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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

    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, System Configuration, Deep Learning, Real Time Data, Model Deployment, Software Installation

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning and Modern AI Architectures

    Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Data Transformation, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    710 reviews

    Advanced · Course · 1 - 4 Weeks

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

    IBM

    Generative AI for NLP with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.1K reviews

    Advanced · Specialization · 3 - 6 Months

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computational Vision

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computational Thinking, Psychology, Human Factors

    4.4
    Rating, 4.4 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Visualization (Computer Graphics), Model Optimization, Development Environment, Software Installation, Algorithms

    Beginner · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Applied Deep Learning and neural networks

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Convolutional Neural Networks, Exploratory Data Analysis, Feature Engineering, Tensorflow, Model Training, Predictive Modeling, Transfer Learning, Applied Machine Learning, Machine Learning Methods, Application Development, Predictive Analytics, Model Evaluation, Machine Learning, Network Model, Analytics, Network Architecture, Design

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Model Training, Regression Analysis, Artificial Intelligence, No-Code Development, AI literacy, Predictive Modeling, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Active Machine Learning with Python

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Scikit Learn (Machine Learning Library), Computer Vision, Machine Learning, Sampling (Statistics), Continuous Monitoring, Data Collection, Python Programming, Big Data, Data Quality

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Transfer Learning and Fine-Tuning for AI Models

    Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Deep Learning and Modern AI Architectures: Coursera
  • AI Capstone Project with Deep Learning: IBM
  • Generative AI for NLP with PyTorch: IBM
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Computational Vision: University of Colorado Boulder
  • Computer Vision: Face Recognition Quick Starter in Python: Packt
  • Applied Deep Learning and neural networks: EDUCBA
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Active Machine Learning with Python: Packt

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