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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
    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
    Free
    C

    Coursera

    Advanced .NET with TPL & PLINQ: Conducting Performance Boost

    Skills you'll gain: .NET Framework, Performance Tuning, Debugging, Performance Testing, C# (Programming Language), Data-oriented programming, Application Development

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Verification And Validation, Game Theory, Mathematical Modeling, Test Case, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Building Modern Distributed Systems with Java

    Skills you'll gain: Distributed Computing, Java, Middleware, NoSQL, Event-Driven Programming, Databases, Software Architecture, Servers, Web Services, Microservices, Scalability, Transaction Processing

    Intermediate · Course · 1 - 3 Months

  • 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, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles, Data Storage Technologies

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial
    Free Trial
    G

    Georgia Institute of Technology

    Cloud Systems Software

    Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Infrastructure, Distributed Computing, Virtualization, Data Store, Software Systems, Multi-Tenant Cloud Environments, Virtual Machines, Scalability, Apache Hadoop

    4.6
    Rating, 4.6 out of 5 stars
    ·
    319 reviews

    Mixed · Course · 1 - 3 Months

  • 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

  • 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

  • G

    Google Cloud

    Running Distributed TensorFlow using Vertex AI

    Skills you'll gain: Tensorflow, Google Cloud Platform, Model Deployment, Image Analysis, Cloud Deployment, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing

    Intermediate · Project · Less Than 2 Hours

  • 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, Public Cloud, 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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1…8910…364

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

  • Technologies and platforms for Artificial Intelligence: Politecnico di Milano
  • Advanced .NET with TPL & PLINQ: Conducting Performance Boost: Coursera
  • Principles of Computing (Part 2): Rice University
  • Building Modern Distributed Systems with Java: Packt
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure: University of Illinois Urbana-Champaign
  • Cloud Systems Software: Georgia Institute of Technology
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Distributed Image Processing in Cloud Dataproc: Google Cloud
  • Running Distributed TensorFlow using Vertex AI: Google Cloud

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