We design and deliver interdisciplinary courses and workshops that explore the technical foundations and societal implications of Artificial Intelligence (AI) and Machine Learning (ML).
Our materials are modular, discussion-driven, and tailored for learners from diverse academic backgrounds — no coding experience required.
📍 Visit our website to learn more:
👉 bridgingaiandsociety.org
From "What's Python?" to analyzing real datasets in just 3 hours!
- A beginner-friendly Python course focused on data science and AI applications.
- No prerequisites needed — ideal for anyone starting out.
- Learn practical skills: variables, data structures, NumPy, pandas, matplotlib, and data science workflows.
- Each notebook builds on the last, culminating in a real-world weather data analysis project.
- Includes setup scripts and instructions for virtual environments and Jupyter.
- Perfect for: Students, business professionals, researchers, and anyone curious about data science.
- ⭐️ Star the repo, fork it, and share your progress!
- See full course structure and details in the repo.
Hands-On-Notebooks 📓🧑💻
A curated collection of Jupyter notebooks to teach the fundamentals of machine learning.
- Beginner-friendly and designed for hands-on use in our interdisciplinary summer schools.
- Covers essential ML concepts including linear models, decision trees, random forests, and gradient boosting.
- Emphasizes visual intuition, experimentation, and interpretability.
- Notebooks are Colab-compatible — just click and run, no installation required.
- Local setup instructions for Anaconda, Docker, and virtual environments are included.
- Browse the notebooks and setup guide in the repo.
Coding-Project 👩💻👨💻💡
Advanced coding challenges for learners eager to go beyond the basics.
- A set of three themed projects that explore how AI intersects with real societal issues.
- Designed for learners who already understand the fundamentals and want to apply their skills to real-world datasets.
- Each challenge includes an educational notebook and can be completed in ~3 hours.
- Topics include: Wine Quality Prediction (AI for agriculture and food), Fake News Detection (NLP for media literacy), and Spam Filtering (AI for digital well-being).
- Hosted on Google Colab — just click and start coding.
- Explore the challenges and start building.
We welcome collaboration and feedback!
To learn more about our courses, teaching philosophy, or materials, visit our website 👉 bridgingaiandsociety.org