This repository is structured as a comprehensive learning guide for becoming an AI engineer. It contains Jupyter notebooks that progress from mathematical foundations through PyTorch basics, building neural networks from scratch, understanding transformer architectures, and implementing RAG systems. The content includes hands-on implementations of attention mechanisms, optimizers, and OCR capabilities.