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    Results for "computer vision"

    • Advancing Women in Tech

      Real-World Product Management

      Skills you'll gain: Product Roadmaps, Product Management, Customer Retention, Cross-Functional Team Leadership, Professional Networking, Financial Analysis, Product Strategy, Technical Product Management, Product Requirements, Product Development, Financial Statement Analysis, Product Lifecycle Management, New Product Development, Innovation, Team Leadership, User Experience Design, Artificial Intelligence and Machine Learning (AI/ML), Performance Management, Interviewing Skills, Branding

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      894 reviews

      Beginner · Specialization · 3 - 6 Months

    • Board Infinity

      Introduction to Technical Writing

      Skills you'll gain: Technical Writing, Technical Documentation, Technical Communication, Software Documentation, Graphic and Visual Design, Design Elements And Principles, Typography, Augmented and Virtual Reality (AR/VR), Collaborative Software, Proofreading, Peer Review, Multimedia, Version Control

      4.3
      Rating, 4.3 out of 5 stars
      ·
      313 reviews

      Beginner · Course · 1 - 4 Weeks

    • Google

      Configuration Management and the Cloud

      Skills you'll gain: Cloud Services, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Configuration Management, CI/CD, Cloud Computing, Docker (Software), Containerization, Kubernetes, Load Balancing, System Monitoring, Scalability, Cloud Storage, DevOps, Automation, Infrastructure Architecture, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Knowledge Accelerators

      Customer Service Fundamentals

      Skills you'll gain: Service Level Agreement, Problem Solving, Customer Service, Customer Support, Desktop Support, Technical Communication, Help Desk Support, Technical Support, Critical Thinking and Problem Solving, Issue Tracking, Rapport Building, Patience, Empathy, Time Management, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • IBM

      Cybersecurity Compliance Framework, Standards & Regulations

      Skills you'll gain: IT Service Management, Information Technology Infrastructure Library, Cyber Risk, Data Ethics, Cyber Governance, NIST 800-53, Information Technology, Cybersecurity, ISO/IEC 27001, Security Management, Control Objectives for Information and Related Technology (COBIT), Artificial Intelligence, Risk Management Framework, Open Web Application Security Project (OWASP), Payment Card Industry (PCI) Data Security Standards, General Data Protection Regulation (GDPR)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 3 Months

    • University of Colorado Boulder

      Successful Presentation

      Skills you'll gain: Public Speaking, Presentations, Verbal Communication Skills, Storytelling, Drive Engagement, Communication, Persuasive Communication, Non-Verbal Communication, Cognitive flexibility, Composure, Adaptability, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Illinois Urbana-Champaign

      The Digital Marketing Revolution

      Skills you'll gain: Marketing, Marketing Strategies, Consumer Behaviour, Marketing Channel, Global Marketing, Digital Transformation, MarTech, Digital Marketing, Business Strategy, Customer experience improvement, Business Transformation, Innovation

      Build toward a degree

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

      Beginner · Course · 1 - 4 Weeks

    • Northwestern University

      Modern Robotics: Mechanics, Planning, and Control

      Skills you'll gain: Machine Controls, Control Systems, Mathematical Modeling, Automation Engineering, Simulation and Simulation Software, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Torque (Physics), Artificial Intelligence, Applied Mathematics, Engineering Analysis, Automation, Computational Logic, Virtual Environment, Robotic Process Automation, Graph Theory, Matlab, Numerical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • University of Toronto

      Plant Bioinformatic Methods

      Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Statistical Analysis, Databases, Structural Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to computer vision

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    computer vision: face recognition quick starter in python
    computer vision fundamentals with google cloud
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    1…383940…461

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

    • Real-World Product Management: Advancing Women in Tech
    • Introduction to Technical Writing: Board Infinity
    • Configuration Management and the Cloud: Google
    • Getting Started with SAS Programming: SAS
    • Customer Service Fundamentals: Knowledge Accelerators
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Cybersecurity Compliance Framework, Standards & Regulations: IBM
    • Successful Presentation: University of Colorado Boulder
    • The Digital Marketing Revolution: University of Illinois Urbana-Champaign
    • Modern Robotics: Mechanics, Planning, and Control: Northwestern University

    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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