Introduction to Solid-State Chemistry
Sadoway's legendary chemistry of real materials — batteries included.
The open university catalog
Stream or download complete courses from MIT, Stanford, Harvard, Yale, Berkeley, and the IITs — plus full textbooks you read right here. Legally free, one click, forever.
The courses the internet fell in love with — Strang's linear algebra, Malan's CS50, Ng's machine learning. One click to lecture one.
185 of 185 courses · every one free, verified, and complete
Sadoway's legendary chemistry of real materials — batteries included.
How markets actually work — taught by a Nobel laureate who predicted two crashes.
The most popular university course in the world — now free to everyone.
The legendary CS61A, taught by the man who wrote the book.
IIT's complete deep learning course — from perceptrons to seq2seq.
The most-watched mathematics course ever recorded.
The most beloved intro CS course ever recorded.
Word vectors to transformers — the definitive NLP course.
Strategic thinking, taught with wit and midterms played as games.
Sorting, searching, hashing — the engine room of computer science.
The legendary Oppenheim lectures — Fourier, sampling, and everything after.
Supply, demand, and the logic of markets — from MIT's Economics department.
The course that launched a thousand careers — taught by Andrew Ng himself.
A seminar where the people who built transformers explain them.
Harvard's legendary ethics course — the first one ever put on the open web.
The gentlest possible on-ramp into computer science.
The complete A&P textbook — every system of the human body, from cells to reproduction, free and peer-reviewed.
The interactive deep learning textbook — every model runnable, every figure generated by code you can change.
The complete majors-biology textbook — from the chemistry of life to ecology — free, peer-reviewed, and used by millions.
The complete corporate finance textbook — time value of money, valuation, risk, and capital budgeting.
The complete two-semester economics sequence — micro and macro together — from the standard open textbook.
The canonical graduate text on convex optimization — from Stanford's Boyd & Vandenberghe, free to download.
The complete introduction to modern astronomy — from the night sky to cosmology — free from OpenStax.
Jurafsky & Martin's definitive NLP textbook, rewritten for the era of large language models — free in draft from Stanford.
IIT Kharagpur's flagship — among the most-watched NPTEL courses ever.
Transformers and DC machines — the first half of the power world.
American history from the first nations to the present — a complete, peer-reviewed open textbook.
Every building stands on soil — the IITs' geotechnical engineering course.
Statistics for business students — sampling, confidence intervals, regression, and forecasting, with business cases.
Two semesters of general chemistry — atoms to thermochemistry to electrochemistry — free and peer-reviewed.
University physics, volume 2 — heat, electricity, magnetism, and circuits, the calculus-based second semester.
The optimization course that industry keeps quietly stealing.
The complete entrepreneurship textbook — from opportunity recognition to funding, growth, and exit.
Why calculus is true — the IITs' rigorous construction of the real numbers.
From microbial cell structure to epidemiology and immunology — the complete open microbiology text.
The whole business landscape in one book — economics, marketing, finance, and entrepreneurship — free and current.
Strang beyond linear algebra — the applied math behind simulation.
Gilbert Strang's complete calculus textbook — the companion to his famous 18.01 lectures, free from MIT chapter by chapter.
The complete database course — ER diagrams to transactions.
Where 6.006 ends — amortization, randomness, and NP-completeness.
Why structures stand — stress, bending, and the margin of safety.
The mathematical launchpad between undergraduate math and machine learning — linear algebra, calculus, probability, and optimization in one book.
Sociology's core lens — from the sociological imagination to inequality, deviance, and social change — in one open book.
Management theory that respects practice — planning, organizing, leading, and controlling, free from OpenStax.
How images on your screen are really made — the IITs' graphics course.
The classic IIT Madras linear algebra course — vectors, matrices, eigenvalues, and the theorems every engineer and data scientist needs.
IIT Delhi on light and semiconductors — LEDs, lasers, and photodetectors, from first principles up.
The first course of every engineer — forces, bodies, and balance.
The machine under the compiler — pipelines, caches, and cores.
