CUDA Courses and Certifications

Nvidia

Asynchrony and CUDA Streams - CUDA C++ Class Part 2

Unlock GPU's full potential through asynchronous programming and CUDA Streams for efficient parallel computing and performance optimization.

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

Nvidia

Accelerating Applications with Parallel Algorithms - CUDA C++ Class Part 1

Master modern CUDA C++ programming with Thrust library, parallel algorithms, iterators, and GPU memory management through hands-on exercises and real-world examples.

• YouTube
• 2 hours 5 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

CUDA Crash Course

1 rating

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

• YouTube
• 7 hours
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Master NVIDIA AI Infrastructure & Pass NCA-AIIO

1167 ratings at Udemy

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

• Udemy
• 4 hours 41 minutes
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Multicore and GPGPU Programming

Master parallel programming with multicore CPUs and GPUs, covering CUDA, Pthreads, MPI, and OpenMP to build high-performance, multi-threaded applications for modern computing architectures.

• Coursera
• 3 days 3 hours 9 minutes
• Self-Paced
• Paid Course

Stanford CS149 - Parallel Computing 2023

10 ratings

Master parallel computing fundamentals from multi-core CPUs to GPUs, covering hardware design, programming techniques, and performance optimization for modern systems.

• YouTube
• 1 day 19 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video