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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
      J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Theory, Database Management Systems, Data Modeling, JSON, Scalability, Database Management, Query Languages, Cloud Applications, Data Manipulation, Text Mining, Databases, Data Integrity, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • L

      LearnQuest

      Cloud Computing Basics (Cloud 101)

      Skills you'll gain: Cloud Computing, Cloud Services, Cloud Technologies, Cloud Infrastructure, Cloud Computing Architecture, Public Cloud, Infrastructure As A Service (IaaS), Serverless Computing, Amazon Web Services, Virtual Machines, Hybrid Cloud Computing, Software As A Service, Private Cloud, Microsoft Azure, Platform As A Service (PaaS), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      848 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Getting Started with Git and GitHub

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Collaborative Software, Web Applications, Open Source Technology, Command-Line Interface, DevOps

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      3D Printing and Additive Manufacturing

      Skills you'll gain: 3D Modeling, Design Software, Design Thinking, Intellectual Property, Hardware Troubleshooting, Visualization (Computer Graphics), Computer Hardware, Hardware Design, Augmented and Virtual Reality (AR/VR), Manufacturing Processes, Emerging Technologies, Digital Design, Technical Design, Manufacturing and Production, Mechanical Design, Computer Graphics, Graphical Tools, Control Systems, Innovation, Industrial Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta iOS UI Development

      Skills you'll gain: iOS Development, Apple iOS, Apple Xcode, User Interface (UI), Mobile Development, Swift Programming, Unit Testing, User Interface (UI) Design, UI Components, Mobile Development Tools, Objective-C (Programming Language), Application Development, Data Structures, Programming Principles, Development Testing, Software Testing, Object Oriented Programming (OOP), Software Design Patterns, Integrated Development Environments, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      HTML and CSS in depth

      Skills you'll gain: Responsive Web Design, HTML and CSS, Bootstrap (Front-End Framework), Debugging, Front-End Web Development, Semantic Web, Browser Compatibility, Web Development, Web Content Accessibility Guidelines, User Interface (UI), Data Validation, Animations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Introduction to Image Processing

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Spatial Data Analysis, Quantitative Research, Graphical Tools, Data Access, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      173 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Build a Full Website using WordPress

      Skills you'll gain: WordPress, Content Management Systems, Web Content, Web Design and Development, Web Design, Blogs, Content Development and Management, Social Media

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.2K reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Developing APIs with Google Cloud's Apigee API Platform

      Skills you'll gain: OAuth, API Design, Restful API, API Gateway, Application Programming Interface (API), Cloud API, Continuous Deployment, CI/CD, Application Deployment, Google Cloud Platform, Application Lifecycle Management, Security Controls, Proxy Servers, Continuous Integration, Application Security, Software Design Documents, Middleware, Software Documentation, Network Security, Application Performance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Software Processes and Agile Practices

      Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.3K reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Introduction to Genomic Technologies: Johns Hopkins University
    • PostgreSQL for Everybody: University of Michigan
    • Cloud Computing Basics (Cloud 101): LearnQuest
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Getting Started with Git and GitHub: IBM
    • 3D Printing and Additive Manufacturing: University of Illinois Urbana-Champaign
    • Meta iOS UI Development: Meta
    • HTML and CSS in depth: Meta
    • Introduction to Image Processing: MathWorks
    • Build a Full Website using WordPress: Coursera Project Network

    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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