Parallel Computing Courses and Certifications

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

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

Introduction to Parallel Programming with CUDA

Write CUDA programs for Nvidia GPUs: organize threads, blocks and grids, move data between host and global memory, and exploit shared, constant and register memory.

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

Parallel Programming Concepts

5 ratings

Learn the foundations of parallel programming: semaphores and actors, shared and distributed memory parallelism, accelerators, task parallelism, message passing, and proven patterns.

• openHPI
• Self-Paced
• Free Certificate

NCA-AIIO - Prep Course - AI Infra & Ops Associate

2263 ratings at Udemy

Master AI infrastructure and operations aligned to industry certification objectives with practical learning (Associate)

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

Mastering Parallel programming with CUDA platform

1884 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
• 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

Coursera

OpenCL Programming

Program CPUs, GPUs, and FPGAs with OpenCL: set up the development environment, write and optimize kernels, manage memory, and scale computations across multiple devices.

• Coursera
• 3 hours 41 minutes
• Self-Paced
• Paid Course

Packt

The C++ Programmer's Mindset

Apply computational thinking to a large C++ case study, moving from abstraction and data handling to clustering, CUDA, and profiling for performance insights.

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

EDUCBA Career Certificate

Jupyter Python Visualization and Optimization

Combine Jupyter-based visual analytics with profiling, acceleration, and parallel computing to build scalable Python workflows for demanding data-driven applications.

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

Multicore Programming Primer

The course serves as an introductory course in parallel programming. It offers a series of lectures on parallel programming concepts as well as a group project providing hands-on experience with parallel programming.

• MIT OpenCourseWare
• 20 hours
• Self-Paced
• Free Video

media.ccc.de

Textverarbeitung mit SIMD-Techniken - Effiziente Stringverarbeitung für moderne Anwendungen

Effiziente Textverarbeitung mit SIMD-Techniken: Beschleunigung von String-Operationen durch parallele Verarbeitung mehrerer Zeichen gleichzeitig, für optimierte Leistung in modernen Anwendungen.

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

Raw Coding

Advanced Programming Concepts in C#

Dive into advanced C# programming with deep explanations of async/await, dependency injection, reflection, generics, threading, and architectural patterns.

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

CUDA Programming - High-Performance Computing with GPUs

3 ratings

Learn to write CUDA kernels and optimize GPU workloads, including matrix multiplication and integrations with Triton and PyTorch.

• freeCodeCamp
• 11 hours 55 minutes
• Self-Paced
• Free Video

Strange Loop Conference

Concurrency and Parallel Computing in JavaScript

Explore JavaScript promises, Web Workers, SIMD, and temporal immutability for concurrency and parallel computing in the browser.

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