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    • Parallel Computing

    Parallel Computing Courses Online

    Learn parallel computing for high-performance computing applications. Understand how to design and implement parallel algorithms.

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    Explore the Parallel Computing Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      CUDA Advanced Libraries

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Numerical Analysis, Data Processing, Data Structures, Performance Tuning, Data Transformation, Algorithms

      3
      Rating, 3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Getting Started with Google Workspace en Español

      Skills you'll gain: Google Docs, Gmail, Google Sheets, Google Workspace, Presentations, Spreadsheet Software, Calendar Management, Collaborative Software, Version Control, File Management, Document Management, Excel Formulas, Excel Macros, Data Visualization, Meeting Facilitation, Setting Appointments, Email Security, Productivity Software, Product Demonstration, Sales Presentations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      601 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Primer

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Artificial Intelligence, Innovation, Large Language Modeling, Creativity, Creative Problem-Solving, Human Machine Interfaces, Collaboration, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      289 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Blockchain

      Skills you'll gain: Blockchain, Cryptography, Encryption, FinTech, Data Sharing, Transaction Processing, Distributed Computing, Payment Systems, Supply Chain Systems, Data Integrity, Emerging Technologies, Digital Assets, Authentications, Software Systems, Data Security, Computer Systems, Software Architecture, Network Security, Version Control, Network Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      222 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Kubernetes Engine 日本語版

      Skills you'll gain: Kubernetes, Cloud Infrastructure, Google Cloud Platform, Containerization, Application Deployment, Infrastructure As A Service (IaaS), Cloud Applications, Cloud Computing, Cloud Storage, Cloud Services, CI/CD, Identity and Access Management, Scalability, Network Infrastructure, Continuous Integration, Continuous Deployment, Cloud Management, Virtual Machines, DevOps, Continuous Delivery

      4.5
      Rating, 4.5 out of 5 stars
      ·
      718 reviews

      Beginner · Specialization · 3 - 6 Months

    • O

      Oracle

      Oracle Cloud Infrastructure Foundations

      Skills you'll gain: Oracle Cloud, Oracle Databases, Identity and Access Management, Cloud Computing Architecture, Cloud Infrastructure, Database Application, Cloud Security, Data Storage, Cloud Storage, Data Storage Technologies, Cloud Computing, Infrastructure As A Service (IaaS), Data Security, Authorization (Computing), Authentications, Network Infrastructure, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      226 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Introduction to Operating Systems

      Skills you'll gain: File Systems, Operating Systems, OS Process Management, C (Programming Language), System Programming, Virtualization, Data Integrity, Debugging, Systems Design, Performance Tuning, Distributed Computing, Data Storage, Virtual Machines, Command-Line Interface, Computer Systems, Programming Principles, Computer Hardware, Virtualization and Virtual Machines, Scalability, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      258 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Fundamentals of Java Programming

      Skills you'll gain: Eclipse (Software), Object Oriented Programming (OOP), Java Programming, Object Oriented Design, Java, Integrated Development Environments, Development Environment, Computer Programming, Programming Principles, Virtual Machines

      4.4
      Rating, 4.4 out of 5 stars
      ·
      508 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Semiconductor Packaging

      Skills you'll gain: Statistical Process Controls, Process Control, Semiconductors, Quality Assurance, Verification And Validation, Manufacturing Operations, Manufacturing Processes, Manufacturing Standards, Electronics, Process Analysis, Product Testing, Reliability, Electronic Components, Electronic Systems, Computer Hardware, Computer Architecture, Hardware Architecture, Thermal Management, Scalability, Electronics Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      206 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Getting Started with R

      Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Literacy, Software Installation, Data Analysis Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      380 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure en Español

      Skills you'll gain: Cloud Infrastructure, Cloud Applications, Identity and Access Management, Infrastructure As A Service (IaaS), Google Cloud Platform, Kubernetes, Cloud Services, Public Cloud, Cloud Computing, Network Infrastructure, Cloud Storage, Containerization, Platform As A Service (PaaS), Serverless Computing, Load Balancing, Data Storage Technologies, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      An Introduction to Interactive Programming in Python (Part 2)

      Skills you'll gain: Application Development, Object Oriented Programming (OOP), Event-Driven Programming, Interactive Design, User Interface (UI), Program Development, Animations, Game Design, Programming Principles, Python Programming, Computer Programming, Data Structures, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    Parallel Computing learners also search

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    1…373839…284

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

    • CUDA Advanced Libraries: Johns Hopkins University
    • Getting Started with Google Workspace en Español: Google Cloud
    • Generative AI Primer: Vanderbilt University
    • Blockchain: University of California, Irvine
    • Architecting with Google Kubernetes Engine 日本語版: Google Cloud
    • Oracle Cloud Infrastructure Foundations: Oracle
    • Introduction to Operating Systems: Codio
    • Fundamentals of Java Programming: Board Infinity
    • Semiconductor Packaging: Arizona State University
    • Getting Started with R: Coursera Project Network

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Parallel Computing

    Parallel computing is the design, study, and process of using algorithms to make multiple computers solve computational problems simultaneously. In parallel computing, problems are split up into several parts for more than two computers to work on at the same time. These parts each have their own set of instructions that are executed on multiple central processing units (CPUs).

    Parallel computing speeds up problem-solving in computational learning. Previously, most computations were done individually by software written for use on a single computer with one CPU. This meant that only one instruction could be executed at any time.‎

    It's important to learn about parallel computing because it is the primary system used by programmers today to increase computation power for faster application problem solving and processing power. From multi-core personal computers to supercomputers, parallel computing is what is driving the core processing power.

    A processor is the computing power that drives your phone, laptop, and tablet. With more power in the processor, applications will run faster and better on your mobile device. Even smartphones are using multicore processing power, with some up to four and eight cores. Parallel computing helps to make this possible. This alone makes parallel computing worth knowing about for its current device applications and also its growing importance into the future.‎

    Learning parallel computing can bring you into careers as a parallel programming architect, a software engineer, or a high performance computing engineer. Many companies are looking for computing talents who can deliver and innovate in the graphics and parallel computing fields.

    Companies are continually looking to develop new parallel programming models for their GPU architecture. This is where learning about parallel computing can help you to succeed. By gaining new knowledge for creating new infrastructures and new architectures in parallel computing, you can play a part in advancing the state-of-the-art graphics performance in parallel programming models.‎

    When you take online courses about parallel computing, you will understand programming, software development, and computational power more clearly. You will study topics like data-parallel programs, how to express the functions of common parallel algorithms, and how to write and use parallel code in programs that use parallel collections to achieve higher computational performance. In these courses, industry experts will teach you not just how parallel computing works in relation to modern GPU architecture, but also how you can use your knowledge base to advance your careers in our increasingly digital world.‎

    Online Parallel Computing courses offer a convenient and flexible way to enhance your knowledge or learn new Parallel Computing skills. Choose from a wide range of Parallel Computing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Parallel Computing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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