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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
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Transfer Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    547 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    583 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Architecture

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Advanced · Course · 3 - 6 Months

What brings you to Coursera today?

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    MCP - Model Content Protocol

    Skills you'll gain: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

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

    Microsoft

    Microsoft Account Manager with Generative AI

    Skills you'll gain: Solution Selling, Budget Management, Account Strategy, Productivity Software, Financial Management, Consultative Selling, Administrative Support, Negotiation, Sales Process, Business Ethics, Customer Relationship Management (CRM) Software, Contract Negotiation, Key Performance Indicators (KPIs), Sales Prospecting, Account Management, Microsoft Copilot, Content Management, Relationship Building, Consultative Approaches, Generative AI

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, Model Context Protocol, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Embeddings, Responsible AI, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    671 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    AI CERTs

    AI for Telecommunications

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

    Advanced · Specialization · 1 - 3 Months

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

    Packt

    Building Medieval Worlds - Unreal Engine 5 Modular Kitbash

    Skills you'll gain: Unreal Engine, 3D Assets, Augmented and Virtual Reality (AR/VR), Virtual Environment, Game Design, Video Game Development, Computer Graphics, 3D Modeling, Animation and Game Design, User Interface (UI), Architectural Design, Visualization (Computer Graphics), Building Design, Performance Tuning

    Advanced · Specialization · 3 - 6 Months

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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
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Computer Architecture: Princeton University
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • MCP - Model Content Protocol: Coursera
  • Microsoft Account Manager with Generative AI: Microsoft
  • 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

Computer vision is a field of artificial intelligence that enables computers to interpret and understand visual information from the world. It involves the development of algorithms and models that allow machines to process images and videos, recognize objects, and make decisions based on visual data. The importance of computer vision lies in its wide-ranging applications across various industries, including healthcare, automotive, security, and entertainment. By automating visual tasks, computer vision enhances efficiency, accuracy, and the ability to analyze large datasets, ultimately driving innovation and improving decision-making.‎

A career in computer vision can lead to various job opportunities, including roles such as computer vision engineer, machine learning engineer, data scientist, and research scientist. These positions are in high demand as organizations increasingly rely on visual data analysis for applications like autonomous vehicles, facial recognition systems, and augmented reality. Additionally, professionals in this field may work in sectors like robotics, healthcare imaging, and surveillance, where the ability to interpret visual information is crucial.‎

To pursue a career in computer vision, you should focus on developing a strong foundation in several key skills. These include programming languages such as Python and C++, proficiency in machine learning and deep learning frameworks, and a solid understanding of image processing techniques. Familiarity with libraries like OpenCV and TensorFlow is also beneficial. Additionally, knowledge of mathematics, particularly linear algebra and calculus, is essential for understanding the algorithms that underpin computer vision technologies.‎

There are numerous online courses available for those interested in computer vision. Some of the best options include the Computer Vision Specialization, which covers fundamental concepts and advanced techniques, and the Deep Learning for Computer Vision Specialization, which focuses on applying deep learning methods to visual data. Additionally, the MathWorks Computer Vision Engineer Professional Certificate offers a comprehensive curriculum designed to equip learners with practical skills in this field.‎

Yes. You can start learning computer vision on Coursera for free in two ways:

  1. Preview the first module of many computer vision courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in computer vision, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn computer vision effectively, start by building a solid foundation in programming and mathematics. Enroll in introductory courses that cover the basics of computer vision, such as the Computer Vision Basics course. As you progress, explore more advanced topics and practical applications through specialized courses. Engage in hands-on projects to apply your knowledge, and consider collaborating with peers or joining online communities to enhance your learning experience.‎

Typical topics covered in computer vision courses include image processing techniques, feature extraction, object detection, image segmentation, and the use of convolutional neural networks (CNNs). Courses may also explore advanced topics such as 3D vision, motion analysis, and the integration of computer vision with other AI technologies. By studying these areas, you will gain a comprehensive understanding of how to analyze and interpret visual data.‎

For training and upskilling employees in computer vision, courses like the Deep Learning for Computer Vision Specialization and the First Principles of Computer Vision Specialization are excellent choices. These programs provide structured learning paths that cover both foundational concepts and advanced techniques, making them suitable for professionals looking to enhance their skills and apply computer vision in their work.‎

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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