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  2. 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


  • K

    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

    Category: New
    New
  • 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

    4.6 stars, 90 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.6 (90) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning

    4.5 stars, 26 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (26) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Michigan

    Using Python to Access Web Data

    Skills you'll gain: Web Scraping, Restful API, Web Services, JSON, Extensible Markup Language (XML), Network Protocols, Extensible Languages and XML, Application Programming Interface (API), Hypertext Markup Language (HTML), Python Programming, Software Installation, Development Environment

    4.8 stars, 45K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.8 (45K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Computer Vision: YOLO Custom Object Detection with Colab GPU

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Fine-tuning, Transfer Learning, Model Training, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Data Collection, Software Installation

    2.9 stars, 10 reviews, Beginner, Course, 3 - 6 Months

    ★ 2.9 (10) · Beginner · Course · 3 - 6 Months

  • 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 stars, 16 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.9 (16) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • 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, System Configuration, Deep Learning, Real Time Data, Model Deployment, Software Installation, Application Deployment

    Intermediate · Course · 3 - 6 Months

  • E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Programming Principles, Program Development, Pseudocode, Problem Solving, Analytical Skills, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Computer Architecture, Debugging

    4.7 stars, 1.4K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (1.4K) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • 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

  • 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

  • K

    KodeKloud

    Vision AI and Advanced OpenAI

    Skills you'll gain: OpenAI API, OpenAI, Generative Model Architectures, Responsible AI, Generative AI, Prompt Engineering, Embeddings, Multimodal Prompts, Image Analysis, Large Language Modeling, Token Optimization, AI literacy, LLM Application, AI Workflows, Data Ethics, Model Deployment, Scalability, Content Optimization, Critical Thinking and Problem Solving, Performance Measurement

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
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