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Parallel Processing courses

Learn Parallel Processing online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Stanford University

Stanford CS149 I Parallel Computing I 2023 I Kayvon Fatahalian and Kunle Olukotun

From smartphones, to multi-core CPUs and GPUs, to the world's largest supercomputers and websites, parallel processing is ubiquitous in modern computing. The goal of this course is to provide a deep understanding of the fundamental principles and engineering trade-offs involved in designing modern…

Video playlist
  • YouTube
  • 19 videos, 24 hours
  • Self-paced
  • Free video

IBM

Hardware and Operating Systems

4.6106 ratings

Build the job-ready skills to install and set up an operating system, plus gain essential understanding of hardware components, including the motherboard, CPU, hard drives, and more.

  • edX
  • 6 weeks, 5 - 7 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

IBM

Big Data, Hadoop, and Spark Basics

4.543 ratings

This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on.

  • edX
  • 6 weeks, 3 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Coursera

Advanced .NET with TPL & PLINQ: Conducting Performance Boost

This Guided Project "Advanced .NET with TPL & PLINQ: Conducting Performance Boost" is designed for intermediate software developers interested in incorporating parallelism into their .NET projects. In this 1-hour long project-based course, you will learn how to implement parallel processing techniq…

  • Coursera
  • 2 hours
  • Self-paced
  • Paid certificate

EDUCBA

Optimize Python with Parallel and Accelerated Computing

Optimize Python performance and build scalable data-driven workflows with interactive computing, code acceleration, and parallel processing. This course teaches you to convert Jupyter notebooks into HTML and LaTeX, handle structured data with JSON, and create interactive applications using JavaScri…

  • Coursera
  • 9.5 hours
  • Self-paced
  • Paid certificate