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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

    • L

      LearnQuest

      Spring Framework

      Skills you'll gain: Spring Framework, Microservices, JUnit, Model View Controller, Hibernate (Java), Restful API, Application Frameworks, Spring Boot, Software Architecture, API Gateway, Web Services, Object-Relational Mapping, Transaction Processing, Java, Service Oriented Architecture, Cloud Computing Architecture, JSON, YAML, Unit Testing, Databases

      3.9
      Rating, 3.9 out of 5 stars
      ·
      669 reviews

      Beginner · Specialization · 1 - 3 Months

    • M

      Microsoft

      Microsoft Full-Stack Developer

      Skills you'll gain: CI/CD, GitHub, C# (Programming Language), HTML and CSS, Load Balancing, Continuous Integration, Git (Version Control System), Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Full-Stack Web Development, Web Development, Debugging, SQL, Application Deployment, Microsoft Azure, Microsoft Copilot, Graph Theory

      4.4
      Rating, 4.4 out of 5 stars
      ·
      136 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Engineer Professional Certificate en Español

      Skills you'll gain: Cloud Infrastructure, Kubernetes, Cloud Applications, Identity and Access Management, Google Cloud Platform, Containerization, Infrastructure As A Service (IaaS), Cloud Management, Cloud Engineering, Terraform, Load Balancing, Cloud Computing, Cloud Services, Cloud Computing Architecture, Application Deployment, Public Cloud, Data Storage, Infrastructure as Code (IaC), Cloud Solutions, Cloud Storage

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Custom Models, Layers, and Loss Functions with TensorFlow

      Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Network Architecture, API Design, Object Oriented Programming (OOP)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Reproducible Research

      Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, R Programming, Verification And Validation, Technical Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Computing, Ethics, and Society

      Skills you'll gain: Data Ethics, Security Awareness, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Information Privacy, Media and Communications, Machine Learning, Automation, Cultural Diversity, Personally Identifiable Information, Artificial Intelligence and Machine Learning (AI/ML), Social Justice, Law, Regulation, and Compliance, Emerging Technologies, Health Care

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      944 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      EC-Council

      Ethical Hacking Essentials (EHE)

      Skills you'll gain: Penetration Testing, Cloud Security, Vulnerability Assessments, Network Security, Threat Detection, Security Awareness, Cybersecurity, Application Security, Mobile Security, Internet Of Things, Authentications, Encryption, Wireless Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      548 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Semiconductor Devices

      Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Systems, Electronic Components, Physics, Electronics, Electrical and Computer Engineering, Electronics Engineering, Scalability, Differential Equations, Mathematical Modeling, Applied Mathematics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      601 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free
      Free
      H

      Hebrew University of Jerusalem

      Synapses, Neurons and Brains

      Skills you'll gain: Artificial Neural Networks, Neurology, Computer Science, Psychology, Basic Electrical Systems, Network Analysis, Anatomy, Simulation and Simulation Software, Computational Thinking, Mathematical Modeling, Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Bitcoin and Cryptocurrency Technologies

      Skills you'll gain: Blockchain, Cryptography, Encryption, Payment Systems, FinTech, Application Security, Digital Assets, Network Protocols, Data Mining, Transaction Processing, Data Storage, Distributed Computing, Emerging Technologies, Scripting, Public Affairs, Market Dynamics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • B

      Birla Institute of Technology & Science, Pilani

      Introduction to Programming

      Skills you'll gain: Programming Principles, C (Programming Language), Computer Hardware, Computer Programming, Computer Architecture, Computational Thinking, Data Structures, Algorithms, File Management, Operating Systems, Program Development, Debugging

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

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    1…272829…284

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

    • Spring Framework: LearnQuest
    • Microsoft Full-Stack Developer: Microsoft
    • Preparing for Google Cloud Certification: Cloud Engineer Professional Certificate en Español: Google Cloud
    • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
    • Reproducible Research: Johns Hopkins University
    • Computing, Ethics, and Society: University of Colorado Boulder
    • Deep Learning with Keras and Tensorflow: IBM
    • Ethical Hacking Essentials (EHE): EC-Council
    • Semiconductor Devices: University of Colorado Boulder
    • Synapses, Neurons and Brains : Hebrew University of Jerusalem

    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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