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  • Computer Vision

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


  • P

    Packt

    Computer Vision: Face Recognition Quick Starter in Python

    Skills you'll gain: Computer Vision, Python Programming, Image Analysis, Real Time Data, Classification Algorithms, Development Environment, Deep Learning, Software Installation, Algorithms

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Eyes on AI - Computer Vision Engineering

    Skills you'll gain: Model Evaluation, Transfer Learning, PyTorch (Machine Learning Library), Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Image Analysis, Computer Vision, AI Workflows, Convolutional Neural Networks, Tensorflow, Dataflow, Performance Tuning, Performance Metric, Data Analysis, Deep Learning, Exploratory Data Analysis, Engineering Software, Process Optimization

    Intermediate · Professional Certificate · 3 - 6 Months

  • E

    EDUCBA

    Master OpenCV Fundamentals for Real-Time Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Real Time Data, Python Programming, Development Environment, NumPy, Debugging, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Advancing Your Career in Computer Vision Engineering

    Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation, Technical Communication, Computer Vision, Image Analysis, Convolutional Neural Networks, Engineering Software, Technical Writing, Transfer Learning, Professional Development, Machine Learning Methods, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Storytelling

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Applied Object Detection & Segmentation

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

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Optimizing and Deploying Computer Vision Models

    Skills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Model Deployment, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Feature Engineering, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Quality, Data Manipulation, Performance Metric, Technical Communication

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Fine-Tuning and Evaluating Vision AI Models

    Skills you'll gain: Transfer Learning, Image Analysis, Computer Vision, Model Evaluation, Convolutional Neural Networks, Performance Metric, Quality Assessment, Performance Tuning, Performance Measurement, Data Quality, Applied Machine Learning, Data Validation, Performance Analysis, Predictive Modeling, Statistical Machine Learning, Statistical Modeling

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Building Vision and NLP Workflows with TensorFlow pipelines

    Skills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Implement Real-Time Face Detection with OpenCV & Python

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Process Images, Create Captioning AI Models

    Skills you'll gain: Image Analysis, Data Preprocessing, Computer Vision, Visualization (Computer Graphics), Data Transformation, Python Programming, NumPy, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    GPT Vision: Seeing the World through Generative AI

    Skills you'll gain: Generative AI, Expense Reports, Image Analysis, Expense Management, Organizational Skills, Computer Vision, Data Storytelling, Project Controls, Social Media Content, Artificial Intelligence, Photography, Prompt Engineering, Cooking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    237 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Process Images & Extract Motion Features

    Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy

    Intermediate · Course · 1 - 4 Weeks

1…567…688

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

  • Computer Vision: Face Recognition Quick Starter in Python: Packt
  • Eyes on AI - Computer Vision Engineering: Coursera
  • Master OpenCV Fundamentals for Real-Time Computer Vision: EDUCBA
  • Advancing Your Career in Computer Vision Engineering: Coursera
  • Applied Object Detection & Segmentation: Coursera
  • Optimizing and Deploying Computer Vision Models: Coursera
  • Fine-Tuning and Evaluating Vision AI Models: Coursera
  • Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
  • Implement Real-Time Face Detection with OpenCV & Python: EDUCBA
  • Process Images, Create Captioning AI Models: Coursera

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