Ready to pull back the curtain on how Netflix knows what you want to watch or how doctors use data to save lives? Week 1 is your entry point into the world of data science. You don’t need a background in computer science—just a curiosity for how things work and a basic understanding of algebra.

We start from the ground up, turning your laptop into a powerful laboratory where you’ll learn to speak the language of modern innovation.

• The Basics: Your New Toolkit Master the fundamentals of Python, the world’s most popular programming language for AI. You’ll get hands-on experience with NumPy for handling data and scikit-learn to build your very first predictive models.

• The Science: Teaching Machines to Learn Dive into the core logic of AI. You’ll explore Supervised Learning (teaching models with examples), Unsupervised Learning (finding hidden patterns), and Clustering to organize complex information.

• The Human Side: Ethics & Bias AI is powerful, but it isn't always neutral. We lead critical, open discussions on how bias creeps into algorithms and how you can build ethical AI that serves everyone fairly.

• Special Section: Empowering New Voices Diversity is the engine of innovation. We are proud to offer a dedicated section specifically for girls and gender minorities. Led by an all-female instructional team, this section covers the exact same rigorous curriculum in an environment designed to foster community, confidence, and connection. *Notice: Everyone is welcome to this section regardless of gender identity.

• The Goal: The Friday Showcase By Friday, you won’t just be a student—you’ll be a creator. You’ll present a functional machine learning project to your peers, mentors, and family, proving that you’ve mastered the mechanics "Under the Hood."

Level Up Your Logic

Ready to go deeper? Week 2 is designed for students who have completed Week 1 (in 2025 or 2026) and are hungry to tackle the most powerful frontier of computer science: Deep Learning. This week, we move beyond traditional statistics and into the architecture of the human brain—mimicking how we learn to see, speak, and make decisions through artificial neural networks.

What You’ll Master:

• The Industry Standard: Get your hands on PyTorch, the same deep learning framework used by researchers at companies like Meta, Tesla, and OpenAI.

• Multimodal AI: Learn how machines "see" by building Image Recognition models and how they "understand" language through Text Analysis and Natural Language Processing (NLP).

• The Cutting Edge: We pull back the curtain on Generative Models and Reinforcement Learning, exploring how AI can create new content and learn through trial and error in complex environments.

• Structured Data: Tackle massive datasets to find patterns that the human eye would miss, turning raw numbers into predictive power.

The Week 2 "Deep Dive" Project

Unlike Week 1, which features a two-day project, Week 2 is built around a three-day intensive final project (Wednesday–Friday). Starting Wednesday morning, you’ll pair up with mentors to design, train, and fine-tune a complex neural network. Whether you’re building a system to diagnose diseases from medical scans or a model to analyze the sentiment of thousands of social media posts, you’ll spend the week acting as a Lead AI Engineer.

The Goal: To emerge with a sophisticated project that proves you don’t just understand AI—you can build it from the ground up.