Structured learning paths that take you from beginner to proficient, one short lesson at a time, unit by unit.
A career-spanning roadmap from analytics-curious to mid-level Growth Engineer. The trunk gives you the complete throughline — measurement, experimentation, instrumentation, AARRR systems, monetization, GTM motions, and growth leadership — and clusters let you go deep on specific topics (Bayesian A/B testing, identity resolution, paid attribution, lifecycle email, dark patterns) when they matter.
A career-spanning roadmap for becoming the kind of leader people want to follow. The trunk gives you the throughline — self-awareness, communication, influence, team-building, coaching, and organizational leadership — and clusters let you go deep on classical theories, EQ mechanics, change frameworks, hiring, coaching models, and org design when they matter.
A career-spanning roadmap from absolute beginner to job-ready mid-level software engineer. The trunk gives you the complete throughline — the concepts, languages, systems, and professional skills every engineer needs — and clusters let you go deep on specific topics (Python, React, Kubernetes, system design, security, career strategy) when they matter.
A working understanding of how to start, validate, launch, and scale a real business. The trunk walks the founder arc from mindset and customer discovery through business models, MVPs, positioning, operations, sales, fundraising, and leadership. Clusters dive deep into the tactical playbooks behind each act — interview techniques, MVP fidelity, pricing, channels, term sheets, hiring, unit economics.
A non-technical curriculum that builds real understanding of AI — how it works, why it fails, and how to use it intelligently. No math, no code, just durable mental models that make you a confident, critical user of AI tools.
A comprehensive, 3-pillar curriculum that builds durable understanding of artificial intelligence and machine learning — from the mathematical foundations and classical algorithms, through modern deep learning architectures, to the societal implications of deploying AI in the real world. Emphasizes timeless principles over transient tools so knowledge remains valuable as the field evolves.
The foundation curriculum that prepares you for any university-level math course — calculus, linear algebra, discrete math, statistics. Builds symbolic fluency from variables and equations through functions, polynomials, exponentials, trigonometry, and the proof and set-theory groundwork that modern mathematics rests on.
A working mental model of the cosmos — how we actually know what we know (light, telescopes, spectra), what the solar system, stars, and galaxies are, how the universe began, and how the search for other worlds and life is going. The trunk gives you the full map; clusters dive into the naked-eye sky, observatories, the sun, the planets, black holes, cosmology, and alien worlds.
A working understanding of blockchain and Web3 — what these systems actually are, why they were built, and how the pieces (wallets, consensus, smart contracts, tokens, DeFi, NFTs, DAOs) fit together. The trunk gives you the orientation to follow any crypto conversation; clusters dive into cryptography, custody, consensus, smart-contract engineering, DeFi mechanics, NFTs/DAOs, and building dApps.
A working understanding of calculus — the mathematics of change and accumulation. The trunk gives you the throughline from limits and derivatives through the Fundamental Theorem to the borderlands where calculus hands off to analysis. Clusters dive into rigorous limits, integration techniques, multivariable and vector calculus, differential equations, series, and complex analysis.
A working understanding of cybersecurity — how attackers operate, how defenders push back, and the moving parts of every modern security program. The trunk gives you the throughline from threat model to defense to response; clusters dive into cryptography, network defense, web application security, secure coding, penetration testing, incident response, cloud security, and governance.
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).
A working understanding of discrete mathematics — the math of countable, structural objects: sets, logic, counting, graphs, integers, algorithms. The trunk gives you the toolkit; clusters dive into combinatorics, graph algorithms, number theory, logic and computation, cryptography, and information theory.
A working understanding of how economies actually behave — how scarcity drives choice, how markets allocate resources (and fail to), how money and policy steer the macroeconomy, and how trade, behavior, and institutions shape long-run prosperity. The trunk gives you the throughline a literate citizen needs; clusters dive into elasticity, market failures, consumer/producer theory, monetary and fiscal policy, trade policy, behavioral finance, and economic history.
A coherent, mechanistic picture of how the Earth actually works as a coupled system — its biogeochemical cycles, climate physics, ecosystems, pollution pathways, and the leverage points where solutions live. The trunk gives you the throughline a working professional needs to reason about environmental claims; clusters dive into circulation, ecology, paleoclimate, climate modeling, pollution, energy, and mitigation.
A working understanding of finance and investing — how capital markets price risk, how companies create value, how investors build portfolios, and where the math meets human psychology. The trunk gives you the throughline; clusters dive into financial statements, valuation, corporate finance, bonds, portfolio construction, derivatives, and behavioral finance.
