GPU Programming with CUDA

Direct GPU control for custom kernels: essential when PyTorch abstractions aren't enough. This comprehensive curriculum is designed to give you hands-on experience with GPU Programming with CUDA. This HPC & ML Infrastructure Engineers curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 6 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.