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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: New
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    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, Physics, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Building Modern Distributed Systems with Java

    Skills you'll gain: Distributed Computing, Java Programming, Load Balancing, Middleware, Database Management Systems, NoSQL, Event-Driven Programming, Databases, Systems Architecture, Software Architecture, Computer Systems, Remote Access Systems, Microservices, Scalability, Service Management, Communication Systems

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    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

  • Status: Preview
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    N

    Northeastern University

    Program Structure and Algorithms Part 1

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Theoretical Computer Science, Computer Programming, Performance Tuning, Scalability, Design Strategies

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    I

    International Institute of Information Technology, Hyderabad

    Fundamentals of Computer Organization

    Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Systems Architecture, Computer Systems, Computer Hardware, Performance Tuning, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Politecnico di Milano

    Technologies and platforms for Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Platforms, Deep Learning, Hardware Architecture, Cloud Services, Information Technology, Internet Of Things, Computer Hardware, Cloud Computing, Embedded Systems, Data Centers, Application Development

    4.8
    Rating, 4.8 out of 5 stars
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    94 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Pearson

    Java SE 17 Developer (1Z0-829): Unit 5

    Skills you'll gain: Java Programming, Functional Design, Performance Tuning, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google Cloud

    AI Infrastructure: Introduction to AI Hypercomputer

    Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Infrastructure, Model Optimization, Cloud Computing Architecture, Performance Tuning, Computer Architecture, AI Workflows, Model Training, Artificial Intelligence, Hardware Architecture, Systems Architecture

    4.2
    Rating, 4.2 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    CUDA Advanced Libraries

    Skills you'll gain: Artificial Neural Networks, Program Development, Applied Machine Learning, Deep Learning, Software Development, Linear Algebra, Mathematical Software, Machine Learning, Digital Signal Processing, Data Structures, Data Transformation, Algorithms, Data Science

    3.3
    Rating, 3.3 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    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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In summary, here are 10 of our most popular parallel computing courses

  • Geometry and Calculus for Computing: University of London
  • Building Modern Distributed Systems with Java: Packt
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure: University of Illinois Urbana-Champaign
  • Applied Mathematical Methods for Computing: University of London
  • Program Structure and Algorithms Part 1: Northeastern University
  • Fundamentals of Computer Organization: International Institute of Information Technology, Hyderabad
  • Technologies and platforms for Artificial Intelligence: Politecnico di Milano
  • Java SE 17 Developer (1Z0-829): Unit 5: Pearson
  • AI Infrastructure: Introduction to AI Hypercomputer: Google Cloud
  • CUDA Advanced Libraries: Johns Hopkins University

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