A working understanding of game theory — the study of how rational agents make decisions when outcomes depend on each other's choices. The trunk gives you the core solution concepts and vocabulary; clusters dive into auctions, bargaining, evolutionary games, mechanism design, and where the rational-actor model fails.
A working understanding of human history — from the first hominids to the global world we live in now. The trunk walks the throughline most people never got: how civilizations actually emerge, why empires rise and fall, and how the modern world was made. Clusters dive into the cities, classical mind, slave trade, revolutions, world wars, and how historians actually do their job.
How markets, brokers, and order books actually work — and what the evidence says about trying to beat them. The trunk covers market mechanics, asset classes, leverage, and the risk math every participant needs; clusters dive into microstructure, execution, the retail arenas, sizing math, psychology, manias, and strategy evidence.
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 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.
A working understanding of linear algebra — vectors, matrices, eigenvalues, and the decompositions that power modern data, graphics, and AI. The trunk gives you the geometric and algebraic core; clusters dive into vector spaces, systems and rank, eigentheory, orthogonality and projections, applications, and numerical computation.
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 working understanding of mathematics — the universal language scientists, engineers, and quants use to describe the world. The trunk gives you the throughline from how mathematicians think to how math models reality; clusters dive into proof, trig, calculus mechanics, advanced linear algebra, number theory and cryptography, probability, stochastic processes, and the foundational limits of math itself.
A working understanding of how music is built — the twelve-note system, intervals, scales, keys, chords, harmony, rhythm, and form. The trunk gives you the complete map from a single note to a finished song; clusters dive deep into modes, the circle of fifths, chord construction, progressions, rhythm, melody, and form.
A working understanding of the natural world — what science is, how matter and energy behave, how life persists and changes, and how Earth and the cosmos fit together. The trunk gives you a single coherent throughline across physics, chemistry, biology, and earth/space science; clusters dive into experimental design, mechanics, thermodynamics, electromagnetism, modern physics, genetics, ecology, and climate.
A working understanding of how the brain actually works at the level of mechanism — neurons firing, chemicals crossing synapses, regions specializing, circuits adapting. The trunk takes you from a single cell's electrical signal up through brain anatomy, sensation, movement, plasticity, memory, sleep, and emotion; clusters dive into molecular signaling, the neurochemical systems, sensory neuroscience, plasticity and repair, the cognitive brain, the diseased brain, and the tools that let us see any of it.
The financial life skills nobody actually taught you — money psychology, budgeting, debt, credit, taxes, insurance, retirement accounts, and the math of financial independence. Walk the trunk and you have a system; pull on a cluster when something specific matters.
A guided tour through philosophical thinking — how to reason carefully, evaluate arguments, navigate ethics, and engage with the great questions about knowledge, reality, mind, and society. The trunk gives you orientation across the whole field; clusters dive deep on logic, ethics, epistemology, metaphysics, mind, politics, and the history of ideas.
A working understanding of probability and statistics — how to reason under uncertainty, turn data into claims, and recognize when those claims are honest. The trunk gives you the core vocabulary and the inference pipeline; clusters dive into Bayesian reasoning, frequentist theory, regression, stochastic processes, and experimental design.
A practical track that takes you from zero to shipping working software. The trunk gives you the throughline — how to think in code, write a program, and put it in front of users — and clusters dive deep into thinking tactics, Python craft, engineering for change, real-world shipping, and working alongside AI assistants without letting them put garbage in your codebase.
A working understanding of psychology — what the science actually claims about how minds, brains, and behavior fit together. The trunk gives you the orientation a literate professional needs (how psychology knows what it knows, the brain behind behavior, learning, memory, decision-making, emotion, personality, social influence, development, pathology, and what therapy does); clusters dive into research methods, perception, cognition mechanics, social influence tactics, the field guide of disorders, applied behavioral science, and the psychology of everyday life.
How real estate actually works — as an asset class and as a transaction. The trunk covers ownership and title, mortgages and leverage, valuation, the buy/sell process, rentals and landlording, taxes, development, and REITs; clusters go deep on the math and mechanics.
A working understanding of the craft of selling — buyer psychology, discovery, qualification, objection handling, negotiation, and pipeline math. The trunk walks one complete deal motion from prospect to close to expansion; clusters dive into outbound mechanics, discovery frameworks, objection playbooks, negotiation, founder-led sales, and enterprise deals.
A practical, 4-pillar skill track that takes you from zero to shipping. You will learn to think in code, master one language deeply (Python), turn scripts into real software with tests and version control, and put your work in front of users with a deploy, a database, and modern AI-assisted workflows. Deliberately narrower than a role-track CS degree: if the question is 'can I build and ship software,' this is the answer.