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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


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    U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Deep Learning, Machine Learning Software, Model Optimization, Machine Learning, Model Training, Artificial Neural Networks, Performance Tuning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Embeddings, Fine-tuning, Responsible AI, Model Optimization, Data Processing, Algorithms, Data Synthesis

    Intermediate · Course · 1 - 4 Weeks

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    C

    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Model Optimization, Artificial Neural Networks, Model Training, Performance Testing, Deep Learning, Vision Transformer (ViT)

    Intermediate · Course · 1 - 4 Weeks

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    A

    AI CERTs

    AI for Audio and Music

    Skills you'll gain: Responsible AI, Data Ethics, Digital Signal Processing, Natural Language Processing, Generative AI, AI literacy, AI Personalization, Artificial Intelligence, Transfer Learning, Music, Machine Learning Methods, Music Performance, Deep Learning, Information Privacy, Creativity

    Beginner · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

    Skills you'll gain: Model Optimization, Deep Learning, Tensorflow, Model Training, Model Evaluation, Test Data, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Application Frameworks, Machine Learning, Algorithms, Debugging

    Beginner · Course · 1 - 4 Weeks

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    D

    DeepLearning.AI

    النماذج المتعاقبة

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Artificial Neural Networks, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    A

    Alberta Machine Intelligence Institute

    Building and Deploying Generative AI Models

    Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, Agentic systems, LLM Application, Agentic Workflows, LangChain, AI Workflows, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Deep Learning, Model Optimization, Fine-tuning, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

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    N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Applied Machine Learning, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training

    Mixed · Course · 1 - 3 Months

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    E

    Edureka

    Advanced Tokenization and Sentiment Analysis

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Data Cleansing, Data Processing, Classification Algorithms, Applied Machine Learning, Real Time Data, Deep Learning, Unified Modeling Language, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    P

    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Wrangling, Data Processing, AI Personalization, Machine Learning Methods, Model Training, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

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

  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • 시퀀스 모델: DeepLearning.AI
  • Design and Build Custom Neural Networks: Coursera
  • AI for Audio and Music: AI CERTs
  • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
  • النماذج المتعاقبة: DeepLearning.AI
  • Building and Deploying Generative AI Models: Alberta Machine Intelligence Institute
  • Machine Learning with Small Data Part 2: Northeastern University
  • Modèles de séquence: DeepLearning.AI
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University

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