Probability & Statistics

Legal literacy — how law actually works. The trunk gives you the operating system: where law comes from, how courts and precedent work, contracts, torts, property, criminal vs civil, and constitutional structure. Clusters dive into reading cases, contract mechanics, IP, your rights with police, and the startup legal toolkit.

A comprehensive curriculum covering blockchain technology from foundational distributed ledger concepts through advanced Web3 development. Learners progress from understanding how blockchains work and why they matter, through cryptography, consensus mechanisms, smart contracts, DeFi protocols, NFTs, DAOs, and hands-on Web3 development. By the end, learners can evaluate crypto projects critically, read and reason about smart contracts, and build decentralized applications.

Build the universal mental model that every database is implemented against — the relational model, schemas and keys, indexes, transactions, concurrency, PostgreSQL architecture, production operations, modeling patterns, and the modern data ecosystem (NoSQL, distributed SQL, warehouses, vectors, streaming).

How machine learning actually works — from learning-as-optimization through the classical toolkit to deep learning and foundation models. The depth step after AI Fundamentals: real mechanics, no code or graduate math required.

A rigorous curriculum on the Earth as a coupled system — its biogeochemical cycles, ecosystems, climate, pollution pathways, and the sustainability and policy frontier. Built for working professionals who already had a weak intro environmental class and want a complete, mechanistic mental model: how the carbon cycle actually works, why climate models project what they do, where pollutants travel, and which interventions move planetary boundaries. Every course pairs scientific mechanism with a real-world implication so the learner can reason about environmental decisions, not just recite definitions.

A beginner-friendly curriculum that builds deep intuition for how AI actually works — not through math or code, but through mental models that make effective use a natural consequence of understanding. Covers how language models think, why they hallucinate, the art of prompting, practical AI workflows for writing, images, and code, and the societal shifts AI is driving. Designed for anyone curious enough to want more than tips and tricks.