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  • Parallel Computing

Parallel Computing Courses

Parallel computing courses can help you learn about distributed systems, concurrency, and performance optimization techniques. You can build skills in task scheduling, load balancing, and debugging parallel applications. Many courses introduce tools like MPI (Message Passing Interface) and OpenMP, that support implementing parallel algorithms and enhancing computational efficiency.

Popular Parallel Computing Courses and Certifications


  • Status: Preview
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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Store, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Real Time Data, Cloud Computing, Databases, Analytics, Deep Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Scalability, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    343 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, File Systems, Data Science, Data Transformation, Information Technology, Data Analysis

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

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    H

    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

    Skills you'll gain: Computer Architecture, Hardware Architecture, Computer Engineering, Computer Hardware, Computer Science, Computer Systems, Microarchitecture, Computational Logic, System Programming, Computer Programming, Systems Design, System Design and Implementation, Other Programming Languages, Technical Design, Software Design, Memory Management, Program Development, Data Storage

    4.9
    Rating, 4.9 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

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    B

    Birla Institute of Technology & Science, Pilani

    Multicore and GPGPU Programming

    Skills you'll gain: Microarchitecture, Program Development, Distributed Computing, Performance Testing, Software Architecture, Algorithms, Memory Management, Computer Hardware, C (Programming Language)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Social Media Analytics, Graph Theory, Machine Learning Methods, R (Software), Machine Learning, Machine Learning Software, Model Training, Machine Learning Algorithms, Model Optimization, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, Tensorflow, Data Ethics, Large Language Modeling, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    19 reviews

    Intermediate · Specialization · 3 - 6 Months

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    I

    International Institute of Information Technology, Hyderabad

    Introduction to Computer Organization

    Skills you'll gain: System Programming, Memory Management, Performance Tuning, Programming Principles, Computational Logic, Numerical Analysis, Algorithms, Debugging

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    R

    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Algorithms, Python Programming, Game Design, General Mathematics

    4.7
    Rating, 4.7 out of 5 stars
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    584 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Geometry and Calculus for Computing

    Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Plot (Graphics), Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Performance Optimization and Scalability

    Skills you'll gain: Microsoft Copilot, Scalability, Software Architecture, Performance Tuning, Query Languages, Systems Architecture, Database Management, Distributed Computing, .NET Framework, Maintainability, Back-End Web Development, Memory Management

    4.6
    Rating, 4.6 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

    Skills you'll gain: Cloud Infrastructure, Cloud Services, Cloud Technologies, Cloud Computing, Cloud Storage, Cloud Platforms, Cloud Solutions, Cloud Computing Architecture, Infrastructure As A Service (IaaS), Data Storage, Middleware, Virtualization and Virtual Machines, Containerization, Data Storage Technologies, Virtualization, Virtual Machines, Cloud Applications, Cloud API, Amazon S3, Platform As A Service (PaaS)

    4.3
    Rating, 4.3 out of 5 stars
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    847 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Applied Mathematical Methods for Computing

    Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Geometry, Applied Mathematics, Statistics, Statistical Analysis, Statistical Methods, Probability, Algorithms, Algebra, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh
  • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
  • Multicore and GPGPU Programming: Birla Institute of Technology & Science, Pilani
  • Social Computing: Johns Hopkins University
  • Introduction to Computer Organization: International Institute of Information Technology, Hyderabad
  • Principles of Computing (Part 1): Rice University
  • Geometry and Calculus for Computing: University of London
  • Performance Optimization and Scalability: Microsoft

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