Parallel Computing Courses and Certifications

Lock-Free Concurrent Data Structures

2 ratings

Master lock-free data structures and atomic operations in C++, implementing concurrent queues, stacks, and maps while understanding memory ordering principles for efficient programming.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Degree

Master of Computer Science

The Online MCS currently offers coursework in the core areas of artificial intelligence, databases, interactive computing, software engineering, scientific computing, and high-performance computing.

• Coursera
• Self-Paced
• $21,440.00
• 17 courses

Effective Programming in Scala

178 ratings at Coursera

Découvrez la programmation Scala à travers des concepts avancés comme la modélisation de domaines, la manipulation de données et les tâches parallèles. Apprenez les meilleures pratiques pour écrire du code de qualité et évolutif.

• Coursera
• 3 days 2 hours 23 minutes
• Self-Paced
• Paid Course

LAFF-On Programming for High Performance

Learn to squeeze high performance out of modern CPUs.

• edX
• 5 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Efficient Programming

Master bottleneck identification and optimization techniques for high-performance computing environments, covering profiling, vectorization, memory optimization, and parallel computing strategies.

• Coursera
• 7 hours 40 minutes
• Self-Paced
• Paid Course

Learn By Example: Hadoop, MapReduce for Big Data problems

1190 ratings at Udemy

A hands-on workout in Hadoop, MapReduce and the art of thinking "parallel"

• Udemy
• 13 hours 44 minutes
• Self-Paced
• Paid Course

Computer Science 306: Computer Architecture

Comprehensive exploration of computer architecture, covering hardware, data representation, logic circuits, memory, instruction sets, I/O, parallel systems, performance evaluation, and quantum computing.

• Study.com
• 16 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

OpenCL Programming

Master OpenCL programming for parallel computing across CPUs, GPUs, and FPGAs. Develop high-performance applications, optimize kernels, manage memory efficiently, and scale computations for AI, scientific simulations, and more.

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

Coursera

GPU Clusters & Containers

Unlock distributed AI training and production deployment using cloud GPU clusters and containerization strategies for scalable machine learning systems.

• Coursera
• 2 hours 5 minutes
• Self-Paced
• Paid Course

Coursera

Advanced .NET with TPL & PLINQ: Conducting Performance Boost

Optimize .NET applications with Task Parallel Library and PLINQ. Learn to create parallel tasks, handle failures, implement cancellation, and perform parallel data queries for improved performance in data processing scenarios.

• Coursera
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Coursera

Optimize AI: Build Fast Efficient Pipelines

Master building fast, efficient AI training and inference pipelines by optimizing data loading, computational graphs, and GPU utilization to reduce latency and boost performance.

• Coursera
• 1 hour 28 minutes
• Self-Paced
• Paid Course

Codio

Introduction to Operating Systems 3: Concurrency

Explore concurrency in operating systems, covering threads, locks, locking data structures, and multi-CPU scheduling through hands-on, video-free coding exercises with instant feedback.

• edX
• 60 hours
• Self-Paced
• Free Online Course (Audit)

Data Analysis with Polars

594 ratings at Udemy

"A thorough introduction to Polars" - Ritchie Vink, creator of Polars - over 3,000 learners to date!

• Udemy
• 4 hours 47 minutes
• Self-Paced
• Paid Course

Mastering GPU Parallel Programming with CUDA: ( HW & SW )

569 ratings at Udemy

Performance Optimization and Analysis for High-Performance Computing

• Udemy
• 23 hours 3 minutes
• Self-Paced
• Paid Course

Python Simplified

Computer Science Concepts - Programming, Machine Learning, and Software Development Fundamentals

Discover fundamental programming concepts from OOP and recursion to machine learning, cloud computing, and API development through practical Python examples.

• YouTube
• 6 hours 24 minutes
• Self-Paced
• Free Video