CUDA Courses and Certifications

IPhT-TV

Introduction to CUDA Programming for Physicists - Lecture 1

Explore CUDA programming fundamentals for physicists, covering essential concepts and techniques to leverage GPU computing in scientific applications.

• YouTube
• 2 hours 28 minutes
• Self-Paced
• Free Video

IPhT-TV

Introduction to CUDA Programming for Physicists - Lecture 4

Explore advanced CUDA concepts for physicists: reduction operations, specialized libraries, and optimizing GPU-accelerated computations for scientific applications.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

5 Minutes Engineering

CUDA Explained Five Minutes

Comprehensive overview of CUDA architecture, parallel computing, and programming model, covering key concepts and applications in an accessible Hindi-language format.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Nvidia

Advanced Multi-GPU Programming with OpenACC - Lecture 2

Explore advanced multi-GPU programming techniques using OpenACC and MPI, covering domain decomposition, communication overlap, and tools for debugging and profiling MPI+OpenACC applications.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

SNIAVideo

Programming Frameworks for xPU, GPU, and Computational Storage - A Comprehensive Overview

Explore programming frameworks for GPUs, xPUs, and computational storage devices, covering CUDA, SYCL, DOCA, and emerging standards for accelerated processing and host offload capabilities.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Nvidia

Getting Started with Multi-GPU Scaling: Distributed Libraries

Explore multi-GPU scaling strategies with NVIDIA's distributed libraries, learning how to efficiently scale beyond a single GPU and simplify the implementation process for accelerated computing.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

CppCon

Writing Portable C++ Programs for CPU and GPU

Master effective patterns for writing portable C++ code that runs seamlessly on both CPU and GPU architectures, covering conditional compilation, template instantiation, and function dispatching strategies.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Nvidia

Deep Dive - How to Use cuTile Python

Dive into cuTile Python for tile-based parallel programming with CUDA 13.1's virtual instruction set, abstracting tensor core complexities for high-level algorithm development.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Software Engineering Courses - SE Courses

SECourses Ultimate Video and Image Upscaler Pro V1.0 - SeedVR2 and FlashVSR+ Studio Level Upscaling

Discover professional-grade video and image upscaling with SeedVR2, FlashVSR+, and GAN models. Features scene-based processing, RIFE interpolation, batch operations, and cloud GPU support.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

The Machine Learning Engineer

Installing NVIDIA cuDNN and First Steps with NVCC in C++

Aprenda a instalar Cudnn y desarrolle aplicaciones de ML con soporte GPU en C++, utilizando la biblioteca de redes neuronales profundas de Nvidia.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

JuliaHub

Performance Optimization of GPU Applications in Julia

Master GPU application optimization in Julia through CUDA profiler tools and performance analysis techniques for efficient parallel computing implementation.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Nvidia

How Math Libraries Can Help Accelerate Your Applications on Blackwell GPUs

Discover how NVIDIA's GPU-accelerated math libraries in the CUDA Toolkit and HPC SDK can optimize performance for AI, ML, and scientific computing workflows on Blackwell GPUs.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

MLOps World: Machine Learning in Production

Pretraining on AMD MI300X using ScalarLM

Explore how ScalarLM framework optimizes LLM training and inference on AMD MI300X GPUs, featuring innovative memory management, kernel fusion techniques, and architecture-specific optimizations for efficient scaling.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Nvidia

Advanced Multi-GPU Scaling: Communication Libraries

Discover how to scale applications beyond single GPU limitations using CUDA-aware MPI, NVSHMEM, and NCCL, demonstrated through real-world examples for computing larger workloads faster.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Nvidia

Going Deeper with Multi-GPU Scaling: Task-based Runtimes

Discover how to write multi-GPU libraries using task-based runtime systems that scale transparently without explicit communication, and learn to integrate your code with existing domain libraries.

• YouTube
• 38 minutes
• Self-Paced
• Free Video