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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

      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

    • D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 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

    • I

      IBM

      Computer Networks and Network Security

      Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 3 Months

    • 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

    • 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

    • D

      DeepLearning.AI

      Convolutional Neural Networks

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • 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

    • L

      LearnQuest

      Foundations of Computer Science

      Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 3 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

    • 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

    Computer learners also search

    Computer Programming
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    1…567…444

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

    • IBM AI Engineering: IBM
    • Deep Learning: DeepLearning.AI
    • Computer Vision in Microsoft Azure: Microsoft
    • Computer Networks and Network Security: IBM
    • Introduction to Hardware and Operating Systems: IBM
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • Convolutional Neural Networks: DeepLearning.AI
    • Introduction to Computer Vision: University of Colorado Boulder
    • Object Tracking and Motion Detection with Computer Vision: MathWorks
    • Foundations of Computer Science: LearnQuest

    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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