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    • Hardware

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    234 results for "hardware"

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      Google

      Technical Support Fundamentals

      Skills you'll gain: Theoretical Computer Science, Troubleshooting, Human Computer Interaction, Technical Support, Writing, Internet, Systems Design, Operating Systems, Communication, Software, Network Architecture, Virtual Reality, Computer Networking, Microarchitecture, Mathematics, Computer Graphics, Computer Architecture

      4.8

      (117.1k reviews)

      Beginner · Course · 1-3 Months

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      Google

      Operating Systems and You: Becoming a Power User

      Skills you'll gain: File System, Operating Systems, Powershell, Process, Command-Line Interface, Interfaces

      4.7

      (22.2k reviews)

      Beginner · Course · 1-3 Months

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      Northwestern University

      Modern Robotics: Mechanics, Planning, and Control

      Skills you'll gain: Algebra, Algorithms, Business Analysis, Calculus, Computer Graphic Techniques, Computer Program, Computer Programming, Critical Thinking, Data Analysis, Data Analysis Software, Differential Equations, Entrepreneurship, General Statistics, Human Computer Interaction, Leadership and Management, Linear Algebra, Mathematics, Matlab, Matrices, Operating Systems, Planning, Probability & Statistics, Project Management, Python Programming, Research and Design, Robotics, Strategy and Operations, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, Virtual Reality

      4.7

      (904 reviews)

      Intermediate · Specialization · 3-6 Months

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      Google

      Aspectos básicos de la asistencia técnica

      Skills you'll gain: Theoretical Computer Science, Operating Systems, Human Computer Interaction, Internet, Security Engineering, Leadership and Management, Communication, Technical Support, Software, Systems Design, Problem Solving, Computer Architecture, Mathematics, Network Model, Computer Networking, Network Security, Research and Design, Algorithms, Virtual Machine, Finance

      4.9

      (6.9k reviews)

      Beginner · Course · 1-3 Months

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      Lund University

      AI & Law

      Skills you'll gain: Computational Thinking, Law, Machine Learning

      4.8

      (195 reviews)

      Mixed · Course · 1-4 Weeks

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      DeepLearning.AI

      Analyze Datasets and Train ML Models using AutoML

      Skills you'll gain: Computer Programming, Python Programming, Natural Language Processing, Statistical Programming, Machine Learning

      4.5

      (271 reviews)

      Advanced · Course · 1-4 Weeks

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      Johns Hopkins University

      GPU Programming

      Skills you'll gain: C Programming Language Family, Computer Programming, Python Programming, Statistical Programming

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Deploying Machine Learning Models in Production

      Skills you'll gain: Cloud Computing, Applied Machine Learning, Python Programming, Deep Learning, Computer Programming, Tensorflow, Statistical Programming, Machine Learning, DevOps

      4.6

      (177 reviews)

      Advanced · Course · 1-4 Weeks

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      Berklee College of Music

      The Technology of Music Production

      Skills you'll gain: Electronics, Human Computer Interaction, Music, User Experience

      4.8

      (929 reviews)

      Beginner · Course · 1-3 Months

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      University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Entrepreneurship, Python Programming, Feature Engineering, Linear Algebra, Mathematical Theory & Analysis, Modeling, Communication, Computer Programming, Statistical Programming, Mathematics, Machine Learning, Decision Making

      4.7

      (2.6k reviews)

      Advanced · Course · 1-3 Months

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      University of Illinois at Urbana-Champaign

      Hands-on Internet of Things

      Skills you'll gain: Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Program, Computer Programming, Electronics, Gratitude, Human Computer Interaction, Interactive Design, Internet Of Things, Microarchitecture, Network Architecture, Network Model, Network Security, Python Programming, Security Engineering, Software Engineering, Statistical Programming, Theoretical Computer Science

      4.6

      (89 reviews)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Build, Train, and Deploy ML Pipelines using BERT

      Skills you'll gain: Deep Learning, Machine Learning

      4.6

      (102 reviews)

