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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
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Store, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Real Time Data, Cloud Computing, Databases, Analytics, Deep Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Scalability, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    343 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Enterprise Computing

    Skills you'll gain: Mainframe Computing, Mainframe Technologies, z/OS, Virtualization, Virtualization and Virtual Machines, Virtual Machines, Hardware Architecture, Infrastructure Architecture, Computing Platforms, Computer Architecture, Enterprise Security, Computer Hardware, Cryptography, Transaction Processing, System Configuration, Authorization (Computing), Identity and Access Management, Memory Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Building Modern Distributed Systems with Java

    Skills you'll gain: Distributed Computing, Java Programming, Java, Load Balancing, Middleware, Database Management Systems, NoSQL, Event-Driven Programming, Databases, Systems Architecture, Software Architecture, Computer Systems, Remote Access Systems, Microservices, Scalability, Service Management, Communication Systems

    Intermediate · Course · 1 - 3 Months

  • 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 Infrastructure, Model Optimization, Cloud Computing Architecture, Performance Tuning, Computer Architecture, AI Workflows, Model Training, Artificial Intelligence, Hardware Architecture, Systems Architecture

    4.2
    Rating, 4.2 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Mind and Machine

    Skills you'll gain: Problem Solving, Agentic systems, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Statistical Modeling, Probability Distribution, Decision Intelligence, Convolutional Neural Networks, Logical Reasoning, Algorithms, Human Development, Behavioral Economics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI literacy, Theoretical Computer Science, Psychology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    374 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Computing for Cancer Informatics

    Skills you'll gain: Computer Systems, Informatics, Data Processing, Computing Platforms, Health Informatics, Bioinformatics, Data Storage Technologies, Data Storage, Computer Literacy, Computer Hardware, Big Data, Data-Driven Decision-Making, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Java SE 17 Developer (1Z0-829): Unit 5

    Skills you'll gain: Java Programming, Functional Design, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Statistical Methods, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Skills you'll gain: Dashboard Creation, Interactive Data Visualization

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    AI 基础设施:存储选项

    Skills you'll gain: Model Deployment, Google Cloud Platform, Data Infrastructure, Cloud Storage, Cloud Infrastructure, Data Management, Cloud Solutions, Data Processing, Data Storage, Model Training, Data Storage Technologies, MLOps (Machine Learning Operations), AI Workflows, Data Preprocessing, Capacity Management

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Algorithms, Python Programming, Game Design, General Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Concurrent Programming in Java

    Skills you'll gain: Java Programming, Java, Data Structures, System Programming, Programming Principles, Computer Programming, Algorithms, Computer Science, Data Sharing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    664 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Introduction to Enterprise Computing: IBM
  • Building Modern Distributed Systems with Java: Packt
  • AI Infrastructure: Introduction to AI Hypercomputer: Google Cloud
  • Mind and Machine: University of Colorado Boulder
  • Computing for Cancer Informatics: Johns Hopkins University
  • Java SE 17 Developer (1Z0-829): Unit 5: Pearson
  • Program Structure and Algorithms Part 2: Northeastern University
  • Data Processing, Exploratory Analysis and Visualization: Microsoft
  • AI 基础设施:存储选项: Google Cloud

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