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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

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Hardware Architecture, Package and Software Management, Distributed Computing, Bash (Scripting Language), Operating Systems, File Systems, Remote Access Systems, Linux, Linux Commands, Performance Tuning, Computer Architecture, Programming Principles, Command-Line Interface, Scripting, Scalability

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      140 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cloud Computing

      Skills you'll gain: Cloud Computing Architecture, Cloud Computing, Cloud Security, Cloud Services, Cloud Infrastructure, Public Cloud, Cloud Storage, Serverless Computing, Cloud-Native Computing, Application Deployment, Hybrid Cloud Computing, Identity and Access Management, Virtualization, Virtual Machines, Microservices, DevOps

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      U

      University of Colorado Boulder

      Introduction to Python for Scientific Computing

      Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Matplotlib, Debugging, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Programming Principles, Computational Thinking, Engineering Analysis, Data Analysis, Computer Programming

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Cloud Computing

      Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Storage, Cloud Services, Cloud Computing, Apache Spark, Big Data, Middleware, Infrastructure As A Service (IaaS), Apache Hadoop, Data Storage Technologies, Data Centers, File Systems, Deep Learning, Cloud Development, Cloud Applications, Network Architecture, Containerization, Amazon S3, Software-Defined Networking

      4.3
      Rating, 4.3 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Parallel, Concurrent, and Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Distributed Computing, Java Programming, Apache Hadoop, Event-Driven Programming, Apache Spark, Java, Dataflow, Performance Tuning, Web Services, Microservices, Programming Principles, Data Structures, System Programming, Servers, Software Design Patterns, Scalability, Algorithms, Application Frameworks, Theoretical Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Serverless Computing, Software Development Life Cycle, Node.JS, OpenShift, GitHub, Software Architecture, ChatGPT, React Redux, Web Development Tools, Microservices, Containerization, React.js, Responsive Web Design, Kubernetes, Cloud Computing Architecture, Object-Relational Mapping, CI/CD, Flask (Web Framework), Jupyter, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Functional Programming in Scala

      Skills you'll gain: Scala Programming, Apache Spark, Heat Maps, User Interface (UI), Software Design Patterns, Apache Hadoop, Data Structures, Big Data, Interactive Data Visualization, Functional Design, Distributed Computing, Data Transformation, Programming Principles, Data Processing, Algorithms, Object Oriented Programming (OOP), Event-Driven Programming, Object Oriented Design, Performance Tuning, Java Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Machine Learning Methods, Image Analysis, Applied Machine Learning, Matlab, Algorithms, Data Analysis, Object Oriented Programming (OOP), Classification And Regression Tree (CART), Data Processing, Computer Vision, User Interface (UI), Regression Analysis, Digital Communications, Numerical Analysis, Performance Tuning, Computer Programming, Mathematical Software, Programming Principles, Debugging, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Computer Hardware, Pseudocode, Algorithms, Problem Solving, Programming Principles, Computer Programming, Python Programming, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Quantum Information

      Skills you'll gain: Telecommunications, Emerging Technologies, Theoretical Computer Science, Digital Communications, Computational Thinking, Cryptography, Linear Algebra, Simulations, Physics, Mathematical Modeling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      123 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure Compute and Application Architecture Solutions

      Skills you'll gain: Microsoft Azure, Virtual Machines, Infrastructure As A Service (IaaS), Cloud Applications, Microservices, Cloud Computing Architecture, Serverless Computing, Containerization, Kubernetes, Event-Driven Programming, Application Deployment, Application Programming Interface (API), Real Time Data

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Introduction to Cloud Computing: IBM
    • Introduction to Python for Scientific Computing: University of Colorado Boulder
    • Cloud Computing: University of Illinois Urbana-Champaign
    • Parallel, Concurrent, and Distributed Programming in Java: Rice University
    • IBM Full Stack Software Developer: IBM
    • Functional Programming in Scala: École Polytechnique Fédérale de Lausanne
    • MATLAB Programming for Engineers and Scientists: Vanderbilt University
    • Computer Architecture: Princeton University
    • Computational Thinking for Problem Solving: University of Pennsylvania

    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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