature requires Git 2.22+. Most modern Git installations meet these requirements.
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