Chance, done properly — the math every data scientist needs.
From pixels to perception — the IITs' classic image processing course.
The full introduction to psychological science — biology of behavior through social psychology — free from OpenStax.
Automata, Turing machines, and what can never be computed.
Conduction, convection, radiation — the thermal engineering trilogy.
The mathematics inside every phone — DFT, FFT, and digital filters.
The engines of business — inventory, scheduling, and lean systems.
The IITs' complete quantum mechanics course — from the Schrödinger equation onward.
Search, games, and rational agents — home of the Pac-Man projects.
The mathematics computer science runs on — logic to graph theory.
Statistics the way it should be taught — descriptive through inferential, with real datasets, free and peer-reviewed.
The transistor-level craft — IIT Kanpur's complete analog chip design course.
Berkeley's famous intro to data science — no prerequisites, real inference.
Editing the code of life — the theory and tools of genetic engineering, from the IITs.
The IITs' Java course — among the most-enrolled in NPTEL history.
Modern C++ — classes, templates, and the STL, taught properly.
The internet, layer by layer — from the IITs' networking group.
Energy, entropy, and the laws that rule every engine.
The operating systems book the internet learned from — virtualization, concurrency, and persistence, one short chapter at a time.
The complete precalculus textbook — algebra, trigonometry, and analytic geometry, everything calculus assumes.
Andy Pavlo's database course — storage engines to query optimizers, from the people who build them.
Calculus taught the way MIT teaches it to freshmen.
IIT Delhi's modern AI survey — search, RL, NLP, and vision in one arc.
MIT's newest game theory course — strategic thinking for economists, from dominance and Nash equilibrium to mechanism design.
IIT Madras teaches machine learning to engineers and scientists — the same algorithms, taught for physical systems and scientific data.
IIT Guwahati's complete psychology foundations course — the science of mind and behavior, from neurons to social dynamics.
The starting line of electrical engineering — KVL to AC power.
Rice University's peer-reviewed university physics text — mechanics, waves, and thermodynamics, free and complete.
Stanford's survey of AI — search, games, MDPs, and machine learning under one roof.
Why organizations behave as they do — motivation, teams, and leadership, studied scientifically.
IIT Kharagpur on how money actually moves — banks, bond markets, equities, and the institutions that hold the system together.
IISc Bangalore on the physics of the devices the modern world runs on — from band diagrams to transistors, taught properly.
Organic chemistry as ideas, not flashcards — Yale's famous rethinking.
Sergey Levine's graduate course — the deepest open treatment of RL anywhere.
How code becomes machine code — lexers to optimizers.
The mathematics of everything that varies — audio to control.
Making machines behave — stability, root locus, and feedback.
Chemistry as physics — thermodynamics, kinetics, and the quantum rules.
The chemistry of energy — MIT's foundational physical chemistry course.
Make programs fast — cache hierarchies, concurrency, and the art of measurement.
MIT's graduate deep learning course — from backpropagation foundations to transformers, diffusion models, and the research frontier.
What governments should tax, spend, and regulate — MIT's applied economics of the public sector, with real policy throughout.
Vectors, surfaces, and the geometry of higher dimensions.
Cosmology's first three minutes — taught by the man who named inflation.
The rise and fall of classical Greece — from a master historian.
The mathematics of learning — regression to networks, all derived.
Converters and inverters — the electronics inside solar and EVs.
MIT's newest first course — Python for absolute beginners.
Molecular biology the MIT way — from DNA to developing embryos.
The science of networks — from PageRank to graph neural networks.
Why software projects fail — and the discipline that prevents it.
The engine of IIT Madras's online BSc degree — Python to algorithms.
Mathematical statistics done properly — estimation, testing, and asymptotics.
Statistics with social science questions attached — MIT's data analysis course for economics.
Why materials do what they do — IIT Madras' complete first course in materials.
Probability as storytelling — the famous Stat 110 lectures.
From C code to circuits — how computers actually work.
Freshman chemistry taught through the lens of real research.
