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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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    DeepLearning.AI

    TensorFlow を使った畳み込みニューラルネットワーク

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Transfer Learning, Image Analysis, Computer Vision, Classification Algorithms, Applied Machine Learning, Model Optimization, Scientific Visualization, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Fine-tuning, Embeddings, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Data Preprocessing, Model Optimization, Model Training

    Intermediate · Course · 1 - 4 Weeks

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    SkillUp

    Advanced Healthcare Analytics

    Skills you'll gain: Model Training, Decision Intelligence, Clinical Documentation, Health Informatics, Predictive Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Medical Privacy, Large Language Modeling, Logistic Regression, Computer Vision, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Multimodal Use Cases with Gemini 1.5

    Skills you'll gain: Gemini, Google Gemini, Image Analysis, LLM Application, Multimodal Prompts, Prompt Patterns, Large Language Modeling, Google Cloud Platform, Computer Vision

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
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    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Tensorflow, Convolutional Neural Networks, LLM Application, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Generative AI, Multimodal Prompts, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Artificial Intelligence for Robotics

    Skills you'll gain: Robotics, Artificial Intelligence, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Convolutional Neural Networks, AI Integrations, Natural Language Processing, Artificial Neural Networks, Reinforcement Learning, Model Training, Machine Learning, Python Programming, Automation, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Intermediate Python – Libraries, Tools & Practical Projects

    Skills you'll gain: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Plot (Graphics), Interactive Data Visualization, Data Visualization, Geospatial Mapping, JSON, Dashboard, Data Visualization Software, Numerical Analysis, Web Applications, File I/O

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Real Madrid Graduate School Universidad Europea

    Future of data and technology in football

    Skills you'll gain: LLM Application, Applied Machine Learning, Computer Vision, Analytics, Real Time Data, Reinforcement Learning, Machine Learning Methods, Large Language Modeling, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence, Data Integration, Analysis, Automation, Supervised Learning, Natural Language Processing, Data Presentation, Innovation

    Beginner · Course · 1 - 4 Weeks

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

  • TensorFlow を使った畳み込みニューラルネットワーク: DeepLearning.AI
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • Advanced Healthcare Analytics: SkillUp
  • Deep Learning, NLP, and AI Applications: Packt
  • Multimodal Use Cases with Gemini 1.5: Google Cloud
  • Deep Learning with Keras and Practical Applications: Packt
  • Learning Deep Learning: Unit 2: Pearson
  • Foundations of Model Optimization and Deep Learning: Packt
  • Learning Deep Learning: Unit 3: Pearson
  • Artificial Intelligence for Robotics: Packt

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