Stanford has opened training materials on programming and AI

Stanford University has published under the Creative Commons license the contents of ten training courses in programming, artificial intelligence, linear systems and optimization. Teachers and students from all over the world can take advantage of these unique materials.

Each course contains video recordings of lectures, full texts and abstracts, as well as practical exercises and examination tickets. The materials almost completely coincide with the program according to which full-time students study at Stanford. To download materials, no registration or special request is required. They are simply laid out in open access in ZIP archives of approximately 300 MB, and the videos are still duplicated on YouTube.


Introduction to Computer Science
Programming Methodology- CS106A
Abstract programming concepts - CS106B Programming
paradigms - CS107

Artificial intelligence
Introduction to robotics - CS223A
Natural language processing - CS224N
Machine learning - CS229

Linear systems and optimization
Fourier transform and its application - EE261
Introduction to linear dynamical systems - EE263
Convex optimization I - EE364A
Convex Optimization II - EE364B

License Attribution-Noncommercial-Share Alike 3.0 Unported allows any modification of the materials, but requires a link to the original and permits to publish the derived product only under the same license. It is also forbidden to use it for commercial purposes (that is, to take money for training in these courses, for example).

via Device Guru