Life at the molecular scale — proteins, enzymes, and metabolism.
The algorithms inside modern biology — taught at the Indian Institute of Science.
The mathematics of everything that changes — MIT's bridge course.
The mathematics of signal and image — a Stanford classic.
College algebra, complete and free — functions, exponentials, logarithms, and the algebra everything after depends on.
The mathematics of real markets — probability, linear algebra, and optimization, aimed straight at modern finance.
C++, recursion, and data structures — the classic follow-up to CS106A.
Newtonian mechanics from a physicist audiences love.
The classic IIT Kharagpur DSA lectures — stacks to spanning trees.
MIT Sloan's canonical finance course — valuation to portfolio theory.
Python as a way of thinking — the friendliest serious introduction to programming, now in its third edition.
The computers inside everything — microcontrollers, buses, and real-time design.
MIT's bridge from computation to proof — induction, graphs, counting, and probability, with the discrete structures CS runs on.
How the brain builds a world from light and sound — MIT Brain and Cognitive Sciences on the machinery of perception.
The most famous philosophy course on the internet.
From idea to venture — the IIT playbook for starting things.
Patrick Winston's legendary AI course — how to think about representing knowledge.
Stephen Boyd's own course — state-space systems, reachability, and least squares at work.
Build a large language model end to end — Stanford's course on how the machine is actually made.
Why is my program not faster? — the parallel computing course for the many-core era.
The mathematics of decisions — linear programming, queues, and optimization.
C, assembly, and the machine beneath your language.
C from first principles — the language the IITs teach first.
Derrida, Foucault, and the rest — finally made comprehensible.
Carbon's architecture — mechanisms over memorization, the IIT way.
How machines learn to learn — Chelsea Finn's graduate course on meta-learning.
Recreate Pong, Mario, and Zelda — game engines and design, taught at CS50 quality.
The clearest probability course on earth, taught by its textbook's author.
Dark matter, exoplanets, and black holes — taught through live debates.
The New Testament as literature and history — Yale's famously engaging close study.
MIT's studio course on designing games — mechanics, balance, prototyping, and playtesting, taught by building real games.
Proofs, graphs, and counting — discrete math as a contact sport.
How the mind works — the science, not the pop version.
Data analytics taught through real, messy, high-stakes cases.
How to build systems that survive failure — from the masters.
The mind, taught by one of its best explainers.
IIT Madras's classic ML survey — rigorous, examinable, free.
Python taught through games, puzzles, and real-world magic.
Virtualization, IaaS, and the engineering of the cloud — from IIT Kharagpur.
What makes us human? An fMRI tour of the mind's specializations.
Philosophy, psychology, and law in one course about being human.
Marx, Weber, Durkheim, and Freud — the toolkit of social thought.
Where engineering meets the body — implants, imaging, and drug delivery.
Agents that learn from consequences — taught with unusual rigor.
What Linux is actually doing — processes to file systems.
The field guide to the scientific Python stack — IPython, NumPy, pandas, Matplotlib, and scikit-learn from one of its core developers.
OpenStax's data science text — statistics meets computation, from data ethics to machine learning, free.
How to hear what composers are actually doing.
Three centuries of Europe, told by a storyteller at full gallop.
Marketing as a discipline — segmentation, brands, and metrics.
Calculus, volume 2 — integration techniques, differential equations, sequences and series, and parametric curves.
Calculus, volume 3 — vectors, partial derivatives, multiple integrals, and vector calculus, the complete third semester.
Paradise Lost, line by line — Yale's celebrated close reading of Milton.
Tudors, civil war, and ordinary lives — England's turbulent birth into modernity.
IISER Pune on the fundamental unit of life — membranes, organelles, DNA, and the molecular machines inside every cell.
When algorithms meet strategic humans — auctions, pricing, and the internet.
Machiavelli to Marx — who should rule, and why anyone gets to.
The course that taught the world to teach machines to see.
The newest OpenStax title — computer science from data representation to machine learning, free from day one.
