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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

    • M

      Microsoft

      Building AI Cloud Apps with Microsoft Azure

      Skills you'll gain: Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Computer Vision, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Data Ethics, Continuous Deployment, Application Deployment, Middleware

      4.4
      Rating, 4.4 out of 5 stars
      ·
      469 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Developing APIs with Google Cloud's Apigee API Platform

      Skills you'll gain: OAuth, API Design, Restful API, API Gateway, Application Programming Interface (API), Cloud API, Continuous Deployment, CI/CD, Application Deployment, Google Cloud Platform, Application Lifecycle Management, Security Controls, Proxy Servers, Continuous Integration, Application Security, Software Design Documents, Middleware, Software Documentation, Network Security, Application Performance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery

      Skills you'll gain: Data Transformation, Big Data, Data Cleansing, Cloud Infrastructure, Google Cloud Platform, Data Analysis, Data Warehousing, SQL, Data Pipelines, Data Visualization Software, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Elastic Google Cloud Infrastructure: Scaling and Automation

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Load Balancing, Infrastructure as Code (IaC), Cloud Computing, Managed Services, Solution Architecture, IT Automation, Virtual Machines, Network Infrastructure, Virtual Private Networks (VPN), Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.2K reviews

      Intermediate · Course · 1 - 3 Months

    • 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

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Cryptocurrency and Blockchain: An Introduction to Digital Currencies

      Skills you'll gain: Blockchain, Cryptography, Digital Assets, Investments, Portfolio Management, FinTech, Financial Analysis, Financial Market, Emerging Technologies, Transaction Processing, Distributed Computing, Risk Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Mastering Software Development in R

      Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Executives and Business Leaders

      Skills you'll gain: Prompt Engineering, Risk Mitigation, Generative AI, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, Generative AI Agents, Business Priorities, Return On Investment, Data Strategy, Business Leadership, Goal Setting, Artificial Intelligence, Business Solutions, Ideation, Business Strategy, Scalability, Business Transformation, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      439 reviews

      Intermediate · Specialization · 1 - 4 Weeks

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    1…202122…284

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

    • Building AI Cloud Apps with Microsoft Azure: Microsoft
    • Developing APIs with Google Cloud's Apigee API Platform: Google Cloud
    • Introduction to Computer Vision and Image Processing: IBM
    • Exploring ​and ​Preparing ​your ​Data with BigQuery: Google Cloud
    • Elastic Google Cloud Infrastructure: Scaling and Automation: Google Cloud
    • Preparing for Your Associate Cloud Engineer Journey: Google Cloud
    • IA Para Todos (Español): DeepLearning.AI
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Cryptocurrency and Blockchain: An Introduction to Digital Currencies: University of Pennsylvania
    • Mastering Software Development in R: Johns Hopkins University

    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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