CUDA Courses and Certifications

Nvidia

Accelerating Science and Engineering With NVIDIA CUDA-X Libraries

Explore how NVIDIA's 900+ CUDA-X libraries revolutionize industries from data science to quantum computing, driving breakthrough scientific and engineering innovations.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Nvidia

How to Write a CUDA Program - The Parallel Programming Edition

Dive into parallel programming concepts with CUDA architect Stephen Jones, exploring how GPU programming differs from CPU, techniques for optimization, and strategies for overcoming common challenges in massively-parallel computing.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Gopher Academy

Go Faster - Integrating CUDA in Go for GPU Acceleration

Master CUDA integration with Go to leverage GPU acceleration for ML/AI applications, covering cgo implementation, memory management, and performance optimization techniques.

• YouTube
• 30 minutes
• On-Demand
• Free Video

CUDA Crash Course

1 review

Comprehensive introduction to CUDA programming, covering vector operations, matrix multiplication, memory optimization, and performance tuning for GPU-accelerated computing.

• YouTube
• 7 hours
• On-Demand
• Free Video

Learning CUDA 10 Programming

Introducción práctica a la programación GPU con CUDA 10, abarcando fundamentos, modelo de programación, memoria compartida, aprendizaje profundo y concurrencia para aplicaciones de alto rendimiento.

• YouTube
• 30 minutes
• On-Demand
• Free Video

CUDA

Comprehensive introduction to CUDA programming, covering architecture, memory, terminologies, and practical implementations for vector and matrix operations on GPUs.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

CUDA Tutorials

Learn to program NVIDIA GPUs with CUDA, covering basics, kernels, memory, parallel algorithms, shared memory, and the Thrust library for efficient GPU computing.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Master NVIDIA AI Infrastructure & Pass NCA-AIIO

877 ratings at Udemy

Your Guide to Understanding NVIDIA-Powered AI Infrastructure - From Fundamentals to Certification Success

• Udemy
• 4 hours 41 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Free Video

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
• On-Demand
• Free Video

UbuCon Asia

CUDA with WSL2 and Ubuntu without Docker

WSL2와 Ubuntu에서 Docker 없이 CUDA 사용하기: 아키텍처 이해부터 설치, GPU 가속 딥러닝 코드 실행까지 실습을 통해 알아보는 WSL2 환경에서의 CUDA 활용법

• YouTube
• 28 minutes
• On-Demand
• Free Video

IPhT-TV

Introduction to CUDA Programming for Physicists - Lecture 3

Explore advanced CUDA programming techniques for physicists, focusing on optimizing parallel computations and enhancing scientific simulations.

• YouTube
• 2 hours 2 minutes
• On-Demand
• Free Video

IPhT-TV

Introduction to CUDA Programming for Physicists - Lecture 1

Explore GPU architecture, memory operations, and CUDA kernels for accelerating physics computations. Learn to leverage GPU power for parallel processing tasks in scientific applications.

• YouTube
• 2 hours 3 minutes
• On-Demand
• Free Video

IPhT-TV

Introduction to CUDA Programming for Physicists - Lecture 2

Explore GPU architecture, memory operations, CUDA kernels, and reduction techniques for physicists. Learn to accelerate critical code sections using GPUs and leverage specialized libraries.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

IPhT-TV

Introduction to CUDA Programming for Physicists - Lecture 3

Explore GPU architecture, memory operations, CUDA kernels, and reduction operations. Learn to accelerate critical code sections using GPUs for physics computations.

• YouTube
• 1 hour 47 minutes
• On-Demand
• Free Video