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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
      L

      LearnQuest

      Learning Linux for LFCA Certification

      Skills you'll gain: Package and Software Management, Linux Administration, Linux, Linux Commands, Linux Servers, Virtual Private Networks (VPN), System Monitoring, Public Key Infrastructure, File Management, Command-Line Interface, Intrusion Detection and Prevention, Git (Version Control System), File Systems, User Accounts, Firewall, Remote Access Systems, Cloud Computing Architecture, DevOps, Virtualization, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Containers w/ Docker, Kubernetes & OpenShift

      Skills you'll gain: Istio, Kubernetes, Cloud-Native Computing, Containerization, OpenShift, Docker (Software), Application Deployment, CI/CD, Command-Line Interface, YAML, Microservices, Scalability

      4.4
      Rating, 4.4 out of 5 stars
      ·
      964 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google Cloud

      Google Cloud Cybersecurity

      Skills you'll gain: Cloud Security, Identity and Access Management, Intrusion Detection and Prevention, Computer Security Incident Management, Threat Management, Cyber Threat Hunting, Risk Management Framework, Cyber Attacks, Cyber Operations, Vulnerability Management, Continuous Monitoring, Event Monitoring, Disaster Recovery, Incident Management, Generative AI, DevSecOps, Cloud Computing, Data Security, Google Cloud Platform, Cybersecurity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      320 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Your Associate Cloud Engineer Journey

      Skills you'll gain: Cloud Engineering, Cloud Computing, Identity and Access Management, Google Cloud Platform, Cloud Infrastructure, Cloud Solutions, Cloud Security, Cloud Storage, Network Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data Modeling and Management Systems

      Skills you'll gain: Data Modeling, Big Data, Data Management, Database Management Systems, Real Time Data, NoSQL, Database Design, Apache Hadoop, Data Structures, Scalability, Virtual Environment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      459 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to Data Engineering

      Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Data Transformation, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      372 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Java

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Java FullStack Developer

      Skills you'll gain: Angular, Web Applications, HTML and CSS, Web Development, Eclipse (Software), JavaScript Frameworks, Spring Boot, Object Oriented Programming (OOP), Restful API, Java Programming, Model View Controller, Object Oriented Design, Hypertext Markup Language (HTML), Front-End Web Development, Software Development Tools, Spring Framework, Java, Web Services, Javascript, Integrated Development Environments

      4.4
      Rating, 4.4 out of 5 stars
      ·
      659 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Linear Algebra, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Learning Linux for LFCA Certification: LearnQuest
    • Introduction to Containers w/ Docker, Kubernetes & OpenShift: IBM
    • Introduction to Neural Networks and PyTorch: IBM
    • Google Cloud Cybersecurity: Google Cloud
    • Preparing for Your Associate Cloud Engineer Journey: Google Cloud
    • Big Data Modeling and Management Systems: University of California San Diego
    • MLOps | Machine Learning Operations: Duke University
    • Introduction to Data Engineering: DeepLearning.AI
    • Introduction to Java: LearnQuest
    • Java FullStack Developer: Board Infinity

    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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