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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
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AI Fundamentals and the Cloud

      Skills you'll gain: Prompt Engineering, Data Ethics, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Large Language Modeling, Generative AI, Business Ethics, Machine Learning, Application Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Google Cloud

      Wissensaustausch mit Agentspace beschleunigen

      Skills you'll gain: Application Deployment, Google Workspace, Data Integration, OAuth, Google Docs, Generative AI Agents, Google Sheets, Enterprise Application Management, Data Access, Cloud Applications, Data Store, Productivity Software, Application Programming Interface (API), System Configuration, Information Architecture, Identity and Access Management, AWS Identity and Access Management (IAM), Search Engine Marketing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      BigQuery para analistas de dados

      Skills you'll gain: Looker (Software), Big Data, SQL, Data Analysis, Dashboard, Business Intelligence, Data Warehousing, Data Visualization Software, Data Manipulation, Extract, Transform, Load, Data Pipelines, Data Transformation, Data Cleansing, Data Processing, Data Import/Export, Data Storage Technologies

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Créer des agents d'IA générative avec Vertex AI et Flutter

      Skills you'll gain: Flutter (Software), Generative AI Agents, Generative AI, Google Cloud Platform, Cross Platform Development, Mobile Development, Application Development, Artificial Intelligence

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Docker - Data Persistence and Orchestration

      Skills you'll gain: Docker (Software), Web Applications, Containerization, Development Environment, Devops Tools, CI/CD, YAML, Service Management, Network Planning And Design, Data Storage, Data Management, Command-Line Interface, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Docker Fundamentals - Understanding Containers and Images

      Skills you'll gain: Docker (Software), Containerization, Application Deployment, Command-Line Interface, Development Environment, Nginx, Software Installation, Node.JS, Linux, React.js

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Secure VPC Networks with Cloud Next Generation Firewall

      Skills you'll gain: Firewall, Network Security, Intrusion Detection and Prevention, Cloud Security, Infrastructure Security, Security Controls, Threat Detection, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud における生成 AI を使用したウェブサイトのモダナイゼーション

      Skills you'll gain: Generative AI, AI Personalization, Web Analytics and SEO, Web Content, Prompt Engineering, Google Cloud Platform, User Experience, Content Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning in the Enterprise - Italiano

      Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Workflow Management, Business Workflow Analysis, Data Pipelines, Google Cloud Platform, Applied Machine Learning, Feature Engineering, Machine Learning, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      運用 Vertex AI 和 Flutter 打造生成式 AI 代理

      Skills you'll gain: Flutter (Software), Generative AI Agents, Generative AI, Google Cloud Platform, Mobile Development, Application Development, Cloud Applications, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      ArgoCD Essentials: Automating Kubernetes Deployments

      Skills you'll gain: Prometheus (Software), Kubernetes, CI/CD, DevOps, Continuous Deployment, Application Deployment, Containerization, YAML, Configuration Management, Command-Line Interface

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      使用 BigQuery 创建嵌入、向量搜索和 RAG

      Skills you'll gain: Generative AI, Data Pipelines, Big Data, Query Languages, Feature Engineering, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

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

    • AI Fundamentals and the Cloud: Amazon Web Services
    • Wissensaustausch mit Agentspace beschleunigen: Google Cloud
    • BigQuery para analistas de dados: Google Cloud
    • Créer des agents d'IA générative avec Vertex AI et Flutter: Google Cloud
    • Advanced Docker - Data Persistence and Orchestration: Packt
    • Docker Fundamentals - Understanding Containers and Images: Packt
    • Secure VPC Networks with Cloud Next Generation Firewall: Google Cloud
    • Google Cloud における生成 AI を使用したウェブサイトのモダナイゼーション: Google Cloud
    • Machine Learning in the Enterprise - Italiano: Google Cloud
    • 運用 Vertex AI 和 Flutter 打造生成式 AI 代理: 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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