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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
    U

    University of Illinois Urbana-Champaign

    Cloud Computing

    Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Cloud Platforms, Network Architecture, Computer Networking, File Systems, Apache Hadoop, Cloud Applications, Apache Mahout, Cloud Computing Architecture, Infrastructure As A Service (IaaS), Data Storage, Middleware, Software-Defined Networking, NoSQL

    4.3
    Rating, 4.3 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Parallel Programming with CUDA

    Skills you'll gain: Performance Tuning, Data-oriented programming, System Programming, C and C++, Computer Architecture, Algorithms, Development Environment, Debugging

    2.7
    Rating, 2.7 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Large-Scale Database Systems

    Skills you'll gain: Data Warehousing, Apache Hadoop, Distributed Computing, Scalability, Transaction Processing, Database Design, Database Systems, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Databases, Cloud Computing, Query Languages, Big Data, Data Processing, Machine Learning, SQL, Data Access, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Big Data Processing Using Hadoop

    Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, Databases, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    13 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Concurrent and Parallel Programming in Python

    Skills you'll gain: Performance Tuning, Python Programming, OS Process Management, Data Processing, Scalability, Database Management

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Sydney

    Blockchain Scalability and its Foundations in Distributed Systems

    Skills you'll gain: Blockchain, Distributed Computing, Security Engineering, Network Security, Scalability, Cryptography, Data Integrity, Transaction Processing, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    120 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    MIPS Computer Architecture and Performance Optimization

    Skills you'll gain: Computer Architecture, Hardware Architecture, Computer Systems, Hardware Design, Computer Engineering, System Programming, File Systems, Algorithms, Cloud Platforms

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Scaling High-Performance Node.js Applications

    Skills you'll gain: Scalability, Node.JS, Distributed Computing, Load Balancing, Performance Tuning, Systems Architecture, Redis, Application Performance Management, Microservices, OS Process Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    GPU Clusters & Containers

    Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Kubernetes, AI Workflows, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Skills you'll gain: PySpark, Apache Spark, Power BI, Data Visualization Software, Big Data, Distributed Computing, Databricks, Dashboard, SQL, Data Processing, Data Transformation, Performance Tuning, Performance Analysis

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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 Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming

    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

  • Cloud Computing: University of Illinois Urbana-Champaign
  • Introduction to Parallel Programming with CUDA: Johns Hopkins University
  • Large-Scale Database Systems: Johns Hopkins University
  • Big Data Processing Using Hadoop: Johns Hopkins University
  • Social Computing: Johns Hopkins University
  • Concurrent and Parallel Programming in Python: Packt
  • Blockchain Scalability and its Foundations in Distributed Systems: The University of Sydney
  • MIPS Computer Architecture and Performance Optimization: Birla Institute of Technology & Science, Pilani
  • Scaling High-Performance Node.js Applications: Packt
  • GPU Clusters & Containers: Coursera

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