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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

    • G

      Google Cloud

      Google Workspace Mail Management - Português Brasileiro

      Skills you'll gain: Email Security, Data Loss Prevention, Google Workspace, Security Management, Threat Management, Malware Protection, Network Routing, Threat Detection

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 日本語版

      Skills you'll gain: Data Ethics, Artificial Intelligence, Software Visualization, Data Integrity, Data Governance, Data Quality, Applied Machine Learning, Machine Learning, Technical Documentation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud VMware Engine の基礎

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Memulai Security Command Center Enterprise

      Skills you'll gain:

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Security Command Center Enterprise 使用入门

      Skills you'll gain:

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Polski

      Skills you'll gain: Generative AI, Google Cloud Platform, Information Privacy, Cloud Security, Personally Identifiable Information, Data Ethics, Application Security, Data Security, Artificial Intelligence, Security Controls, Cloud Services, Safety and Security

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Load Balancing - 日本語版

      Skills you'll gain: Load Balancing, Hybrid Cloud Computing, Google Cloud Platform, Network Performance Management, Cloud Security, Network Routing, Performance Tuning, Distributed Denial-Of-Service (DDoS) Attacks

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Connect: Introduction to the Administrative Interface

      Skills you'll gain: Dashboard, Report Writing, Business Reporting, Management Reporting, Performance Reporting, Ad Hoc Reporting, Real Time Data, Call Center Experience, Administration, Workforce Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      透過 BigQuery 機器學習執行推論作業

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Premiers pas avec Security Command Center Enterprise

      Skills you'll gain:

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Cloud Architects - 日本語版

      Skills you'll gain: Google Cloud Platform, Kubernetes, Prompt Engineering, Cloud Infrastructure, Infrastructure as Code (IaC), Application Deployment, Generative AI, Cloud Computing Architecture, Shell Script

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      BigQuery para analistas de dados

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

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

    • Google Workspace Mail Management - Português Brasileiro: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
    • Google Cloud VMware Engine の基礎: Google Cloud
    • Memulai Security Command Center Enterprise: Google Cloud
    • Security Command Center Enterprise 使用入门: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Polski: Google Cloud
    • Networking in Google Cloud: Load Balancing - 日本語版: Google Cloud
    • Amazon Connect: Introduction to the Administrative Interface: Amazon Web Services
    • 透過 BigQuery 機器學習執行推論作業: Google Cloud
    • Premiers pas avec Security Command Center Enterprise: Google Cloud

    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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