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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
      D

      Dartmouth College

      C Programming: Getting Started - 1

      Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Embedded Software, Debugging, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      249 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Bioconductor for Genomic Data Science

      Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management

      3.8
      Rating, 3.8 out of 5 stars
      ·
      382 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Adobe

      Image Editing

      Skills you'll gain: Photo Editing, Adobe Photoshop, Photography, Generative AI, File Management, Graphic and Visual Design, Creative Design, Editing, Creativity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      66 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      ISC2

      Security Operations

      Skills you'll gain: Configuration Management, Cybersecurity, Computer Security Awareness Training, Data Security, Security Controls, Security Management, Event Monitoring, Encryption, Network Security, Continuous Monitoring, Cyber Security Policies, Security Strategy, System Monitoring, General Networking, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Campus BBVA

      Data & Cybersecurity

      Skills you'll gain: Security Information and Event Management (SIEM), Computer Security Incident Management, Data Security, Crisis Management, Security Management, Cybersecurity, Incident Management, Cyber Attacks, Cyber Risk, Safety and Security, Threat Modeling, Security Awareness, Data Processing, Anomaly Detection, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      272 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Building No-Code Apps with AppSheet

      Skills you'll gain: Business Process Automation, Application Deployment, Automation, Process Design, Business Process, Workflow Management, Cloud Applications, Google Workspace, Application Development, Application Performance Management, Data Integration, Authorization (Computing), Authentications, Application Lifecycle Management, User Interface (UI), Data Management, Restful API, Application Security, Scalability, Spreadsheet Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      175 reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      EDUCBA

      Introduction to CATIA V5

      Skills you'll gain: Technical Drawing, Engineering Drawings, Computer Aided Three-Dimensional Interactive Application (CATIA), Assembly Drawing, 3D Modeling, Mechanical Design, Computer-Aided Design, Visualization (Computer Graphics), File Management, Interoperability, User Interface (UI)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      127 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Generative AI

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Large Language Modeling, Artificial Intelligence, Data Ethics, Natural Language Processing, GitHub, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      123 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Classification And Regression Tree (CART), Python Programming, Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      77 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Arduino y algunas aplicaciones

      Skills you'll gain: Electronics, Electronic Components, Programming Principles, Prototyping, Automation, Electronic Hardware, Embedded Systems, Computer Programming, Development Environment, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      625 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidade Estadual de Campinas

      Processamento Digital de Sinais - Amostragem

      Skills you'll gain: Digital Communications, Simulations, Electrical and Computer Engineering, Telecommunications, Mathematical Modeling, Electronics Engineering, Systems Of Measurement, Technical Analysis, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Mixed · Course · 1 - 3 Months

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

    • C Programming: Getting Started - 1: Dartmouth College
    • Bioconductor for Genomic Data Science: Johns Hopkins University
    • Image Editing: Adobe
    • Security Operations: ISC2
    • Data & Cybersecurity: Campus BBVA
    • Building No-Code Apps with AppSheet: Google Cloud
    • Introduction to CATIA V5: EDUCBA
    • Fundamentals of Machine Learning in Finance: New York University
    • Introduction to Generative AI: Duke University
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder

    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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