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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


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    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Amazon Elastic Compute Cloud, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Application Deployment, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Feature Engineering, Application Development, Data Processing, System Requirements

    Beginner · Specialization · 1 - 3 Months

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    Status: AI skills
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    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Data Quality, Generative AI, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Software Visualization, Computer Vision, Dimensionality Reduction, Natural Language Processing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    21 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

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    EDUCBA

    TensorFlow: Build & Deploy Face Mask Detection

    Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, System Requirements

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Mask Detector with Python & TensorFlow: Build & Deploy

    Skills you'll gain: Image Analysis, Tensorflow, Amazon Web Services, Cloud Applications, Application Development, Application Deployment, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Processing, Front-End Web Development

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Image Captioning with TensorFlow & Streamlit

    Skills you'll gain: Amazon Elastic Compute Cloud, Application Deployment, Tensorflow, Image Analysis, Feature Engineering, Computer Vision, Deep Learning, Applied Machine Learning, Application Development, Data Processing

    Mixed · Course · 1 - 4 Weeks

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    Alberta Machine Intelligence Institute

    Generative AI Essentials

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Responsible AI, Generative AI, LLM Application, Data Ethics, Image Analysis, Business Ethics, OpenAI, ChatGPT, Ethical Standards And Conduct, AI Product Strategy, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Data Processing, Data Science

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Python Programming, Google Cloud Platform, Development Environment

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Natural Language Processing, Text Mining, Deep Learning, Applied Machine Learning, Python Programming, Artificial Neural Networks, Data Processing, Jupyter

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Data Processing, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Tensorflow, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Data Processing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Image Classification with Keras: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Computer Vision, Deep Learning, Tensorflow, Google Cloud Platform, Applied Machine Learning, Machine Learning Methods, Data Processing, Visualization (Computer Graphics)

    Mixed · Course · 1 - 4 Weeks

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

  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • PyTorch for Deep Learning: DeepLearning.AI
  • TensorFlow: Build & Deploy Face Mask Detection: EDUCBA
  • Mask Detector with Python & TensorFlow: Build & Deploy: EDUCBA
  • Image Captioning with TensorFlow & Streamlit: EDUCBA
  • Generative AI Essentials: Alberta Machine Intelligence Institute
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • Sentiment Analysis with RNNs in Keras: EDUCBA
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA

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