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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

    • M

      Microsoft

      Ethical and Regulatory Implications of Generative AI

      Skills you'll gain: Regulatory Compliance, Compliance Management, Data Ethics, Generative AI, Regulatory Requirements, Governance, Regulatory Affairs, Legal Risk, Artificial Intelligence, Business Ethics, Ethical Standards And Conduct, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Operationalizing LLMs on Azure

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Microsoft Azure, OpenAI, Risk Management Framework, MLOps (Machine Learning Operations), Software Architecture, Generative AI, Application Deployment, Artificial Intelligence, GitHub, Application Programming Interface (API), Scalability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data-Oriented Python Programming and Debugging

      Skills you'll gain: Debugging, NumPy, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Pandas (Python Package), Data Structures, Probability & Statistics, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Program Development, Large Language Modeling, Data Manipulation, Programming Principles, Computer Programming, Python Programming

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Cloud Computing Project

      Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Platforms, Cloud Computing Architecture, Cloud Services, Cloud Infrastructure, Distributed Computing, General Networking

      4
      Rating, 4 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Essential Cloud Infrastructure: Core Services en Español

      Skills you'll gain: Identity and Access Management, Google Cloud Platform, Cloud Infrastructure, Cloud Computing, Cloud Computing Architecture, Data Storage, Cloud Storage, Cloud Security, Role-Based Access Control (RBAC), User Accounts, System Monitoring, Encryption, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      254 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      89 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Learn Advanced React

      Skills you'll gain: React.js, Debugging, Web Content Accessibility Guidelines, Routing Protocols, JavaScript Frameworks, Front-End Web Development, Performance Tuning, Software Design Patterns, UI Components, Authentications, Application Performance Management, Real Time Data, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Build a Small Simulated Network With Cisco Packet Tracker

      Skills you'll gain: Network Troubleshooting, Network Routers, Network Architecture, Networking Hardware, Network Administration, Local Area Networks, Computer Networking, General Networking, Network Switches, Network Planning And Design, Command-Line Interface

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Leadership in Interprofessional Informatics

      Skills you'll gain: Team Leadership, Leadership, Health Informatics, Innovation, Nursing, Interpersonal Communications, Cultural Diversity, Emerging Technologies

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Java Database Connectivity

      Skills you'll gain: Stored Procedure, Hibernate (Java), PL/SQL, Relational Databases, Object-Relational Mapping, SQL, Data Access, Java Platform Enterprise Edition (J2EE), Database Design, Databases, Java, Data Manipulation, Data Mapping, Object Oriented Programming (OOP), Query Languages, Database Management, Database Systems, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Specialization · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Search Engines for Web and Enterprise Data

      Skills you'll gain: Web Analytics and SEO, AI Personalization, Semantic Web, Algorithms, Query Languages, Network Analysis, Text Mining, Information Architecture, Performance Testing, Natural Language Processing, User Research, Data Structures, Business Modeling, Graph Theory, Applied Machine Learning

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 3 - 6 Months

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

    • Ethical and Regulatory Implications of Generative AI: Microsoft
    • Operationalizing LLMs on Azure: Duke University
    • Data-Oriented Python Programming and Debugging: University of Michigan
    • Cloud Computing Project: University of Illinois Urbana-Champaign
    • Essential Cloud Infrastructure: Core Services en Español: Google Cloud
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Learn Advanced React: Scrimba
    • Build a Small Simulated Network With Cisco Packet Tracker: Coursera Project Network
    • Machine Learning and NLP Basics: Edureka
    • Leadership in Interprofessional Informatics : University of Minnesota

    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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