This repository is a curated collection of tutorials covering major deep learning frameworks (PyTorch, TensorFlow, Keras, Theano, Caffe), machine learning libraries (scikit-learn), data science tools (pandas, matplotlib, numpy), and cloud platforms (AWS). It includes notebooks for neural networks, convolutional networks, probabilistic programming (Uber Pyro), and extends into industry applications in healthcare, transportation, and other domains. The materials are designed for GPU-accelerated AI development and serve as a learning resource for practitioners entering or advancing in the AI/ML field.