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OPEN ACADEMY · FREE COURSES
Gigafactory, battery and advanced-manufacturing coursework first, followed by open-access MIT, Harvard and Yale material.
Capital intensity, learning-curve cost decline, and the throughput economics that decide whether a 40 GWh plant pays back inside a decade.
From brine and hard-rock lithium through cathode precursor to cell assembly — where the bottlenecks sit and how to read a gigafactory's upstream exposure.
Kinematics, cell design, and line balancing for high-volume robotic assembly, with worked examples from automotive body and battery-pack lines.
NMC versus LFP versus sodium-ion tradeoffs, degradation mechanisms, and the thermal design envelope that governs pack safety and cycle life.
Cobalt, nickel, graphite and rare-earth flows; refining concentration; and the policy levers reshaping where cells are made.
Takt time, WIP limits, and constraint theory applied to continuous high-volume production lines.
Load profiles of a gigawatt-scale plant, substation planning, on-site storage, and demand-response revenue.
Process water recycling, stormwater containment, and the setback geometry behind a compliant buffer zone.
WACC build-up, project finance structures, and sensitivity analysis for capital-intensive manufacturing assets.
Permitting pathways, emissions disclosure, and the stakeholder mapping that determines whether a plant keeps its social licence.
Graph search, adversarial search, knowledge representation, machine learning, and neural networks using Python.
A rigorous introduction to programming with Python, from functions and loops to object-oriented design and testing.
Harvard's flagship introduction to computer science and programming: abstraction, algorithms, data structures, and web development.
MIT 8.01SC. Newtonian mechanics, work and energy, momentum, and rotational dynamics with worked examples.
Yale ECON 252. Robert Shiller on risk management, behavioral finance, and the institutions of modern capital markets.
MIT 6.006. Data structures and algorithms: sorting, hashing, graphs, shortest paths, and dynamic programming, with full lecture videos and problem sets.
MIT 6.0001. Programming fundamentals for students with little prior experience, taught in Python.
Yale PSYC 110. Paul Bloom on perception, memory, emotion, development, and social behavior.
Michael Sandel's landmark course on moral and political philosophy: utilitarianism, liberty, and the common good.
MIT 18.06. Gilbert Strang's foundational course on vector spaces, matrices, eigenvalues, and least squares.
MIT 14.01. Supply and demand, consumer choice, market structure, and the economics of public policy.
Yale GG 140. Atmospheric and oceanic circulation, the carbon cycle, and the science behind environmental change.