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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

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Architect

      Skills you'll gain: Cloud Infrastructure, Kubernetes, Google Cloud Platform, Identity and Access Management, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Virtual Machines, Process Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      IBM IT Project Manager

      Skills you'll gain: Stakeholder Engagement, Software Development Life Cycle, Software Architecture, Agile Software Development, Project Management Life Cycle, Resource Management, Risk Management, Peer Review, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Team Motivation, Software Design, Kanban Principles, Project Schedules, Information Technology, Sprint Retrospectives, Interviewing Skills, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Information Technology (IT) and Cloud Fundamentals

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Cloud Computing Architecture, Cloud Services, Peripheral Devices, Cybersecurity, Cloud Security, Cloud Applications, Cloud Platforms, Network Protocols, Cyber Attacks, Technical Support, Database Management, Security Awareness, Cloud Storage, Computer Hardware, General Networking, Information Technology, Cloud Computing, Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), DevOps, Git (Version Control System), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM IT Support

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Cloud Computing Architecture, Technical Support, Technical Support and Services, Cloud Services, Peripheral Devices, Cybersecurity, Hardware Troubleshooting, IT Service Management, Cloud Security, Cloud Applications, Desktop Support, Network Protocols, Cyber Attacks, Professional Networking, Cloud Storage, Information Technology, Cloud Computing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Full-Stack JavaScript Developer

      Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Software Architecture, Server Side, MongoDB, Application Deployment, CI/CD, Cloud-Native Computing, React Redux, NoSQL, Kubernetes, Restful API, OpenShift, Git (Version Control System), Cloud Applications, Containerization, HTML and CSS, Ajax, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Analysis, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      AWS Cloud Technology Consultant

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Amazon CloudWatch, AWS CloudFormation, Software Development Life Cycle, CI/CD, Amazon Web Services, Professional Networking, IT Automation, Cloud Computing, Amazon S3, Extract, Transform, Load, DevOps, Data-Driven Decision-Making, Software Architecture, Cloud Computing Architecture, Amazon DynamoDB, Cloud Infrastructure, Web Applications, Leadership Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Problem Solving Using Computational Thinking

      Skills you'll gain: Computational Thinking, Programming Principles, Computer Science, Disaster Recovery, Algorithms, Design Thinking, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Applied Machine Learning, Scalability, Natural Language Processing, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies

      Skills you'll gain: Cloud Computing Architecture, Wireless Networks, Cloud Computing, Cloud Services, Internet Of Things, Emerging Technologies, Network Architecture, Telecommunications, Amazon Web Services, General Networking, Infrastructure As A Service (IaaS), Software As A Service, Network Protocols, Amazon Elastic Compute Cloud, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    Parallel Computing learners also search

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    1…789…282

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

    • Preparing for Google Cloud Certification: Cloud Architect: Google Cloud
    • Neural Networks and Deep Learning: DeepLearning.AI
    • IBM IT Project Manager: IBM
    • Information Technology (IT) and Cloud Fundamentals: IBM
    • IBM DevOps and Software Engineering: IBM
    • IBM IT Support: IBM
    • IBM Full-Stack JavaScript Developer: IBM
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • AWS Cloud Technology Consultant: Amazon Web Services
    • Problem Solving Using Computational Thinking: University of Michigan

    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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