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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: New
      New
      G

      Google Cloud

      BigQuery para analistas de datos

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Data Manipulation and Cleaning in R

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Data Transformation, Tidyverse (R Package), R Programming, Data Validation, Exploratory Data Analysis, Data Analysis, Data Integrity, Text Mining, Data Structures, Generative AI

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上使用生成式 AI 进行网站现代化改造

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 運用生成式 AI 翻新網站

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Solution Design

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Maintainability, Test Automation, Software Testing, Version Control, Test Driven Development (TDD), Git (Version Control System), Software Architecture, Continuous Integration, Software Design, Unit Testing, Acceptance Testing, Usability, Regression Testing, Software Design Patterns, Web Content Accessibility Guidelines, Agile Software Development, Quality Assurance, Angular, Unified Modeling Language

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: User Story, SQL, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Field-Programmable Gate Array (FPGA), Failure Analysis, Delegation Skills, Object Oriented Design, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Database Design, Unsupervised Learning, Goal Setting, Generative AI, Process Capability

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      Graduate Certificate in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • W

      West Virginia University

      Master of Science in Software Engineering

      Skills you'll gain: Unified Modeling Language, Verification And Validation, Threat Modeling, Enterprise Architecture, Security Management, Secure Coding, Scope Management, Application Security, Financial Statements, Proposal Development, Cash Flows, Object Oriented Design, Requirements Analysis, Software Design, Security Requirements Analysis, Database Design, Software Visualization, Object Oriented Programming (OOP), Business Process Management, Mobile Development

      Earn a degree

      Degree · 1 - 4 Years

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

    • BigQuery para analistas de datos: Google Cloud
    • Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화: Google Cloud
    • Data Manipulation and Cleaning in R: Microsoft
    • 在 Google Cloud 上使用生成式 AI 进行网站现代化改造: Google Cloud
    • 在 Google Cloud 運用生成式 AI 翻新網站: Google Cloud
    • 在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成: Google Cloud
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Master of Data Science: University of Pittsburgh
    • Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
    • Master of Science in Data Science: University of Colorado Boulder

    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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