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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

    • É

      École Polytechnique Fédérale de Lausanne

      Parallel programming

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Other Programming Languages, Java, Performance Tuning

      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, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, OS Process Management, Data Structures, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      146 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, Big Data, Operating Systems, File Systems, Linux, Job Control Language (JCL), Command-Line Interface, Performance Tuning, Computer Architecture

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Parallel Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Programming Principles, Application Frameworks, 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

    • P

      Packt

      Concurrent and Parallel Programming in Python

      Skills you'll gain: Python Programming, Distributed Computing, OS Process Management, Performance Tuning, Scalability, Web Scraping, Database Management

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to Parallel Programming with CUDA

      Skills you'll gain: Performance Tuning, OS Process Management, Data Structures, Performance Testing, Distributed Computing, System Programming, Data Access, Hardware Architecture, C (Programming Language), C++ (Programming Language), Algorithms, Computer Architecture, Data Storage, Development Environment, Program Development, Debugging

      2.8
      Rating, 2.8 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 3 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, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Washington

      Programming Languages, Part A

      Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Ruby (Programming Language), Software Design Patterns, Computational Thinking

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

      Intermediate · Course · 1 - 3 Months

    • 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

      Intermediate · Course · 1 - 4 Weeks

    • 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 Colorado Boulder

      Approximation Algorithms and Linear Programming

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

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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

    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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