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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
    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

  • 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 Management Systems, Database Systems, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Query Languages, Big Data, Databases, Data Processing, Machine Learning, SQL, Data Access

    Intermediate · Specialization · 1 - 3 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

  • 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: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Cloud Computing for Data Science

    Skills you'll gain: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture

    Build toward a degree

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    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: 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
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    120 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    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, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    U

    University of London

    Logic and Reasoning for Computing

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Computer Science, Critical Thinking, Computational Thinking, Business Logic, Algorithms, Mathematical Modeling, Problem Solving, Strategic Communication

    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
    P

    Packt

    Train Large Language Models Faster - Parallelism Deep Dive

    Skills you'll gain: Generative AI

    Intermediate · Course · 3 - 6 Months

Searches related to parallel computing

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

  • Social Computing: Johns Hopkins University
  • Large-Scale Database Systems: Johns Hopkins University
  • Introduction to Parallel Programming with CUDA: Johns Hopkins University
  • Concurrent and Parallel Programming in Python: Packt
  • Cloud Computing for Data Science: University of Pittsburgh
  • MIPS Computer Architecture and Performance Optimization: Birla Institute of Technology & Science, Pilani
  • Blockchain Scalability and its Foundations in Distributed Systems: The University of Sydney
  • Applied Mathematical Methods for Computing: University of London
  • Logic and Reasoning for Computing: University of London
  • GPU Clusters & Containers: Coursera

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