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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
      U

      University at Buffalo

      Blockchain Platforms

      Skills you'll gain: Blockchain, Emerging Technologies, Distributed Computing, Microsoft Azure, FinTech, Cloud Computing Architecture, Platform As A Service (PaaS), Cryptography, Open Source Technology, Scalability, Data Storage, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for your Professional Data Engineer Journey

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Storage, Data Analysis, Data Processing, Data Infrastructure, Data Management, Data Migration, Data Warehousing, Data Strategy, Automation, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Software Developer Career Guide and Interview Preparation

      Skills you'll gain: Interviewing Skills, Engineering Software, Professional Development, Application Development, LinkedIn, Software Development, Software Engineering, Technical Design, Software Testing, DevOps, Problem Solving, Verbal Communication Skills, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      270 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Kubernetes Engine 日本語版

      Skills you'll gain: Prompt Engineering, Kubernetes, Google Cloud Platform, Cloud Infrastructure, Containerization, Cloud Services, Identity and Access Management, Infrastructure As A Service (IaaS), Application Deployment, Cloud Computing, Virtual Machines, Cloud Storage, Cloud-Native Computing, Large Language Modeling, CI/CD, Application Development, Scalability, Network Infrastructure, Cloud Management, Cloud Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      718 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Custom and Distributed Training with TensorFlow

      Skills you'll gain: Tensorflow, Deep Learning, Distributed Computing, Performance Tuning, Machine Learning Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      434 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Explore Core Data Concepts in Microsoft Azure

      Skills you'll gain: Microsoft Azure, Data Processing, Databases, Database Systems, Data Storage, Database Management, Relational Databases, Query Languages, NoSQL, Transaction Processing, Data Management, Cloud Computing, Data Analysis, Unstructured Data, Data Visualization Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      455 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      APIs

      Skills you'll gain: Restful API, Django (Web Framework), API Design, Software Documentation, Application Programming Interface (API), Authentications, Authorization (Computing), Test Tools, Debugging, JSON, Performance Tuning, Data Validation, Extensible Markup Language (XML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      340 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Calendar

      Skills you'll gain: Google Workspace, Calendar Management, Setting Appointments, Collaborative Software, Organizational Skills, Productivity Software, Scheduling, Event Management, Data Sharing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      326 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Security Engineer Associate (AZ-500)

      Skills you'll gain: Azure Active Directory, Data Security, Multi-Factor Authentication, Microsoft Azure, Role-Based Access Control (RBAC), Cloud Security, Active Directory, Threat Modeling, Security Strategy, Data Storage, Application Security, Database Architecture and Administration, Virtual Machines, Infrastructure Security, Kubernetes, Continuous Monitoring, Web Applications, Cyber Governance, System Monitoring, Network Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      114 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • T

      Technical University of Denmark (DTU)

      Introduction to Industrial Bioprocess Development

      Skills you'll gain: Process Engineering, Chemical and Biomedical Engineering, Chemical Engineering, Sterilization, Microbiology, Process Control, Good Manufacturing Practices, Production Process, Biochemistry, Pharmaceuticals, Scalability, Manufacturing Processes, Process Development, Laboratory Testing, Engineering Calculations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Beginner · Course · 1 - 3 Months

    Parallel Computing learners also search

    Technology
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    Blockchain
    Meta
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    1…343536…285

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

    • Blockchain Platforms: University at Buffalo
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • Preparing for your Professional Data Engineer Journey: Google Cloud
    • Software Developer Career Guide and Interview Preparation: IBM
    • Architecting with Google Kubernetes Engine 日本語版: Google Cloud
    • Custom and Distributed Training with TensorFlow: DeepLearning.AI
    • Explore Core Data Concepts in Microsoft Azure: Microsoft
    • APIs: Meta
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Google Calendar: 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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