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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: New
      New
      C

      Coursera Instructor Network

      Advanced Agile for Product Managers: Scaling Agile Teams

      Skills you'll gain: Scaled Agile Framework, Agile Product Development, Agile Project Management, Sprint Planning, Agile Methodology, Collaborative Software, Cross-Functional Collaboration, Dependency Analysis, Strategic Leadership, Product Management, Product Roadmaps, Scalability, Leadership, Performance Measurement, Team Performance Management, Release Management, Prioritization, Capacity Management, Estimation

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Master AWS DynamoDB

      Skills you'll gain: Amazon DynamoDB, Amazon Web Services, NoSQL, Database Management, Database Design, Development Environment, Command-Line Interface, Application Programming Interface (API), Software Development Tools, Performance Tuning, Data Structures, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Membuat Aplikasi AI Generatif di Google Cloud

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Google Cloud Platform, Cloud Applications, Cloud Computing Architecture, Application Development, Natural Language Processing, Application Deployment, Prototyping

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NLP – Machine Learning Models in Python

      Skills you'll gain: Dimensionality Reduction, Natural Language Processing, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Linear Algebra, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      H

      H2O.ai

      H2O.ai Agents : From Theory to Practice

      Skills you'll gain: Generative AI Agents, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Large Language Modeling, Decision Support Systems, Application Deployment, Prompt Engineering, Applied Machine Learning, Scalability, Performance Testing, Data Integration

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Como modernizar sites com a IA generativa no Google Cloud

      Skills you'll gain: Generative AI, AI Personalization, Web Content, Google Cloud Platform, Prompt Engineering, Image Analysis, User Experience, Web Development

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Azure Data Engineering: Cosmos DB, SQL & Analytics

      Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Transact-SQL, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Cloud-Native Computing, Data Processing, Business Intelligence, Analytics, Cloud Computing Architecture, Data Integration, Data Modeling, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Ethical Hacking with Kali Linux

      Skills you'll gain: Linux, Penetration Testing, Bash (Scripting Language), Network Monitoring, Scripting, Command-Line Interface, Cybersecurity, Vulnerability Assessments, System Configuration, Network Security, Automation, Virtual Machines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Foundations of Generative AI Models

      Skills you'll gain: Generative AI, OpenAI, ChatGPT, Prompt Engineering, Large Language Modeling, Real Time Data, Deep Learning, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, PyTorch (Machine Learning Library), Emerging Technologies, Data Ethics, Natural Language Processing, Innovation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Unleashing the Power of Networks and the Cloud

      Skills you'll gain: Infrastructure As A Service (IaaS), Virtualization, Platform As A Service (PaaS), Containerization, Cloud-Native Computing, Serverless Computing, Cloud Infrastructure, Network Security, Cloud Computing, Amazon Web Services, Cloud Management, Infrastructure as Code (IaC), Cloud Computing Architecture, Virtual Machines, Network Troubleshooting, Cloud Platforms, Hyper-V, Software-Defined Networking, VMware ESX Servers, Network Monitoring

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Network Security, Troubleshooting, & Certification Prep

      Skills you'll gain: Network Troubleshooting, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Hardening, Network Administration, Network Monitoring, Intrusion Detection and Prevention, Threat Modeling, Network Protocols, Cybersecurity, Information Systems Security, Firewall, Network Infrastructure, General Networking, Authentications, Identity and Access Management, Local Area Networks, Networking Hardware, Encryption, Virtual Local Area Network (VLAN)

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Product Owners

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Backlogs, OpenAI, Product Management, Microsoft Copilot, Product Strategy, Product Lifecycle Management, Sprint Planning, Market Intelligence, Product Roadmaps, User Story, Large Language Modeling, Strategic Thinking, Artificial Intelligence, Program Development, Ethical Standards And Conduct, Product Requirements, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

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

    • Advanced Agile for Product Managers: Scaling Agile Teams: Coursera Instructor Network
    • Master AWS DynamoDB: Packt
    • Membuat Aplikasi AI Generatif di Google Cloud: Google Cloud
    • NLP – Machine Learning Models in Python: Packt
    • H2O.ai Agents : From Theory to Practice: H2O.ai
    • Como modernizar sites com a IA generativa no Google Cloud: Google Cloud
    • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera Instructor Network
    • Ethical Hacking with Kali Linux: IBM
    • Foundations of Generative AI Models: Simplilearn
    • Unleashing the Power of Networks and the Cloud: Illinois Tech

    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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