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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
      M

      Meta

      Working with Data in Android

      Skills you'll gain: Restful API, Android Development, Kotlin, Android Studio, Application Programming Interface (API), Mobile Development, Database Management, Databases, JSON, Web Applications, SQL, Data Access

      4.7
      Rating, 4.7 out of 5 stars
      ·
      57 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Desenvolvimento Ágil com Java Avançado

      Skills you'll gain: Model View Controller, Selenium (Software), Web Applications, Java, JUnit, Data Access, Integration Testing, Software Testing, Application Development, Agile Software Development, Database Development, Development Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      196 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The State University of New York

      How to Get Skilled: Introduction to Individual Skills Management (Project-Centered Course)

      Skills you'll gain: Benchmarking, Professional Development, LinkedIn, Planning, Performance Measurement, Performance Analysis, Job Analysis, Organizational Skills, Personal Development, Microsoft Excel, Self-Awareness

      4.1
      Rating, 4.1 out of 5 stars
      ·
      225 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Columbia University

      Decision Making and Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Node.js & MongoDB: Developing Back-end Database Applications

      Skills you'll gain: Node.JS, MongoDB, NoSQL, Restful API, Back-End Web Development, Server Side, Application Deployment, Authentications, Cloud Applications, Database Application, API Design, Application Performance Management, Scalability, Web Applications, Middleware, Databases, Data Validation, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Enterprise Data Integration, Governance and Architecture

      Skills you'll gain: Data Security, Data Migration, Data Governance, Extract, Transform, Load, Cloud Storage, Data Management, Data Integration, Data Architecture, Enterprise Architecture, Data Storage, Data Modeling, Data Quality, Personally Identifiable Information, Incident Response, Data Loss Prevention, Security Controls, Information Privacy, Data Infrastructure, Computer Security Incident Management, Data Warehousing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced Programming in Swift

      Skills you'll gain: Swift Programming, Apple iOS, Unit Testing, Apple Xcode, Development Testing, Software Testing, Object Oriented Programming (OOP), Data Structures, Software Design Patterns, Software Design, Data Management, Debugging, Functional Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      86 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Leeds

      An Introduction to Logic for Computer Science

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Technologies and platforms for Artificial Intelligence

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Platforms, Deep Learning, Hardware Architecture, Information Technology Architecture, Information Technology, Internet Of Things, Cloud Computing, Embedded Systems, Cloud Computing Architecture, Emerging Technologies, Data Centers, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Web Application Security Testing with OWASP ZAP

      Skills you'll gain: Open Web Application Security Project (OWASP), Vulnerability Scanning, Proxy Servers, Security Testing, Penetration Testing, Vulnerability Assessments, Application Security, Vulnerability Management, Web Scraping, Web Applications

      4.3
      Rating, 4.3 out of 5 stars
      ·
      287 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Neurohacking In R

      Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Radiology, Data Processing, Scientific Visualization, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      311 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Working with Data in Android: Meta
    • Desenvolvimento Ágil com Java Avançado: Instituto Tecnológico de Aeronáutica
    • How to Get Skilled: Introduction to Individual Skills Management (Project-Centered Course): The State University of New York
    • Decision Making and Reinforcement Learning: Columbia University
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Node.js & MongoDB: Developing Back-end Database Applications: IBM
    • Enterprise Data Integration, Governance and Architecture: SkillUp EdTech
    • Advanced Programming in Swift: Meta
    • An Introduction to Logic for Computer Science: University of Leeds
    • Technologies and platforms for Artificial Intelligence: Politecnico di Milano

    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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