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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

    • A

      Amazon Web Services

      Exam Prep: AWS Certified Cloud Practitioner Foundations

      Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Computing Architecture, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Security, Cloud Services, Amazon S3, Cloud Computing, Infrastructure As A Service (IaaS), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      105 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Building No-Code Apps with AppSheet

      Skills you'll gain: Business Process Automation, Application Deployment, Automation, Process Design, Business Process, Workflow Management, Cloud Applications, Google Workspace, Application Development, Application Performance Management, Data Integration, Authorization (Computing), Authentications, Application Lifecycle Management, User Interface (UI), Data Management, Restful API, Application Security, Scalability, Spreadsheet Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      174 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Database Architecture, Scale, and NoSQL with Elasticsearch

      Skills you'll gain: NoSQL, PostgreSQL, Database Architecture and Administration, Database Management Systems, Scalability, Databases, Database Design, Relational Databases, Cloud Applications, JSON

      4.3
      Rating, 4.3 out of 5 stars
      ·
      136 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Software Architecture for Big Data

      Skills you'll gain: Service Level, Software Engineering, Data Architecture, Web Applications, Software Architecture, Performance Testing, Scalability, Systems Architecture, Functional Requirement, Distributed Computing, Databases, Acceptance Testing, Application Deployment, Application Development, Predictive Modeling, Software Testing, System Design and Implementation, Microservices, Load Balancing, Transaction Processing

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      96 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Leveraging Virtual Assistants for Personal Productivity

      Skills you'll gain: Productivity, Personal Development, Time Management, Automation, ChatGPT, Self Service Technologies, Artificial Intelligence, Prompt Engineering, Business Process Automation, Natural Language Processing, Generative AI

      4.4
      Rating, 4.4 out of 5 stars
      ·
      122 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Infosec

      Cyber Incident Response

      Skills you'll gain: Incident Response, Computer Security Incident Management, Endpoint Detection and Response, Cyber Operations, Cybersecurity, Cyber Threat Hunting, Intrusion Detection and Prevention, Security Management, Disaster Recovery

      4.7
      Rating, 4.7 out of 5 stars
      ·
      164 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      JSON and Natural Language Processing in PostgreSQL

      Skills you'll gain: PostgreSQL, JSON, Text Mining, SQL, Databases, Natural Language Processing, Database Management, Data Processing, Application Programming Interface (API), Data Storage, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      137 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Classification And Regression Tree (CART), Python Programming, Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Software Design Methods and Tools

      Skills you'll gain: Unified Modeling Language, Unit Testing, Software Design, Technical Design, Software Engineering, Software Development Tools, JUnit, Systems Design, Software Testing, Test Automation, Software Development Methodologies, Dataflow, Ethical Standards And Conduct, Conceptual Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Device-based Models with TensorFlow Lite

      Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      653 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Introduction to Automated Analysis

      Skills you'll gain: Test Automation, Regression Testing, Software Testing, Unit Testing, Test Tools, System Testing, Code Coverage, Security Testing, Verification And Validation, Test Case, Test Data, Debugging, Automation, Functional Requirement, Application Security

      4.2
      Rating, 4.2 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Exam Prep: AWS Certified Cloud Practitioner Foundations: Amazon Web Services
    • Building No-Code Apps with AppSheet: Google Cloud
    • Database Architecture, Scale, and NoSQL with Elasticsearch: University of Michigan
    • Software Architecture for Big Data: University of Colorado Boulder
    • Leveraging Virtual Assistants for Personal Productivity: Coursera Instructor Network
    • Cyber Incident Response: Infosec
    • JSON and Natural Language Processing in PostgreSQL: University of Michigan
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Software Design Methods and Tools: University of Colorado System

    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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