Explore

Finished courses you can start right now, no account needed. Official ones are made by the Amos team; others were shared by members from courses they made.

Math

The essence of calculus

by Amos

Derivatives and integrals from the picture up: slopes, areas, the rules that fall out of them, limits made exact, and Taylor series.

Units: 17
Modules: 85
Use it at work: Deep

OfficialMath

Start

The essence of linear algebra

by Amos

Vectors, matrices as transformations of space, determinants, dot and cross products, change of basis and eigenvectors, seen before they're computed.

Units: 16
Modules: 76
Use it at work: Deep

OfficialMath

Start

Computer science

Neural networks

by Amos

How a network turns pixels into a guess, how it learns by gradient descent and backpropagation, and how transformers and attention power language models.

Units: 9
Modules: 44
Use it at work: Deep

OfficialComputer science

Start

Explore

Finished courses you can start right now, no account needed. Official ones are made by the Amos team; others were shared by members from courses they made.

Math

The essence of calculus

by Amos

Derivatives and integrals from the picture up: slopes, areas, the rules that fall out of them, limits made exact, and Taylor series.

Units: 17
Modules: 85
Use it at work: Deep

OfficialMath

Start

The essence of linear algebra

by Amos

Vectors, matrices as transformations of space, determinants, dot and cross products, change of basis and eigenvectors, seen before they're computed.

Units: 16
Modules: 76
Use it at work: Deep

OfficialMath

Start

Computer science

Neural networks

by Amos

How a network turns pixels into a guess, how it learns by gradient descent and backpropagation, and how transformers and attention power language models.

Units: 9
Modules: 44
Use it at work: Deep

OfficialComputer science

Start