MIT's OCW Scholar mechanics course — a complete first physics semester, built for self-study.
How Europe became Europe — Paul Freedman's irresistible history of late antiquity.
HTML to Django to React — modern web development, properly taught.
Finding structure in oceans of data — the IIT Kharagpur survey.
The 3D printing textbook — how additive manufacturing actually works, from processes and materials to economics.
Python from zero, the CS50 way — functions, loops, and real programs from week one.
Algorithms with the proofs kept in — the IIT Madras classic.
Herbert Gross's beloved 1970s refresher — vectors, partial derivatives, and multiple integrals, humanely taught.
Harvard's full-stack web course — Django, SQL, JavaScript, and React, taught by shipping project after project.
From Python basics to stochastic thinking and machine learning.
Search, knowledge, uncertainty, and learning — hands-on in Python.
The beloved sequel to MIT's intro CS course — graphs, stochastic thinking, optimization, and statistics, taught through Python.
Harvard's AI course for everyone who finished CS50x — search, knowledge, uncertainty, optimization, learning, and neural networks, in Python.
Databases from zero — the newest member of the CS50 family.
The open calculus text — functions, limits, derivatives, and integration, free from Rice University's textbook press.
Andrew Ng's applied deep learning course, freshly updated.
Strang's short course on the big picture of calculus — derivatives in five minutes, truly.
Harvard's practical guide to staying safe — and thinking like an attacker — with the CS50 production team behind it.
Two thousand years of Chinese history in one MIT course — from the Qin unification to the last emperors, taught with primary sources.
Not samples. Not trials. Complete semesters — lectures, problem sets, exams — and peer-reviewed textbooks, under licenses that let you watch, read, download, and keep them forever.
The movement that started it all. Every lecture, problem set, and exam from more than 2,500 MIT courses — published for the world, free forever.
The home of CS106A and the birthplace of modern machine learning teaching. Stanford publishes its most famous engineering courses on the open web.
CS50 — the largest on-campus course at Harvard and Yale combined — plus Statistics 110, free to the world with full problem sets and walkthroughs.
Open Yale Courses records full semester lectures — with transcripts, MP3 audio and MP4 video downloads for every single session.
The legendary CS61 series — taught by the professors who wrote the textbooks — with full lectures, labs, and projects published every semester.
A government-backed consortium of the Indian Institutes of Technology and IISc. 800+ complete engineering courses, with free certification exams.
Rice University's nonprofit textbook press: peer-reviewed, openly licensed books for physics, biology, economics, psychology, and more — used by millions of students.
The home of the Database Group's famously complete systems lectures — Andy Pavlo's 15-445 is the internet's favorite deep dive into how databases actually work.
The internet's beloved faculty-written textbooks — Operating Systems: Three Easy Pieces, Mathematics for Machine Learning, Think Python — published free by the professors who wrote them.
Streaming from the world's best universities and educators
Atlas is deliberately simple: a catalog that streams and a catalog that downloads — no account wall between you and lecture one.
Filter by university, subject, and level. Every course in Atlas was hand-picked and link-verified — no dead links, no bait.
One click and lecture one is playing right here — streamed from the university's own channel, in full quality.
MIT hands you the entire course as a ZIP. Yale gives you MP3, MP4, and transcripts. Everything official, everything legal.
In 2001, MIT announced it would give away its course materials to the world. Colleagues thought MIT had lost its mind — why pay tuition if the courses were free? MIT's answer: the value of an education was never in the lecture notes. It was in the people, the lab, and the degree. And the world's knowledge, they believed, should not sit behind a gate.
Twenty-five years later, OpenCourseWare is a movement: 2,500+ MIT courses, all of Open Yale, NPTEL from every Indian Institute of Technology — hundreds of thousands of hours, published under Creative Commons licenses that expressly permit you to watch, download, share, and keep them. This is not a loophole. It is the point.
Atlas exists to make that library feel the way it deserves to feel: as beautiful and as effortless as the knowledge inside it is deep.