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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
      F

      Fundação Instituto de Administração

      InteligĂȘncia Artificial Aplicada ao CRM

      Skills you'll gain: Customer Relationship Management, Customer Data Management, Big Data, Data Mining, Data-Driven Decision-Making, Predictive Analytics, Data Visualization, Sales Management, Customer Engagement, Data Visualization Software, Data Modeling, R Programming, Customer Insights, Advanced Analytics, Customer experience strategy (CX), Data Science, Data Analysis, Data Manipulation, Artificial Intelligence, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      94 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Storage

      Skills you'll gain: Amazon S3, Cloud Storage, Data Storage, Data Storage Technologies, Data Store, Amazon Elastic Compute Cloud, AWS Identity and Access Management (IAM), Cloud Security, Security Controls, File Management, Authorization (Computing), File Systems, Key Management, Encryption

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Meaningful Predictive Modeling

      Skills you'll gain: Predictive Modeling, Data Validation, Verification And Validation, Applied Machine Learning, Regression Analysis, Supervised Learning, Classification And Regression Tree (CART), Python Programming, Statistical Methods, Scikit Learn (Machine Learning Library), Text Mining, Test Data, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Productivity and Systems Development

      Skills you'll gain: Systems Development, Systems Development Life Cycle, Agile Methodology, Productivity Software, Data Security, Risk Management, Software Development Methodologies, Information Systems, Workflow Management, Business Systems Analysis, Team Management, E-Commerce, Spreadsheet Software, Microsoft PowerPoint, Microsoft Word

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Vector Search with NoSQL Databases using MongoDB & Cassandra

      Skills you'll gain: MongoDB, NoSQL, Applied Machine Learning, Databases, Apache Cassandra, Text Mining, Image Analysis, Generative AI, AI Personalization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      FPGA Architecture Based System for Industrial Application

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Serial Peripheral Interface, Electronic Hardware, Internet Of Things, Embedded Systems, Embedded Software, Network Protocols, Digital Communications, Computer Architecture, Hardware Architecture, Software Development Tools, System Design and Implementation, Software Installation, Verification And Validation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universiteit Leiden

      Population Health: Responsible Data Analysis

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Politecnico di Milano

      FPGA computing systems: A Bird’s Eye View

      Skills you'll gain: Application Specific Integrated Circuits, Computer Systems, System Configuration, System Design and Implementation, Computer Architecture, Hardware Architecture, Computer Hardware, Embedded Systems, Automation, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Convolutions with TensorFlow

      Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Scientific Visualization, Deep Learning

      Intermediate · Project · Less Than 2 Hours

    • É

      École Polytechnique FĂ©dĂ©rale de Lausanne

      Programming Reactive Systems

      Skills you'll gain: Scala Programming, Scalability, Distributed Computing, Event-Driven Programming, Software Architecture, Software Design Patterns, Middleware, Data Structures

      3.9
      Rating, 3.9 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Advanced AI Techniques for the Supply Chain

      Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Predictive Modeling, Anomaly Detection, Statistical Modeling, Supply Chain Management, Machine Learning, Computer Vision, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning, Performance Tuning

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Boost Your Productivity with GitHub Copilot

      Skills you'll gain: Microsoft Copilot, Prompt Engineering, Microsoft Visual Studio, Integrated Development Environments, Development Environment, Program Development, Generative AI, Software Installation, Application Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • InteligĂȘncia Artificial Aplicada ao CRM: Fundação Instituto de Administração
    • AWS: Storage: Whizlabs
    • Meaningful Predictive Modeling: University of California San Diego
    • Productivity and Systems Development: University of California, Irvine
    • Vector Search with NoSQL Databases using MongoDB & Cassandra: SkillUp EdTech
    • FPGA Architecture Based System for Industrial Application : L&T EduTech
    • Population Health: Responsible Data Analysis: Universiteit Leiden
    • FPGA computing systems: A Bird’s Eye View: Politecnico di Milano
    • Introduction to Convolutions with TensorFlow: Google Cloud
    • Programming Reactive Systems: École Polytechnique FĂ©dĂ©rale de Lausanne

    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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