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High Performance Computing Courses

High Performance Computing courses can help you learn parallel processing, algorithm optimization, and data management techniques. You can build skills in performance tuning, workload balancing, and utilizing distributed systems effectively. Many courses introduce tools such as MPI, OpenMP, and CUDA, that support implementing high-performance applications and conducting simulations in fields like scientific computing and big data analysis.


More to explore:

Popular High Performance Computing Courses and Certifications


  • Status: Preview
    Preview
    L

    LearnQuest

    Real-Time Big Data Access using HBase: Boosting Performance

    Skills you'll gain: Operational Databases, NoSQL, Real Time Data, Scalability, Database Design, Application Deployment, Data Infrastructure, Big Data, Data Manipulation, Performance Tuning, Data Modeling, Distributed Computing, Data Storage Technologies

    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
    G

    Google Cloud

    Google Cloud Compute and Scalability for Azure Professionals

    Skills you'll gain: Virtual Machines, Google Cloud Platform, Microsoft Azure, Load Balancing, Cloud Computing Architecture, Public Cloud, Multi-Cloud, Cloud Infrastructure, Virtual Networking, Servers, Network Routing, Firewall, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • 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 California San Diego

    Big Data Integration and Processing

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Theory

    Skills you'll gain: Application Specific Integrated Circuits, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Development, Amazon Web Services, Hardware Architecture, Cloud Applications, Performance Tuning, Computer Architecture, Development Environment, System Design and Implementation, Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HDFS Architecture and Programming

    Skills you'll gain: Apache Hadoop, File Systems, Big Data, Data Infrastructure, Java, Data Structures, File Management, Systems Architecture, Data Processing, Distributed Computing, Data Storage, Development Environment, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Intel

    Intel Network Platform, Capabilities & Best Practices

    Skills you'll gain: Network Architecture, Cloud Computing Architecture, Cloud Infrastructure, Network Infrastructure, Cloud Platforms, Cloud-Native Computing, Hardware Architecture, Networking Hardware, Virtualization, Risk Management Framework, Interoperability, Software Architecture, Enterprise Architecture, System Configuration

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Improving Network Performance I

    Skills you'll gain: Network Performance Management, Network Monitoring, Performance Tuning, Virtual Networking, Google Cloud Platform, Performance Testing, Network Analysis, Hardware Architecture, Intranet

    Intermediate · 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

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Using Linux Tools and Libraries - 7

    Skills you'll gain: File I/O, Embedded Software, C (Programming Language), Linux, Embedded Systems, Build Tools, Command-Line Interface, Operating Systems, Program Development, Software Installation, Development Environment, Application Development, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32 reviews

    Beginner · 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

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

  • Real-Time Big Data Access using HBase: Boosting Performance: LearnQuest
  • Advanced .NET with TPL & PLINQ: Conducting Performance Boost: Coursera
  • Google Cloud Compute and Scalability for Azure Professionals: Google Cloud
  • Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster: Google Cloud
  • Big Data Integration and Processing: University of California San Diego
  • Developing FPGA-accelerated cloud applications with SDAccel: Theory: Politecnico di Milano
  • HDFS Architecture and Programming: Johns Hopkins University
  • Intel Network Platform, Capabilities & Best Practices: Intel
  • Improving Network Performance I: Google Cloud
  • Principles of Computing (Part 2): Rice University

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