Start from neural network basics and move into CIFAR-10 Tiny CNN, convolution, pooling, softmax, and backpropagation.

Move from threat modeling into adversarial examples, poisoning, model privacy, and LLM/RAG/Agent controls.

A study route around K-means, Iris, K-means++, SSE, feature engineering, and model evaluation.

Observe algorithm execution through eight queens, backtracking, bitmasks, and the browser playground.

Move from a handwritten digit C classifier to browser demos and CIFAR-10 Tiny CNN work for portfolio-style AI projects.

Run interactive demos for eight queens, Iris K-means, handwritten digits, and related AI experiments.

Follow AI foundations, ML workflow, neural networks, handwritten digits, and CIFAR-10 CNN in order.