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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
      G

      Google Cloud

      Generative AI Leader

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Google Cloud Platform, Google Workspace, Data Management, Productivity Software, Cloud Solutions, Unstructured Data, Large Language Modeling, Workflow Management, Data Governance, Strategic Thinking, Cloud Infrastructure, Information Privacy, Innovation, Artificial Intelligence, Organizational Strategy, Data Ethics, Technology Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: CI/CD, Databricks, Microsoft Azure, Data Architecture, Cloud Engineering, Secure Coding, Data Storage Technologies, Integration Testing, Automation, Restful API, Command-Line Interface, Systems Design, Software Design, Data Pipelines, GitHub

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Programming Fundamentals

      Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Docker and Kubernetes for ASP.NET Development

      Skills you'll gain: Cloud-Native Computing, Containerization, Kubernetes, Docker (Software), ASP.NET, .NET Framework, Nginx, CI/CD, Cloud Applications, Development Environment, Application Deployment, YAML, Proxy Servers, Load Balancing, Scalability, Microsoft SQL Servers

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Mastering AWS SAM and Lambda - A Complete Hands-on Journey

      Skills you'll gain: Serverless Computing, Amazon Web Services, AWS CloudFormation, YAML, AWS Identity and Access Management (IAM), Debugging, Development Environment, Cloud Development, Cloud Applications, Amazon S3, Infrastructure as Code (IaC), Application Programming Interface (API), Restful API, Application Deployment, Node.JS

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Braket Getting Started

      Skills you'll gain: Amazon Web Services, Cloud-Native Computing, Computing Platforms, Technical Documentation, Infrastructure Architecture, Systems Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Mastering AWS CDK - Coding Cloud Architectures

      Skills you'll gain: Infrastructure as Code (IaC), Amazon Web Services, Cloud Development, Cloud Applications, Amazon Elastic Compute Cloud, API Gateway, Cloud Infrastructure, Development Environment, Serverless Computing, Software Development, System Configuration, Amazon S3, Amazon DynamoDB, Infrastructure Security, Network Administration, Restful API, TypeScript

      Intermediate · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      Skills you'll gain: Software Engineering, Video Game Development, Software Testing, Software Development, Programming Principles, Software Design, Game Design, Computer Programming, Animation and Game Design, Debugging, Computational Thinking, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

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

      Packt

      Kubernetes Essentials - Deploying and Managing Applications

      Skills you'll gain: Kubernetes, Cloud-Native Computing, YAML, Containerization, Devops Tools, Application Deployment, Command-Line Interface, Software Installation, Infrastructure Architecture, Automation, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Infrastructure Automation with OpenTofu – Hands-On DevOps

      Skills you'll gain: Terraform, Infrastructure as Code (IaC), Devops Tools, Kubernetes, Amazon Web Services, Amazon Elastic Compute Cloud, Scripting, Debugging, Configuration Management, Command-Line Interface, AWS Identity and Access Management (IAM)

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      G

      Google Cloud

      Membuat Aplikasi AI Generatif di Google Cloud

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Google Cloud Platform, Cloud Applications, Cloud Computing Architecture, Application Development, Natural Language Processing, Application Deployment, Prototyping

      Intermediate · Course · 1 - 3 Months

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

    • Generative AI Leader: Google Cloud
    • Automation and Project Implementation in Azure Databricks: Packt
    • C for Everyone: Programming Fundamentals: University of California, Santa Cruz
    • Docker and Kubernetes for ASP.NET Development: Packt
    • Mastering AWS SAM and Lambda - A Complete Hands-on Journey: Packt
    • Amazon Braket Getting Started: Amazon Web Services
    • Mastering AWS CDK - Coding Cloud Architectures: Packt
    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • Kubernetes Essentials - Deploying and Managing Applications: Packt
    • Infrastructure Automation with OpenTofu – Hands-On DevOps: Packt

    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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