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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: Free Trial
    Free Trial
    D

    Duke University

    Cloud Virtualization, Containers and APIs

    Skills you'll gain: Cloud-Native Computing, Cloud Platforms, Application Deployment, Microservices, Cloud Computing, DevOps, Kubernetes, Continuous Delivery, Containerization, Serverless Computing, Virtual Machines, Performance Testing, System Monitoring, Flask (Web Framework)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    131 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    CUDA Advanced Libraries

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Machine Learning, Data Structures, Performance Tuning, Data Transformation, Algorithms, Data Science

    3
    Rating, 3 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    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, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    CUDA at Scale for the Enterprise

    Skills you'll gain: Image Analysis, Event-Driven Programming, Scalability, C and C++, Distributed Computing, Computer Graphics, Computer Vision, System Programming, Data Processing, Software Development, Performance Tuning, Hardware Architecture, Data Structures, Real Time Data, Algorithms

    3.1
    Rating, 3.1 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    F

    Fractal Analytics

    Quantum Computing For Everyone - An Introduction

    Skills you'll gain: Cloud Computing, Information Technology, Cybersecurity, Machine Learning Algorithms, Critical Thinking, Simulations

    4.1
    Rating, 4.1 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

    Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles

    Intermediate · 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, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Machine Learning Methods, Deep Learning, Psychology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts, Part 1

    Skills you'll gain: Distributed Computing, NoSQL, Apache Cassandra, Cloud Computing, Systems Design, Data Storage Technologies, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Quantum Computing with Qiskit and Advanced Algorithms

    Skills you'll gain: Algorithms, Computer Hardware, Cryptography, Python Programming, Computer Programming, Computational Thinking, Emerging Technologies, Technical Documentation, Theoretical Computer Science, Linear Algebra, Simulations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Concurrent Programming in Java

    Skills you'll gain: Java Programming, Java, Data Structures, System Programming, Programming Principles, Debugging, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    663 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel Programming in Java

    Skills you'll gain: Dataflow, Java, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Computer Science

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

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Logic for Computer Science

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Analytical Skills, Theoretical Computer Science, Computational Thinking, Computer Science, Data Analysis, Computer Programming, Verification And Validation, Algorithms, Program Development, Software Development, Machine Learning

    Beginner · Course · 1 - 3 Months

Searches related to parallel computing

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introduction to high-performance and parallel computing
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1…567…337

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

  • Cloud Virtualization, Containers and APIs: Duke University
  • CUDA Advanced Libraries: Johns Hopkins University
  • Introduction to AWS for Cloud Beginners: Simplilearn
  • CUDA at Scale for the Enterprise: Johns Hopkins University
  • Quantum Computing For Everyone - An Introduction : Fractal Analytics
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Computational Vision: University of Colorado Boulder
  • Cloud Computing Concepts, Part 1: University of Illinois Urbana-Champaign
  • Quantum Computing with Qiskit and Advanced Algorithms: Packt
  • Concurrent Programming in Java: Rice University

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