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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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    Status: Free Trial
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    E

    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    549 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Model Optimization, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Model Training, Embeddings, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability

    4.9
    Rating, 4.9 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    MathWorks

    Deep Learning for Object Detection

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Matlab, Fine-tuning, Data Preprocessing, Software Visualization, Transfer Learning, Model Optimization, Data Analysis, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Fine-tuning, Feature Engineering, Machine Learning, Model Evaluation, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    88 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Computer Vision with TensorFlow

    Skills you'll gain: Model Training, Model Evaluation, Tensorflow, Computer Vision, Machine Learning Methods, Development Environment, Image Analysis, Machine Learning, Deep Learning, Data Persistence, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
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    Status: Free Trial
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    P

    Packt

    Deep Reinforcement Learning Hands-On

    Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Fine-tuning, Model Training, Agentic systems, Machine Learning Algorithms, Machine Learning, Python Programming, Applied Machine Learning, Natural Language Processing, Performance Tuning, Algorithms, Model Evaluation, Data Analysis

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Jetson Nano Starter to Pro - A Computer Vision Course

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Integrations, System Configuration, Deep Learning, Real Time Data, Model Deployment, Computer Hardware, Software Installation, Application Deployment

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    P

    Packt

    Python Machine Learning By Example

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks

    Intermediate · Course · 3 - 6 Months

1234…29

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

  • Neural Networks and Computer Vision Foundations: Edureka
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Vision & Audio AI Systems: Coursera
  • Applied Object Detection & Segmentation: Coursera
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Deep Learning for Object Detection: MathWorks
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • Introduction to Computer Vision with TensorFlow: Google Cloud
  • Deep Reinforcement Learning Hands-On: Packt
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt

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