A concise collection of hands‑on AI tutorials and references for common tooling and workflows.
- Clone:
git clone https://github.com/GDGoC-SUP-COM/AI-tutorials-resources.git- Install: python -m venv .venv && .venv\Scripts\activate (or source .venv/bin/activate)
pip install -r requirements.txt - Open the tutorial folder and run the Jupyter notebooks or scripts.
- PyTorch — basics and model training
- LangChain — building LLM pipelines
- LlamaIndex — document indexing and retrieval
- RAG with Qdrant — vector search + retrieval-augmented generation
Each tutorial lives in its own folder with a README, notebooks, and example data. Follow folder README for usage.
Contributions welcome. Add tutorials as new folders, include a short README, example code, and tests/examples. Open a PR.