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    Computer Courses Online

    Explore computer fundamentals for understanding hardware and software. Learn about computer architecture, operating systems, and software applications.

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    Explore the Computer Course Catalog

    • I

      IBM

      Introduction to Hardware and Operating Systems

      Skills you'll gain: Peripheral Devices, Technical Support, Computer Hardware, Disaster Recovery, System Configuration, Hardware Troubleshooting, Microsoft Windows, Operating Systems, Linux, Networking Hardware, Computer Architecture, Mac OS, User Accounts

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Interaction Design

      Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Human Centered Design, A/B Testing, Usability Testing, User Centered Design, Mockups, Human Computer Interaction, Human Factors, Collaborative Software, Telecommuting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • G

      Google

      Connect and Protect: Networks and Network Security

      Skills you'll gain: Network Security, Hardening, Network Protocols, Cloud Security, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Cyber Attacks, Network Infrastructure, Firewall, Cloud Computing, Virtual Private Networks (VPN)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Applied Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Visualization (Computer Graphics), Data Processing, Network Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft UX Design

      Skills you'll gain: Storyboarding, User Research, Information Architecture, User Experience Design, Design Thinking, Prototyping, Usability Testing, User Experience, Persona (User Experience), Wireframing, Design Research, User Interface and User Experience (UI/UX) Design, Interaction Design, Web Content Accessibility Guidelines, Human Centered Design, Figma (Design Software), Usability, User Interface (UI) Design, User Centered Design, Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      372 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Development Environment, Software Engineering, Software Development Tools, Software Development Methodologies, Software Architecture, Software Design, Programming Principles, Unified Modeling Language, Agile Methodology, Software Development, Scrum (Software Development), Application Development, Back-End Web Development, Front-End Web Development, Computer Programming, Python Programming, Git (Version Control System)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • M

      MathWorks

      Object Tracking and Motion Detection with Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Matlab, Motion Graphics, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Programming Tools, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Microsoft

      Computer Vision in Microsoft Azure

      Skills you'll gain: Image Analysis, Computer Vision, Artificial Intelligence, Microsoft Azure, Applied Machine Learning, Data Processing, Natural Language Processing, Deep Learning, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 4 Weeks

    Computer learners also search

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

    • Introduction to Hardware and Operating Systems: IBM
    • Interaction Design: University of California San Diego
    • Introduction to Computer Vision: University of Colorado Boulder
    • IBM AI Engineering: IBM
    • Connect and Protect: Networks and Network Security: Google
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • Microsoft UX Design: Microsoft
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Introduction to Software Engineering: IBM
    • Object Tracking and Motion Detection with Computer Vision: MathWorks

    Frequently Asked Questions about Computer

    Whether for academic purposes, career advancement, or personal interest, understanding why you want to learn computing can focus your studies. Regular practice with coding, operating systems, and software applications is essential. Join online forums like Stack Overflow or local coding clubs for support and knowledge sharing. Work on real projects such as developing small apps or managing databases. Introduction to Computer Science and Programming by University of London is an excellent course to start with.‎

    Computer courses on Coursera cover a wide array of practical skills applicable to various technology-related tasks and professions:

    • Basic computer literacy, including understanding hardware and software components.
    • Operating systems usage, focusing on Windows, macOS, and Linux.
    • Office productivity tools such as Microsoft Office and Google Suite.
    • Internet skills, including using web browsers, email, and cloud services.
    • Data entry and basic data management.
    • Digital communication and online collaboration tools.
    • Basic troubleshooting and maintenance of personal computers.‎

    Computer courses on Coursera are designed to accommodate learners at all skill levels:

    • Absolute beginners who need foundational skills such as using a computer or navigating the internet.
    • Intermediate users can learn more about software applications, data management, and online security.
    • More experienced users can refine their skills in specific software tools or learn advanced maintenance and troubleshooting techniques.

    These courses provide step-by-step instructions to ensure everyone can follow along and build confidence in their computer skills. ‎

    Participants in Computer courses on Coursera can earn several credentials that enhance their professional profiles:

    • Certificates of completion for individual courses, which can be shared on social platforms like LinkedIn.
    • Professional certificates that help verify your proficiency in specific tools or software.
    • Continued learning paths that may include bundled courses leading to comprehensive skill development in computer technology.

    These credentials are useful for demonstrating your technical skills to employers or for personal development.‎

    Gaining proficiency in computer skills through Coursera can open up a variety of career opportunities in virtually every industry:

    • Administrative roles, which often require proficiency in word processing, spreadsheets, and data management.
    • Support specialist positions, providing helpdesk or technical support.
    • Entry-level IT roles, such as computer technician or network administrator assistants.
    • Roles in digital marketing that utilize various online tools and platforms.
    • Freelance opportunities for data entry, virtual assistance, or computer maintenance services.

    These skills are fundamental and widely applicable across job markets, enhancing employability and career flexibility. ‎

    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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