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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

    • C

      ConsenSys Academy

      Blockchain: Foundations and Use Cases

      Skills you'll gain: Blockchain, Cryptography, Interoperability, FinTech, Emerging Technologies, Ledgers (Accounting), Business Modeling, Distributed Computing, Digital Assets, Data Sharing, Data Integrity, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      842 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Algorithms on Strings

      Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Precision Medicine, Life Sciences

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Initiation à la programmation (en C++)

      Skills you'll gain: C++ (Programming Language), Programming Principles, Data Structures, Computer Programming, Object Oriented Programming (OOP), Game Design, Algorithms, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      451 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part I: Logic

      Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Algorithms, Computer Engineering, Programming Principles, Mathematical Software, Graph Theory, Software Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      A

      Amazon

      Amazon Junior Software Developer

      Skills you'll gain: Git (Version Control System), Software Development Methodologies, JUnit, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, SQL, Full-Stack Web Development, Test Driven Development (TDD), Systems Development, Software Development, Restful API, Object Oriented Programming (OOP), Object Oriented Design, Database Management, MySQL, Digital Transformation, Relational Databases, Generative AI

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of London

      Introduction to Computer Programming

      Skills you'll gain: Debugging, Development Environment, Javascript, Program Development, Computer Graphics, Computer Programming, User Interface (UI), Interactive Design, Human Computer Interaction, Data Management, Animations

      4.1
      Rating, 4.1 out of 5 stars
      ·
      903 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      NVIDIA

      AI Infrastructure and Operations Fundamentals

      Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, IT Infrastructure, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      348 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • U

      University of Minnesota

      User Interface Design

      Skills you'll gain: UI/UX Research, User Research, Design Research, User Interface (UI) Design, Usability Testing, Prototyping, User Interface (UI), User Interface and User Experience (UI/UX) Design, Usability, User Experience, User Centered Design, Graphic and Visual Design, Ideation, Web Content Accessibility Guidelines, Design, Human Computer Interaction, User Experience Design, Interaction Design, Qualitative Research, Design Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Feature Engineering, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Data Sharing, Javascript, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      Northwestern University

      Leadership Communication for Maximum Impact: Storytelling

      Skills you'll gain: Leadership, Corporate Communications, Strategic Communication, Storytelling, Business Leadership, Media Relations, Stakeholder Communications, Public Relations, Innovation, Crisis Management, Communication, Branding

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      G

      Google Cloud

      Google Cloud Cybersecurity

      Skills you'll gain: Cloud Security, Identity and Access Management, Intrusion Detection and Prevention, Computer Security Incident Management, Threat Management, Cyber Threat Hunting, Risk Management Framework, Cyber Attacks, Cyber Operations, Vulnerability Management, Continuous Monitoring, Event Monitoring, Disaster Recovery, Incident Management, Generative AI, DevSecOps, Cloud Computing, Data Security, Google Cloud Platform, Cybersecurity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      306 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Blockchain: Foundations and Use Cases: ConsenSys Academy
    • Algorithms on Strings: University of California San Diego
    • Initiation à la programmation (en C++): École Polytechnique Fédérale de Lausanne
    • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign
    • Amazon Junior Software Developer: Amazon
    • Introduction to Computer Programming : University of London
    • AI Infrastructure and Operations Fundamentals: NVIDIA
    • Software Processes and Agile Practices: University of Alberta
    • User Interface Design: University of Minnesota
    • TensorFlow: Data and Deployment: DeepLearning.AI

    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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