This repository contains Colab-compatible Jupyter notebooks that provide an accessible, hands-on introduction to deep learning for biomolecular structure prediction and design. The series covers foundational ML concepts including neural networks, convolutional networks, graph neural networks, and diffusion models, then applies them to protein engineering using tools like AlphaFold, RFDiffusion, and ProteinMPNN. It aims to democratize AI for protein science and synthetic biology research.