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    • Computer Vision

    Computer Vision Courses Online

    Study computer vision for image processing applications. Learn about object detection, image recognition, and deep learning techniques.

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    Explore the Computer Vision Course Catalog

    • Status: Free Trial
      Free Trial
      C

      Codio

      Getting Started with Generative AI APIs

      Skills you'll gain: OpenAI, Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, Applied Machine Learning, Application Programming Interface (API), Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Business of Cybersecurity Capstone

      Skills you'll gain: Security Management, Incident Response, Risk Management, Cyber Security Policies, Cyber Governance, Business Risk Management, Enterprise Risk Management (ERM), Cyber Security Strategy, Information Management, Business Ethics, Performance Measurement, Compliance Management, Governance, Business Planning, Organizational Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Learn to Code with Ruby

      Skills you'll gain: Object Oriented Design, Ruby (Programming Language), Object Oriented Programming (OOP), Software Design, Debugging, Unit Testing, Programming Principles, Computer Programming, Test Tools, Scripting Languages, File Management, Development Environment, Software Testing, Development Testing, Data Structures, Scripting, Program Development, Software Installation, Microsoft Windows, Mac OS

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      CompTIA Network+ (N10-008)

      Skills you'll gain: Network Security, Remote Access Systems, Disaster Recovery, OSI Models, Network Administration, Network Troubleshooting, Computer Networking, Authentications, Network Architecture, Vulnerability Assessments, Virtualization, Network Infrastructure, Data Centers, Wireless Networks, General Networking, Threat Modeling, Networking Hardware, Network Protocols, Virtual Private Networks (VPN), Hardening

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Computing, Ethics, and Society Foundations

      Skills you'll gain: Data Ethics, Security Awareness, Computer Security Awareness Training, Ethical Standards And Conduct, Cybersecurity, Information Technology, Information Privacy, Media and Communications, Machine Learning, Personally Identifiable Information, Artificial Intelligence, General Data Protection Regulation (GDPR), Data Collection

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Optimizing Your Workflow with GitHub Copilot and VS Code

      Skills you'll gain: Microsoft Copilot, Test Case, Version Control, Code Review, Microsoft Visual Studio, Integrated Development Environments, Software Development Tools, Software Documentation, Computer Programming Tools, Program Development, Development Environment, Technical Documentation, Computer Programming, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Analyze Network Traffic with TCPDump: Build a Logging Tool

      Skills you'll gain: Linux Commands, Linux, TCP/IP, Scripting, Shell Script, Network Monitoring, Network Analysis, Network Security, Network Protocols

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • E

      Edureka

      Gen AI for Code Generation for Python

      Skills you'll gain: Prompt Engineering, Generative AI, Scenario Testing, Code Review, Python Programming, Test Case, ChatGPT, Application Development, Automation, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Leadership in Interprofessional Informatics

      Skills you'll gain: Team Leadership, Leadership, Health Informatics, Innovation, Nursing, Interpersonal Communications, Cultural Diversity, Emerging Technologies

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Desarrollo de Videojuegos 3D en Unity: Una Introducción

      Skills you'll gain: Animation and Game Design, Video Game Development, Unity Engine, Agile Methodology, Interaction Design, Software Documentation, Virtual Environment, Visualization (Computer Graphics), Prototyping, Computer Graphics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Programming with C

      Skills you'll gain: C (Programming Language), Data Structures, C++ (Programming Language), Computer Programming, Programming Principles, Data Management, System Programming, Data Storage, Algorithms, Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Getting Started with Generative AI APIs: Codio
    • Machine Learning and NLP Basics: Edureka
    • The Business of Cybersecurity Capstone: Kennesaw State University
    • Learn to Code with Ruby: Packt
    • CompTIA Network+ (N10-008): Packt
    • Computing, Ethics, and Society Foundations: University of Colorado Boulder
    • Optimizing Your Workflow with GitHub Copilot and VS Code: Microsoft
    • Analyze Network Traffic with TCPDump: Build a Logging Tool: Coursera Project Network
    • Gen AI for Code Generation for Python: Edureka
    • Leadership in Interprofessional Informatics : University of Minnesota

    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 Computer Vision

    Coursera’s Computer Vision courses offer learners a deep dive into the technology and techniques used to interpret and process images and videos:

    • Fundamentals of image processing and analysis
    • Techniques for object detection, recognition, and tracking
    • Application of machine learning and deep learning models in computer vision
    • Use of popular computer vision libraries like OpenCV and TensorFlow
    • Skills for developing real-world computer vision applications, such as facial recognition and autonomous driving
    • Best practices for enhancing the performance and accuracy of vision systems‎

    Computer Vision courses are structured to accommodate learners with varying levels of expertise:

    • Beginners interested in computer vision can start with introductory courses that focus on basic concepts and tools.
    • Intermediate learners can expand their knowledge with courses on specific applications like image recognition or augmented reality.
    • Advanced students can explore complex topics involving neural networks and artificial intelligence as they apply to computer vision.‎

    Completing Computer Vision courses on Coursera enables learners to earn several types of credentials:

    • Professional certificates that demonstrate expertise in computer vision techniques
    • Specializations that cover detailed aspects of computer vision, from foundational skills to advanced applications
    • Certificates that are respected in the tech industry and can help propel your career in areas like research, development, and engineering ‎

    Skills gained from studying computer vision can lead to innovative and exciting career paths:

    • Computer Vision Engineer, developing algorithms and systems to interpret visual data
    • Robotics Engineer, integrating vision systems into robots for navigation and tasks
    • Software Developer, implementing computer vision functionalities in various applications
    • Research Scientist, pushing the boundaries of what's possible with AI and machine learning in vision
    • Product Manager, overseeing the development of products that rely on computer vision technology‎

    Looking to enhance your team's computer vision skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our computer vision training options and make a purchase, please visit our Coursera for Teams page.‎

    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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