Artificial Intelligence
From the math underneath to the models on top, and the protocols that wire them into real software.
Math for AI
The linear algebra, calculus and probability that every model quietly depends on.
Coming soon
Linear Algebra Essentials
Vectors, matrices and dot products: the language models think in.
Neural Networks
How networks actually learn: neurons, layers, loss and backpropagation.
Coming soon
From Perceptron to Backprop
Build a network neuron by neuron and watch gradients flow backwards.
Large Language Models
Tokens, attention and transformers: what happens between your prompt and the reply.
Coming soon
How Transformers Work
Tokenization, embeddings and self-attention, explained step by step.
AI Agents & Tooling
Giving models hands: tools, protocols and patterns for agents that act in the world.