Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning. Code: 💻 https://github.com/Infatoshi/cuda-course 💻 https://github.com/Infatoshi/mnist-cuda Elliot on X - https://x.com/elliotarledge YouTube - https://www.youtube.com/@elliotarledge LinkedIn - https://www.linkedin.com/in/elliot-arledge-a392b7243/ Discord - https://discord.gg/JTTcFe7Pw2 ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:16:52) Chapter 1 (Deep Learning Ecosystem) ⌨️ (0:37:43) Chapter 2 (CUDA Setup) ⌨️ (0:47:03) Chapter 3 (C/C++ Review) ⌨️ (1:35:47) Chapter 4 (Intro to GPUs) ⌨️ (1:51:40) Chapter 5 (Writing your First Kernels) ⌨️ (3:55:26) Chapter 6 (CUDA API) ⌨️ (5:35:22) Chapter 7 (Faster Matrix Multiplication) ⌨️ (8:22:36) Chapter 8 (Triton) ⌨️ (9:04:43) Chapter 9 (PyTorch Extensions) ⌨️ (9:18:10) Chapter 10 (MNIST Multi-layer Perceptron) ⌨️ (11:41:13) Chapter 11 (Next steps?) ⌨️ (11:54:38) Outro