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Computer Vision Courses

Computer vision courses can help you learn image processing, object detection, facial recognition, and video analysis. You can build skills in feature extraction, image classification, and deep learning techniques. Many courses introduce tools like OpenCV, TensorFlow, and PyTorch, that support implementing algorithms and developing applications that leverage artificial intelligence and AI for visual data interpretation.


Popular Computer Vision Courses and Certifications


  • Status: New
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    U

    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Multimodal Prompts, Linear Algebra

    Build toward a degree

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API

    4.5
    Rating, 4.5 out of 5 stars
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    546 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Simulations, Scenario Testing, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
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    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

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    Google Cloud

    Advanced Machine Learning on Google Cloud

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

    4.5
    Rating, 4.5 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, ChatGPT, Anthropic Claude, Artificial Intelligence, LLM Application, Software Development Tools, Software Testing, Apple iOS, Test Automation, Software Development, Machine Learning Methods, DevSecOps, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Machine Learning Algorithms, Python Programming, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    583 reviews

    Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free
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    Princeton University

    Computer Architecture

    Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Systems Architecture, Operating Systems, Performance Tuning, Scalability

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Advanced · Course · 3 - 6 Months

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    AI CERTs

    AI for Telecommunications

    Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Internet Of Things, Telecommunications, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Responsible AI, Emerging Technologies, Wireless Networks, Generative AI, Network Performance Management, Digital Communications, Generative AI Agents, Network Architecture, Network Protocols, Computer Networking, System Design and Implementation, Communication

    Advanced · Specialization · 1 - 3 Months

  • Status: New
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    AI CERTs

    AI Powered UI/UX Design

    Skills you'll gain: User Experience Design, User Experience, User Interface and User Experience (UI/UX) Design, Design Thinking, Artificial Intelligence, UI/UX Research, Experience Design, Persona (User Experience), User Interface (UI), User Centered Design, Responsible AI, Design Research, Wireframing, Prototyping, Design Reviews, Prompt Patterns, User Story, Storyboarding, Professional Development, Presentations

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Deployment, Application Development, Large Language Modeling, UI Components, Semantic Web, Artificial Intelligence, Software Development

    4.6
    Rating, 4.6 out of 5 stars
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    534 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Optical Engineering

    Skills you'll gain: Equipment Design, Performance Tuning, Image Quality, Engineering Calculations, Electrical and Computer Engineering, Hardware Design, Engineering Analysis, Engineering, Scientific, and Technical Instruments, Computer-Aided Design, Systems Engineering, Image Analysis, System Design and Implementation, Engineering Design Process, Numerical Analysis, Systems Analysis, Simulation and Simulation Software, Laboratory Equipment, Design Software, Advanced Mathematics, Mathematical Modeling

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    374 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Advanced Data Testing for Quality at Scale

    Skills you'll gain: Application Lifecycle Management, Azure DevOps, CI/CD, DevSecOps, Continuous Delivery, GitLab, Continuous Integration, DevOps, Data Validation, Data Quality, Test Automation, Workflow Management, Extract, Transform, Load, Test Case, Enterprise Architecture, Governance, Data Pipelines, Scalability, SQL

    Advanced · Course · 1 - 4 Weeks

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1234…29

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

  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Self-Driving Cars: University of Toronto
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Generative AI for Mobile App Developers: IBM
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Computer Architecture: Princeton University
  • AI for Telecommunications: AI CERTs
  • AI Powered UI/UX Design: AI CERTs
  • IBM RAG and Agentic AI: IBM

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

Browse the computer vision courses below—popular starting points on Coursera.

  • Introduction to Computer Vision and Image Processing: IBM
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Convolutional Neural Networks: DeepLearning.AI‎

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

Computer vision is a branch of AI that trains computers to interpret and analyze visual data from the world, such as images or video. It powers technologies like facial recognition, object detection, and self-driving cars.‎

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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