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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
    P

    Politecnico di Milano

    Technologies and platforms for Artificial Intelligence

    Skills you'll gain: AI Enablement, Artificial Intelligence, Cloud Platforms, Deep Learning, Hardware Architecture, Information Technology, Internet Of Things, Machine Learning Methods, Cloud Computing, Embedded Systems, Data Centers

    4.8
    Rating, 4.8 out of 5 stars
    ·
    90 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    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, 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
    ·
    67 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    YARN MapReduce Architecture and Advanced Programming

    Skills you'll gain: Apache Hadoop, Data Processing, Distributed Computing, Performance Tuning, Big Data, Software Architecture, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

    Skills you'll gain: Cloud Infrastructure, Cloud Services, Cloud Computing, Cloud Storage, Cloud Platforms, Infrastructure As A Service (IaaS), Data Storage, Middleware, Containerization, Virtualization, Virtual Machines, Cloud Applications, Amazon S3, Platform As A Service (PaaS), Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Distributed Image Processing in Cloud Dataproc

    Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    CUDA Advanced Libraries

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Linear Algebra, Mathematical Software, Numerical Analysis, Machine Learning, Digital Signal Processing, Data Processing, Data Structures, Data Transformation, Algorithms, Data Science

    3.1
    Rating, 3.1 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Practice

    Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Applications, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Performance Tuning, Computer Architecture, Hardware Architecture, System Design and Implementation, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster

    Skills you'll gain: Google Cloud Platform, Cloud Computing, Cloud Management, Cloud Infrastructure, Jupyter, System Configuration, Cloud Applications

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Project

    Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Platforms, Cloud Computing Architecture, Cloud Services, Virtual Networking, Distributed Computing

    4
    Rating, 4 out of 5 stars
    ·
    41 reviews

    Mixed · Course · 1 - 3 Months

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

  • Technologies and platforms for Artificial Intelligence: Politecnico di Milano
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Computational Vision: University of Colorado Boulder
  • AI Infrastructure: Introduction to AI Hypercomputer: Google Cloud
  • YARN MapReduce Architecture and Advanced Programming: Johns Hopkins University
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure: University of Illinois Urbana-Champaign
  • Distributed Image Processing in Cloud Dataproc: Google Cloud
  • CUDA Advanced Libraries: Johns Hopkins University
  • FPGA computing systems: A Bird’s Eye View: Politecnico di Milano
  • Developing FPGA-accelerated cloud applications with SDAccel: Practice: Politecnico di Milano

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