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    • Parallel Programming

    Parallel Programming Courses Online

    Master parallel programming for efficient computing. Learn about threading, concurrency, and parallel algorithms.

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    Explore the Parallel Programming Course Catalog

    • Placeholder
      É

      École Polytechnique Fédérale de Lausanne

      Parallel programming

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Java Programming, Performance Tuning, Computer Programming, Computer Science

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Program Development, C and C++, Scalability, Deep Learning, Natural Language Processing, Performance Tuning, Linear Algebra, Distributed Computing, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, Computer Systems, Data Structures, Computer Programming, Software Development, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      144 reviews

      Intermediate · Specialization · 3 - 6 Months

    • R

      Rice University

      Parallel, Concurrent, and Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Object Oriented Programming (OOP), Application Frameworks, OS Process Management, Computer Programming, Algorithms, Debugging, Computer Science, Operating Systems

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

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Computer Systems, Big Data, Operating Systems, File Systems, Linux, Command-Line Interface, Performance Tuning, Programming Principles

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      136 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to Parallel Programming with CUDA

      Skills you'll gain: Performance Tuning, Data Structures, C and C++, Performance Testing, Distributed Computing, Computational Thinking, Algorithms, Computer Hardware, Computer Architecture, Program Development, Software Development, Debugging

      2.7
      Rating, 2.7 out of 5 stars
      ·
      46 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rice University

      Parallel Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Programming Principles, Object Oriented Programming (OOP), Application Frameworks, Computer Programming, Algorithms, Performance Tuning, Functional Design, Scalability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      U

      University of Washington

      Programming Languages, Part A

      Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Computer Programming, Ruby (Programming Language), Theoretical Computer Science, Software Design

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      P

      Packt

      Concurrent and Parallel Programming in Python

      Skills you'll gain:

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      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, Program Development, Computational Thinking, Computer Science, Algorithms, Debugging

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

      Beginner · Course · 1 - 3 Months

    • Placeholder
      É

      École Polytechnique Fédérale de Lausanne

      Parallel programming (Scala 2 version)

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Programming Principles, Algorithms, Performance Tuning, Functional Design, Performance Testing, Computer Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado Boulder

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Computer Programming, Python Programming

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      U

      University of Washington

      Programming Languages, Part B

      Skills you'll gain: Other Programming Languages, Software Design, Programming Principles, Scripting Languages, Data Structures, Computer Programming, Functional Design, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      781 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Parallel programming: École Polytechnique Fédérale de Lausanne
    • GPU Programming: Johns Hopkins University
    • Parallel, Concurrent, and Distributed Programming in Java: Rice University
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Introduction to Parallel Programming with CUDA: Johns Hopkins University
    • Parallel Programming in Java: Rice University
    • Programming Languages, Part A: University of Washington
    • Concurrent and Parallel Programming in Python: Packt
    • Computer Science: Programming with a Purpose: Princeton University
    • Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne

    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 Programming

    Parallel programming is a concept in computing where a computer uses its resources to solve a problem. The computer breaks the problem down into multiple steps in order to process more information at a time. Parallel programming allows a computer to complete tasks quickly and more efficiently than if the computer solved one section of the problem at a time. Your laptop or desktop computer, smartphone, and tablet rely on parallel programming to process data quickly, allowing you to get better and faster performance from them.‎

    If you're programming computer software or an application, relying on parallel programming allows you to create an app that's more responsive for users. Games run more quickly and are more fun when parallel programming allows you to play them in real-time. Internet searches are more efficient and accurate when the device you're on uses parallel programming to perform the search. Video looks smoother, and audio sounds better on devices that use parallel programming. In short, parallel programming makes the apps and sites that you use every day perform their best.‎

    If you're interested in changing to a career in computer programming, you can apply for software engineering and computer architecture engineering positions in cutting-edge technological companies. Once you've learned parallel programming, you'll be able to develop apps and software programs that run faster and more smoothly. Many cloud applications rely on parallel programming, so you can look for positions with companies developing this rapidly growing sector of technology.‎

    When you take online courses on Coursera in parallel programming, you'll learn from international experts from prestigious schools like École Polytechnique Fédérale de Lausanne and successful companies like Oracle Labs. Instructors from our partner organizations will give you a thorough grasp of the principles of parallel programming, as well as real-world applications. Once you've finished the course, you'll have confident knowledge that can lead you to a new, successful programming career. Best of all, you can learn at your own pace and on a schedule that fits your lifestyle.‎

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

    When looking to enhance your workforce's skills in Parallel Programming, 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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