---
title: 30 Days of GenAI
emoji: 🤗
colorFrom: green
colorTo: purple
app_file: index.html
tags:
- generative-ai
- huggingface
- 30-days-of-genai
- learning-journey
- arabic
---
# 🧠 30 Days of GenAI with Hugging Face

Welcome to my personal 30-day journey of learning, building, and contributing to Generative AI using Python and Hugging Face 🤗.

## 🎯 Goal
To deepen my understanding of Gen AI, complete the Hugging Face course, build real mini-projects, and eventually contribute an Arabic translation of the LLM course to support the open-source community.

## 📅 Progress Tracker

| Day | Topic | Notebook | Log |
|-----|-------|----------|-----|
| 1 | First HF pipelines | [Colab](https://colab.research.google.com/drive/1ysW0sQq01mI9o5uVyaLMM5oCT3pDI41e?usp=sharing) / [Repo](notebooks/day1.ipynb) | [Day 1 Log](logs/day1.md) |
| 2   | Beyond Default | [Colab](https://colab.research.google.com/drive/1h9AC5_Oe5eXtD0zkHdPo64aHG_9hapwD?usp=sharing) / [Repo](notebooks/day2.ipynb) | [Day 2 Log](logs/day2.md) |
| 3   | Summarization & Translation Deep Dive | [Colab](https://colab.research.google.com/drive/1CuD1NErkmrTRebbnXnFl5tLxG-A0NHnD?usp=sharing) / [Repo](notebooks/day3.ipynb) | [Day 3 Log](logs/day3.md) |
| 4   | Expanding NLP Horizons | [Colab](https://colab.research.google.com/drive/1sFWhIznoMSd_RjoNk0c1bGNPUBgEnQz-?usp=sharing) / [Repo](notebooks/day4.ipynb) | [Day 4 Log](logs/day4.md) |
| 5   | ... coming soon... | - | - |


## 🔧 Tech Stack
- Python
- Hugging Face Transformers
- Google Colab
- PyTorch

## 🤝 Why I'm Doing This
I've always felt drawn to AI and Python. This challenge helps me stay focused while building meaningful skills that can one day help others — especially Arabic-speaking developers.

## 📌 Coming Soon
- Demo projects using Hugging Face Spaces
- Arabic translation contribution for the LLM course
- Reflections on the learning journey

## 🤗 Want to Contribute or Follow Along?

Feel free to fork this repo, suggest improvements, or follow along with your own 30 Days of GenAI journey. Let’s grow together!

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*Made with 💻 Python, 🤗 Hugging Face, ☕️ Coffee, and ❤️ for learning.*