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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

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Apache Kafka

      Skills you'll gain: Apache Kafka, Real Time Data, System Monitoring, Performance Tuning, Data Pipelines, Apache Spark, Apache Hadoop, Apache, Big Data, Systems Architecture, Continuous Monitoring, Data Processing, Data Integration, Data Architecture, Middleware, Data Security, Distributed Computing, Scala Programming, Software Architecture, Restful API

      4
      Rating, 4 out of 5 stars
      ·
      31 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Machine Learning for Supply Chains

      Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Inventory Management, Trend Analysis, Data Visualization, Data Transformation, Customer Demand Planning, Predictive Modeling, Anomaly Detection

      3.6
      Rating, 3.6 out of 5 stars
      ·
      76 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      The Product Owner Profession:  Unleashing the Power of Scrum

      Skills you'll gain: Agile Product Development, Sprint Planning, Product Management, Product Roadmaps, Agile Methodology, Agile Project Management, User Story, Product Strategy, Sprint Retrospectives, Backlogs, Product Development, Stakeholder Communications, Workforce Development, Stakeholder Engagement, Meeting Facilitation, Prioritization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Deep Learning, Visualization (Computer Graphics), Applied Machine Learning, Predictive Analytics, Artificial Neural Networks, Algorithms, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Visualization in R with ggplot2

      Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      127 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Learn Generative AI with LLMs

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Natural Language Processing, Computer Vision, Deep Learning, Predictive Modeling, Text Mining, Data Ethics, Image Analysis, Classification And Regression Tree (CART), Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, OpenAI, Supervised Learning, Personally Identifiable Information

      3.7
      Rating, 3.7 out of 5 stars
      ·
      41 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python Programming Fundamentals

      Skills you'll gain: Computational Thinking, Debugging, Algorithms, Program Development, Integrated Development Environments, Software Testing, Programming Principles, Development Environment, Data Manipulation, Python Programming, Microsoft Development Tools, Software Development, Data Analysis, Computer Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Build and Operate Machine Learning Solutions with Azure

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Tensorflow, Continuous Monitoring, Scalability

      3.8
      Rating, 3.8 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      NoSQL systems

      Skills you'll gain: NoSQL, Database Systems, MongoDB, Data Store, Databases, Database Design, Relational Databases, Query Languages, Apache Cassandra, Scalability, Graph Theory, Unstructured Data, Maintainability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to GitHub Copilot

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, Generative AI, Computer Programming, Application Development, Development Environment, Microsoft Visual Studio, Computer Programming Tools, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      146 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Fundamentals of Static Testing

      Skills you'll gain: Software Testing, Test Planning, Code Review, Software Technical Review, Software Quality Assurance, Test Case, Quality Assurance, Requirements Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      L

      Ludwig-Maximilians-Universität München (LMU)

      Organising an Empire: The Assyrian Way

      Skills you'll gain: Ancient History, Governance, Culture, Social Studies, World History, Anthropology, Social Sciences, Diplomacy, Political Sciences, Court Systems, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      786 reviews

      Beginner · Course · 1 - 3 Months

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

    • Apache Kafka: LearnKartS
    • Machine Learning for Supply Chains: LearnQuest
    • The Product Owner Profession:  Unleashing the Power of Scrum: SkillUp EdTech
    • Explainable AI (XAI): Duke University
    • Data Visualization in R with ggplot2: Johns Hopkins University
    • Learn Generative AI with LLMs: Edureka
    • Python Programming Fundamentals: Duke University
    • Build and Operate Machine Learning Solutions with Azure: Microsoft
    • NoSQL systems: Universidad Nacional Autónoma de México
    • Introduction to GitHub Copilot: Microsoft

    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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