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    • Parallel Computing

    Parallel Computing Courses Online

    Learn parallel computing for high-performance computing applications. Understand how to design and implement parallel algorithms.

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    Explore the Parallel Computing Course Catalog

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Programming with a Purpose

      Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Analysis, Probability, Statistical Machine Learning, Statistical Methods, Statistical Analysis, Advanced Analytics, Mathematical Modeling, Microsoft Excel, Markov Model, Probability Distribution, Probability & Statistics, Unsupervised Learning, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Data Science, Data Visualization, Graphing, Programming Principles, Data Import/Export, Scripting, Data Structures, Software Installation, Package and Software Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.5K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Operating Systems: Overview, Administration, and Security

      Skills you'll gain: Cloud Computing, Linux, Linux Administration, Cloud Security, Operating Systems, Windows PowerShell, Windows Servers, File Systems, System Configuration, Mac OS, Command-Line Interface, Security Controls, Firewall, Virtualization and Virtual Machines, Containerization, User Accounts

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.6K reviews

      Beginner · Course · 1 - 3 Months

    • I

      Interactive Brokers

      Practical Guide to Trading

      Skills you'll gain: Derivatives, Equities, Futures Exchange, Risk Analysis, Financial Trading, International Finance, Investments, Securities Trading, Financial Market, Risk Management, Financial Statement Analysis, Financial Analysis, Market Analysis, Analysis, Capital Markets, Tax, Balance Sheet, Financial Regulations, Market Data, Market Dynamics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      751 reviews

      Beginner · Specialization · 3 - 6 Months

    • R

      Rice University

      Concurrent Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Data Structures, System Programming, Programming Principles, Debugging, Algorithms, Computer Science, Performance Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      663 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Scrum Master Certification

      Skills you'll gain: User Story, Agile Methodology, Behavior-Driven Development, DevSecOps, Scaled Agile Framework, Backlogs, Agile Software Development, Test Driven Development (TDD), Sprint Planning, Kanban Principles, DevOps, Scalability, Risk Management, Agile Product Development, Agile Project Management, Continuous Integration, Lean Methodologies, Sprint Retrospectives, Scrum (Software Development), Management Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Braket Getting Started

      Skills you'll gain: Amazon Web Services, Cloud-Native Computing, Computing Platforms, Technical Documentation, Infrastructure Architecture, Systems Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Essential Google Cloud Infrastructure: Foundation

      Skills you'll gain: Cloud Infrastructure, Cloud Storage, Infrastructure As A Service (IaaS), Google Cloud Platform, Cloud Computing Architecture, Cloud Computing, Network Infrastructure, Virtual Machines, Cloud Management, Virtual Private Networks (VPN), Command-Line Interface, Firewall

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 4 Weeks

    Parallel Computing learners also search

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    1…141516…282

    In summary, here are 10 of our most popular parallel computing courses

    • Computer Science: Programming with a Purpose: Princeton University
    • Bayesian Statistics: University of California, Santa Cruz
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • Operating Systems: Overview, Administration, and Security: IBM
    • Practical Guide to Trading: Interactive Brokers
    • Concurrent Programming in Java: Rice University
    • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
    • Scrum Master Certification: LearnQuest
    • Amazon Braket Getting Started: Amazon Web Services

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Parallel Computing

    Parallel computing is the design, study, and process of using algorithms to make multiple computers solve computational problems simultaneously. In parallel computing, problems are split up into several parts for more than two computers to work on at the same time. These parts each have their own set of instructions that are executed on multiple central processing units (CPUs).

    Parallel computing speeds up problem-solving in computational learning. Previously, most computations were done individually by software written for use on a single computer with one CPU. This meant that only one instruction could be executed at any time.‎

    It's important to learn about parallel computing because it is the primary system used by programmers today to increase computation power for faster application problem solving and processing power. From multi-core personal computers to supercomputers, parallel computing is what is driving the core processing power.

    A processor is the computing power that drives your phone, laptop, and tablet. With more power in the processor, applications will run faster and better on your mobile device. Even smartphones are using multicore processing power, with some up to four and eight cores. Parallel computing helps to make this possible. This alone makes parallel computing worth knowing about for its current device applications and also its growing importance into the future.‎

    Learning parallel computing can bring you into careers as a parallel programming architect, a software engineer, or a high performance computing engineer. Many companies are looking for computing talents who can deliver and innovate in the graphics and parallel computing fields.

    Companies are continually looking to develop new parallel programming models for their GPU architecture. This is where learning about parallel computing can help you to succeed. By gaining new knowledge for creating new infrastructures and new architectures in parallel computing, you can play a part in advancing the state-of-the-art graphics performance in parallel programming models.‎

    When you take online courses about parallel computing, you will understand programming, software development, and computational power more clearly. You will study topics like data-parallel programs, how to express the functions of common parallel algorithms, and how to write and use parallel code in programs that use parallel collections to achieve higher computational performance. In these courses, industry experts will teach you not just how parallel computing works in relation to modern GPU architecture, but also how you can use your knowledge base to advance your careers in our increasingly digital world.‎

    Online Parallel Computing courses offer a convenient and flexible way to enhance your knowledge or learn new Parallel Computing skills. Choose from a wide range of Parallel Computing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Parallel Computing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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