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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

    • D

      DeepLearning.AI

      Browser-based Models with TensorFlow.js

      Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, JSON, Applied Machine Learning, Javascript, Artificial Neural Networks, Deep Learning, Data Processing, Real Time Data, Web Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Elastic Google Cloud Infrastructure: Scaling and Automation

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Load Balancing, Infrastructure as Code (IaC), Cloud Computing, Managed Services, Solution Architecture, IT Automation, Virtual Machines, Network Infrastructure, Virtual Private Networks (VPN), Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.2K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Introduction to Java

      Skills you'll gain: Eclipse (Software), Java, Java Programming, Integrated Development Environments, Development Environment, Software Installation, Computer Programming, Programming Principles, Program Development, Object Oriented Programming (OOP)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Data Science, Research Methodologies, Machine Learning, Data Collection, Computational Thinking, Economics, Policy, and Social Studies, Graph Theory, Agentic systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 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

    • I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Preparation for CompTIA A+ Certification

      Skills you'll gain: Desktop Support, Hardware Troubleshooting, Operating Systems, Network Troubleshooting, Command-Line Interface, System Support, Computer Hardware, Network Security, Mobile Security, Microsoft Windows, General Networking, Unix Commands, Technical Support, Mac OS, Network Administration, Linux, System Configuration, Infrastructure Security, Computer Networking, Computer Displays

      4.6
      Rating, 4.6 out of 5 stars
      ·
      211 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Cybersecurity for Business

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Open Web Application Security Project (OWASP), Incident Response, Penetration Testing, Computer Security Incident Management, Distributed Denial-Of-Service (DDoS) Attacks, Cybersecurity, Threat Management, Data Security, Authentications, Cyber Attacks, Security Testing, Cloud Security, Security Strategy, Computer Security Awareness Training, Malware Protection, Risk Management, Vulnerability Assessments, Enterprise Security

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

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Fundamentals of Computer Network Security

      Skills you'll gain: Cryptography, Public Key Infrastructure, Cybersecurity, Application Security, Data Security, Firewall, Cyber Attacks, Data Encryption Standard, Penetration Testing, Network Security, Information Assurance, Encryption, Risk Management Framework, Advanced Encryption Standard (AES), Intrusion Detection and Prevention, Vulnerability Scanning, Information Systems Security, Secure Coding, Security Controls, Software Design Patterns

      4
      Rating, 4 out of 5 stars
      ·
      579 reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Browser-based Models with TensorFlow.js: DeepLearning.AI
    • Elastic Google Cloud Infrastructure: Scaling and Automation: Google Cloud
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • Introduction to Java: LearnQuest
    • IA Para Todos (Español): DeepLearning.AI
    • Computational Social Science: University of California, Davis
    • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign
    • Exploratory Data Analysis for Machine Learning: IBM
    • Preparation for CompTIA A+ Certification: IBM
    • Cybersecurity for Business: 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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