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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.


More to explore:

Popular Parallel Computing Courses and Certifications


  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 1)

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Advanced Data Structures, RSA and Quantum Algorithms

    Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Data Encryption Standard, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Computational Thinking, IBM Cloud, Linear Algebra, Arithmetic

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Computing for Cancer Informatics

    Skills you'll gain: Computer Systems, Informatics, Data Processing, Data Sharing, Computing Platforms, Bioinformatics, Data Storage, Computer Literacy, Computer Hardware, Big Data, Capacity Management, Data Centers, Computer Security Awareness Training, Cloud Computing, Oncology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    AI Infrastructure: Introduction to AI Hypercomputer

    Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Computing Architecture, Performance Tuning, Infrastructure Architecture, Artificial Intelligence, Hardware Architecture

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Data Structures & Algos: Software Development Skills

    Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Introduction to AWS for Cloud Beginners

    Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Database Management, AWS CloudFormation, Amazon Elastic Compute Cloud, Cloud Infrastructure, Amazon S3, Cloud Computing, Public Cloud, Cloud Storage, Data Security, Virtual Networking

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    AI Infrastructure: Cloud GPUs

    Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Hardware Architecture, Infrastructure Architecture, Computer Hardware, Performance Tuning, Cloud Platforms, Computing Platforms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    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
    Free Trial
    U

    University of California San Diego

    Social Computing

    Skills you'll gain: Collaborative Software, Telecommuting, Social Impact, Social Network Analysis, Remote Access Systems, Interaction Design, Driving engagement, Computing Platforms, Digital Communications

    4.4
    Rating, 4.4 out of 5 stars
    ·
    818 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    FPGA computing systems: A Bird’s Eye View

    Skills you'll gain: System Configuration, System Design and Implementation, Computer Architecture, Hardware Architecture, Computer Hardware, Embedded Systems, Automation, Computational Logic, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computational Vision

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Computational Thinking, Deep Learning, Psychology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    N

    Northeastern University

    Program Structure and Algorithms Part 1

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

    Mixed · Course · 1 - 3 Months

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

  • Principles of Computing (Part 1): Rice University
  • Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder
  • Computing for Cancer Informatics: Johns Hopkins University
  • AI Infrastructure: Introduction to AI Hypercomputer: Google Cloud
  • Data Structures & Algos: Software Development Skills: Northeastern University
  • Introduction to AWS for Cloud Beginners: Simplilearn
  • AI Infrastructure: Cloud GPUs: Google Cloud
  • Java SE 17 Developer (1Z0-829): Unit 5: Pearson
  • Social Computing: University of California San Diego
  • FPGA computing systems: A Bird’s Eye View: Politecnico di Milano

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Kubernetes (10)
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