CUDA Courses and Certifications

CUDA Advanced Libraries

Learn to use CUDA's advanced libraries like CuFFT, cuBLAS, and Thrust for complex computations and machine learning applications, including object detection and language translation.

• Coursera
• 1 day 1 hour 16 minutes
• On-Demand
• Free Online Course (Audit)

CUDA at Scale for the Enterprise

11 ratings at Coursera

Explore advanced GPU programming techniques for enterprise-scale applications, including multi-GPU systems, asynchronous workflows, and optimized algorithms for sorting and image processing.

• Coursera
• 1 day 4 hours 45 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Parallel Programming with CUDA

Learn parallel programming with CUDA to process large datasets using GPUs. Explore thread management, memory types, and performance optimization techniques for complex problem-solving on Nvidia hardware.

• Coursera
• 21 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

CUDA programming Masterclass with C++

1659 ratings at Udemy

Learn parallel programming on GPU's with CUDA from basic concepts to advance algorithm implementations.

• Udemy
• 10 hours 48 minutes
• On-Demand
• Paid Course

Learn CUDA with Docker!

21 ratings at Udemy

Learrn to Code with CUDA with GPGPU-Simulators & Docker, Kickstart Your Computing and Data Science Career!

• Udemy
• 2-3 hours
• On-Demand
• Paid Course

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

Parallel Computing with CUDA

119 ratings at Pluralsight

An entry-level course on CUDA - a GPU programming technology from NVIDIA.

• Pluralsight
• 4 hours 13 minutes
• On-Demand
• Free Trial Available

Learn to use CUDA C/C++ tools and techniques to accelerate CPU-only applications to run on massively parallel GPUs.

• Independent
• 8 hours
• On-Demand
• $90.00

Nvidia

Parallel Nsight 2.0 and CUDA 4.0 for GPU Computing - SIGGRAPH 2011

Explore GPU computing with CUDA 4.0 and Parallel Nsight 2.0, integrated into Visual Studio for enhanced graphics and parallel application development.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Nvidia

Improvements to NVIDIA CUDA and Deep Learning Libraries - Session 1

Explore NVIDIA's latest AI tech advancements, including CUDA Graphs, WMMA, and cuDNN. Learn about performance improvements, Tensor Cores, and new features for deep learning acceleration.

• YouTube
• 42 minutes
• 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

Nvidia

CUDA Toolkit 12.2 - New Accelerated Computing and Security Enhancements

Explore CUDA 12.2's new features: Hopper GPU support, confidential computing, heterogeneous memory management, and MPS prioritization enhancements for efficient, secure, and accelerated application development.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

CUTLASS: A CUDA C++ Template Library for Accelerating Deep Learning Computations

Explore CUTLASS, an open-source CUDA C++ template library for optimizing deep learning computations on NVIDIA GPUs. Learn to develop high-performance custom kernels using Tensor Core programming.

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