GPU Programming Courses and Certifications

Paul G. Allen School

Productively Programming Accelerated Computing Systems

Explore programming systems for modern accelerated computing, covering actor-based vs task-based models and automatic optimization strategies for Tensor Core GPUs.

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

The Julia Programming Language

GPU Programming in Julia - Workshop

Comprehensive workshop on GPU programming in Julia, covering CUDA, AMDGPU, and oneAPI packages. Explores array operations, kernel programming, profiling, and real-world applications across different GPU architectures.

• YouTube
• 3 hours 5 minutes
• On-Demand
• Free Video

ACCU Conference

GPU Programming with Modern C++

Explore GPU programming with modern C++, covering parallelism fundamentals, heterogeneous computing, and SYCL for GPU dispatch. Learn to optimize performance and leverage multi-core architectures effectively.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Conference Talk

Microcredential

GPU Programming

Unlock GPU programming for data processing, machine learning, and signal processing. Master CUDA and parallel computing libraries to harness hardware potential and accelerate computations.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Centre International de Rencontres Mathématiques

GPU-Accelerated Mathematical Illustration - An Introduction to Shader Programming

Discover GPU-accelerated mathematical illustration through shader programming techniques for creating visual mathematical content and research visualizations.

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

Advanced Geometry and Model Loading

Master advanced 3D graphics with face culling, model loading, skyboxes, and geometry shaders to create immersive visual environments and boost rendering performance.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

OpenGL Fundamentals: Your First Triangle

1 review

Master OpenGL fundamentals by building your first modern graphics application, creating windows, writing custom shaders, and rendering colorful triangles from scratch.

• CodeSignal
• 6 hours
• On-Demand
• Free Certificate

Mastering Parallel programming with CUDA platform

1866 ratings at Udemy

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

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

Learn the Vulkan API with C++

930 ratings at Udemy

Learn the fundamentals of the popular Vulkan API for modern graphics rendering using C++!

• Udemy
• 1 day 2 hours 10 minutes
• On-Demand
• Paid Course

CUDA at Scale for the Enterprise

24 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
• Paid Course

CUDA Advanced Libraries

21 ratings at Coursera

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 2 hours 16 minutes
• On-Demand
• Paid Course

IIT Kharagpur;  NPTEL

GPU Architectures and Programming

Comprehensive exploration of GPU architectures and programming, covering CUDA and OpenCL, with focus on optimization techniques and practical applications in modern computing scenarios.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Learn to Write Unity Compute Shaders

464 ratings at Udemy

Harness GPU power for advanced Unity development. Learn to create compute shaders for post-processing, particle effects, physics simulations, and fluid dynamics. Boost game performance with parallel processing techniques.

• Udemy
• 5 hours 51 minutes
• On-Demand
• Paid Course

Learn OpenGL with Python for Graphics and Games

321 ratings at Udemy

Develop a superior knowledge of vertex shader hardware rendering of 3D graphics.

• Udemy
• 13 hours 59 minutes
• On-Demand
• Paid Course

Data-Oriented C++ in Scientific Programming

Master data-oriented C++ programming for scientific applications, focusing on memory efficiency, parallel algorithms, and high-performance computing on multi-core CPUs and GPUs.

• Coursera
• 19 hours 50 minutes
• On-Demand
• Paid Course