      Advanced · Course · 1-4 Weeks

    Searches related to hardware

    hardware security
    hardware description languages for fpga design
    computer hardware and software
    embedded hardware and operating systems
    introduction to hardware and operating systems
    3d printing hardware
    embedded software and hardware architecture
    1…131415…20

    In summary, here are 10 of our most popular hardware courses

    • Technical Support Fundamentals: Google
    • Operating Systems and You: Becoming a Power User: Google
    • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
    • Aspectos básicos de la asistencia técnica: Google
    • AI & Law: Lund University
    • Analyze Datasets and Train ML Models using AutoML: DeepLearning.AI
    • GPU Programming: Johns Hopkins University
    • Deploying Machine Learning Models in Production: DeepLearning.AI
    • The Technology of Music Production: Berklee College of Music
    • Introduction to Self-Driving Cars: University of Toronto

    Frequently Asked Questions about Hardware

    • When it comes to Computing, hardware refers to the physical parts of a device that users interact with such as a keyboard, hard drive, or monitor. This is in contrast to software, which are the operating systems, applications, and other virtual computing programs that help users carry out tasks.

      Hardware can be created and manufactured by big tech names, such as Microsoft or Apple, or by hobbyists and smaller companies using Arduino, embedded-systems software, and other tools. Learning about hardware is important to making computer-based technologies functional for our everyday lives, as well as critical for maintaining and repairing them.‎

    • Given the many applications of hardware studies—from security, to product design, to the IoT—jobs in hardware are varied depending on whatever specialty learners want to explore.

      Opportunities in Computer Hardware Engineering in particular can expect their field to grow a steady five percent through 2026—as fast as average. However, Engineers going the IoT route can expect to enter a market estimated to reach a value of USD 1256.1 billion by 2025. Related roles that can enjoy this lucrative market include Embedded Systems Engineer, Raspberry Pi Developer, Arduino Developer, and others.‎

    • Hardware courses offered through Coursera equip learners with knowledge in hardware description languages such as VHDL and Verilog; design methods; embedded architectures; software that can manipulate hardware; 3D printing hardware; IoT applications; hardware security; and more.

      Lessons on hardware are taught by instructors from major tech names and universities, including University of Colorado, University of Illinois, EIT Digital, University of Maryland, and other organizations. Learners can enjoy exploring hardware with instructors specializing in Electrical and Computer Engineering, Information Technology, Mathematics, and other disciplines. Course content on hardware is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.‎

    • The skills and experience you might need to already have before starting to learn hardware are understanding the basics of how software and hardware intersect in devices, computers, operating systems, embedded systems, and assorted data structures. You might want to have some engineering aspects in your background and skills or work experience in hardware components and operating systems. You might be familiar with how embedded devices are impacting manufacturing in the Internet of Things, and you might want to also know about wireless sensor networks.‎

    • The kind of people best suited for roles in hardware are mainly people who are interested in computers, are technologically oriented, or have an engineering or computer science background, gained either in online courses, internships, or on-the-job training. Understanding hardware is for those who want to know about physical components, like computers, monitors, peripherals, 3D printing equipment, and embedded systems. The people best suited for roles in hardware may also likely have knowledge of programming languages like Java, Python, C, C+, and Verilog, key languages for computer engineers.‎

    • Common career paths for someone in hardware are generally working for a technology company, manufacturing firms, or even a large institution like a college university or online distribution service. You may start either in software or hardware environments and then extend your background of engineering skills or computer science skills to move into areas of installation and maintenance of computers, servers, circuit boards, routers, printers, and similar areas.‎

    • Some of the topics related to hardware that you can study include machine learning, cloud networks, systems architecture, network security, computer maintenance, and data storage. These topics may bring a fuller understanding to you when trying to tackle all the information available about hardware for computers and devices. When learning about hardware, you could spend equal amounts of time studying these and other topics related to the computer and system machinery industries.‎

    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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