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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

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      Google Cloud

      Menggunakan BigQuery Machine Learning untuk Inferensi

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      Mengintegrasikan Aplikasi dengan Gemini 1.0 Pro di GC

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      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

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      Google Cloud

      運用 BigQuery 建立嵌入項目、向量搜尋和 RAG

      Skills you'll gain:

      Advanced · Course · 1 - 4 Weeks

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      Google Cloud

      Integrar aplicativos com o Gemini 1.0 Pro no Google Cloud

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      Machine Learning in the Enterprise - Italiano

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Business Workflow Analysis, Machine Learning, Data Pipelines, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering

      Intermediate · Course · 1 - 3 Months

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      Packt

      The Docker Masterclass for Beginners

      Skills you'll gain: Docker (Software), CI/CD, Development Environment, Continuous Integration, Containerization, Continuous Deployment, Application Deployment, DevOps, Linux, YAML, Web Applications

      Beginner · Course · 1 - 3 Months

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      Google Cloud

      使用 BigQuery 机器学习推理功能

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      Vector Search and Embeddings - Français

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Google Cloud Platform, Natural Language Processing, Text Mining, Application Programming Interface (API), Machine Learning Methods, Cloud Computing, Cloud Services

      Intermediate · Course · 1 - 4 Weeks

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      Adobedx

      Introduction to Adobe Commerce

      Skills you'll gain: E-Commerce, Business Development, Scalability, B2B Sales, Business Solutions, Order Management, Customer Engagement

      Beginner · Course · 1 - 4 Weeks

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      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, Cloud Services, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

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

    • Menggunakan BigQuery Machine Learning untuk Inferensi: Google Cloud
    • Mengintegrasikan Aplikasi dengan Gemini 1.0 Pro di GC: Google Cloud
    • 在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成: Google Cloud
    • 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
    • Integrar aplicativos com o Gemini 1.0 Pro no Google Cloud: Google Cloud
    • Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화: Google Cloud
    • Machine Learning in the Enterprise - Italiano: Google Cloud
    • The Docker Masterclass for Beginners: Packt
    • 使用 BigQuery 机器学习推理功能: Google Cloud
    • Vector Search and Embeddings - Français: 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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