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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

    • E

      Edureka

      GitHub Copilot: The AI Pair Programmer for Coding

      Skills you'll gain: Microsoft Copilot, GitHub, Generative AI, Software Development Tools, Artificial Intelligence, Integrated Development Environments, Programming Principles, Computer Programming, Software Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Preparing for AI-900: Microsoft Azure AI Fundamentals exam

      Skills you'll gain: Natural Language Processing, Microsoft Azure, Large Language Modeling, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      145 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Technical Diagnostics and Troubleshooting Techniques

      Skills you'll gain: Desktop Support, Network Troubleshooting, Technical Support, Hardware Troubleshooting, System Support, Debugging, Microsoft Windows, System Monitoring, Mac OS, Unix, Computer Hardware, Network Monitoring, Generative AI, Operating Systems, Technical Communication

      4.9
      Rating, 4.9 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      GenAI for Execs & Business Leaders: Integration Strategy

      Skills you'll gain: Return On Investment, Data Strategy, Business Leadership, Generative AI, Business Strategy, Scalability, Compliance Management, Data-Driven Decision-Making, Business Ethics, Artificial Intelligence, Data Governance, Human Resources, Finance, Information Technology Operations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

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

      Microsoft

      Data Analysis and Visualization with Python

      Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Artificial Intelligence, Jupyter, Python Programming, Machine Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Advancing Women in Tech

      Real-World Cloud Product Management

      Skills you'll gain: Amazon Web Services, Cloud Computing, Amazon S3, Cloud Management, Cloud Storage, Technical Product Management, Cloud Services, Cloud Security, Public Cloud, Amazon Elastic Compute Cloud, AWS Identity and Access Management (IAM), Amazon DynamoDB, Cloud Computing Architecture, Network Architecture, Amazon Redshift, Product Management, Data Security, Databases, Innovation, Thought Leadership

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      88 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Design and Analyze Secure Networked Systems

      Skills you'll gain: Public Key Infrastructure, Cybersecurity, Application Security, Data Security, Cyber Attacks, Information Assurance, Network Security, Risk Management Framework, Security Controls, Key Management, Threat Modeling, Authorization (Computing), Encryption, Data Integrity, Authentications, Vulnerability Assessments

      3.9
      Rating, 3.9 out of 5 stars
      ·
      228 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Oracle Database Platform

      Skills you'll gain: Oracle SQL Developer, Oracle Databases, PL/SQL, Database Administration, Database Software, Databases, SQL, Database Architecture and Administration, Stored Procedure, Database Management, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidade Estadual de Campinas

      A complexidade sensível: Um paralelo entre videogames e arte

      Skills you'll gain: Video Game Development, Game Design, Art History, Culture, Creativity, Liberal Arts, Design Reviews, Design, Cultural Diversity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      228 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Certified Kubernetes Application Developer (CKAD)

      Skills you'll gain: Kubernetes, Docker (Software), Application Deployment, Containerization, YAML, Microservices, Cloud-Native Computing, CI/CD, Scalability, DevOps, Linux Administration, Data Storage, Performance Tuning, Secure Coding, Network Architecture, Systems Architecture, Virtualization, Command-Line Interface

      4
      Rating, 4 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 1 - 3 Months

    • K

      Kennesaw State University

      AI for Everyday Life

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Ethics, Artificial Intelligence, Communication, Predictive Modeling, Ethical Standards And Conduct, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Linux Cloud and DevOps

      Skills you'll gain: Git (Version Control System), Linux, Cloud Computing Architecture, DevOps, Virtualization, Cloud Computing, Linux Administration, Cloud Infrastructure, Containerization, Cloud Platforms, Infrastructure As A Service (IaaS), Software As A Service, Virtual Machines, Platform As A Service (PaaS)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      155 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • GitHub Copilot: The AI Pair Programmer for Coding: Edureka
    • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
    • Technical Diagnostics and Troubleshooting Techniques: Microsoft
    • GenAI for Execs & Business Leaders: Integration Strategy: IBM
    • Data Analysis and Visualization with Python: Microsoft
    • Real-World Cloud Product Management: Advancing Women in Tech
    • Design and Analyze Secure Networked Systems: University of Colorado System
    • Oracle Database Platform: LearnQuest
    • A complexidade sensível: Um paralelo entre videogames e arte: Universidade Estadual de Campinas
    • Certified Kubernetes Application Developer (CKAD): LearnKartS

    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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