GPU Programming Courses and Certifications

Career Certificate

GPU Programming

Learn to program GPUs with CUDA: write concurrent and parallel code, scale CUDA applications for enterprise workloads, and apply advanced CUDA libraries.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

The Julia Programming Language

GPU Programming in Julia - Workshop

Program GPUs in Julia across NVIDIA, AMD, and Intel back ends, from array operations to optimized kernels with profiling and practical case studies.

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

Meeting Cpp

Foundation of GPU Programming

Explore GPU architecture, performance sources, and programming models. Gain insights into SIMD processing, DRAM parallelism, and software/memory hierarchies for confident GPU utilization.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

NDC Conferences

From Magic to Mechanics: Demystifying GPU Programming

Demystifying GPU programming: Learn parallel programming fundamentals, GPU architecture, and how to leverage WebGPU and Vulkan for high-performance computing across devices.

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

Vendor-Neutral GPU Programming in Chapel

Explore Chapel's vendor-neutral GPU support for portable, parallel computing across diverse hardware. Learn to write GPU-enabled programs and discover opportunities for open-source involvement.

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

PyCon US

GPU Programming in Pure Python

Discover how to accelerate Python code with GPUs using CUDA libraries, from managing devices to writing kernels and integrating with cuDNN and cuBLAS through practical examples.

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

JuliaHub

Vendor-Neutral GPU Programming in Julia with KernelAbstractions.jl

Discover how to write flexible, high-performance GPU code in Julia using KernelAbstractions.jl, enabling seamless deployment across different GPU architectures while maintaining optimal performance.

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

Shared Memory Optimization

Learn to use GPU shared memory and thread synchronization for boundary-safe tiled matrix multiplication, then validate speedups with benchmarks.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Introduction to Concurrent Programming with GPUs

Learn concurrent programming foundations: tackle canonical problems like the Dining Philosophers, write multithreaded C++ and Python 3 code, and start writing CUDA device code for NVidia GPUs.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Packt

GPU Programming with C++ and CUDA

Master GPU programming in C++ and CUDA: write kernels, manage threads, blocks and streams, design parallel algorithms, profile with Nsight Compute, and expose GPU code to Python.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

AI Engineer

Unlocking Developer Productivity across CPU and GPU with MAX

Discover how Modular's MAX platform and Mojo language unify CPU/GPU programming into a single Pythonic model, reducing complexity and boosting AI developer productivity.

• YouTube
• 19 minutes
• Self-Paced
• 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
• Self-Paced
• Conference Talk

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

Career Certificate

Introduction to CUDA Kernel Programming

Learn CUDA kernel programming from the ground up, including GPU memory, multidimensional kernels, shared-memory optimization, and image-processing pipelines.

• CodeSignal
• 9 hours
• Self-Paced
• Free Certificate
• 4 courses

CUDA Basics and 1D Operations

Learn CUDA fundamentals by allocating GPU memory, transferring data between CPU and GPU, and building reliable one-dimensional kernels with grid-stride loops.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate