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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


  • E

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms

    5 stars, 20 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 5 (20) · Beginner · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Optimization, Model Training, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • B

    Board Infinity

    Advanced Deep Learning Architectures

    Skills you'll gain: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Application Deployment, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), Transfer Learning, Token Optimization, LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Computer Vision

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)

    4.3 stars, 9 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.3 (9) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Supervised Learning, Machine Learning, Logistic Regression

    4.7 stars, 6 reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Optimization, Configuration Management, Image Analysis, Debugging, Data Presentation, Experimentation, Computer Vision, Data Visualization, Deep Learning, Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Cost Management, Machine Learning, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Classification Algorithms, Data Preprocessing, Network Architecture, Data Processing, Design

    5 stars, 18 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 5 (18) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • K

    KodeKloud

    Introduction to OpenAI

    Skills you'll gain: OpenAI, Prompt Engineering, OpenAI API, Responsible AI, Token Optimization, Multimodal Prompts, AI literacy, Data Ethics, Large Language Modeling, Artificial Intelligence, Generative AI, LLM Application, Embeddings, Image Analysis, Model Training, Fine-tuning, Computer Vision, Application Programming Interface (API), Emerging Technologies

    Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • P

    Pearson

    Programming Generative AI

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Fine-tuning, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Prompt Engineering, Model Training, Image Quality

    Intermediate · Specialization · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • M

    Microsoft

    Multimodal and cross-modal AI integrations

    Skills you'll gain: Multimodal Prompts, Prompt Engineering, AI Orchestration, AI Workflows, Generative AI, AI Integrations, Microsoft Azure, OpenAI API, Prompt Patterns, LLM Application, Image Analysis, Software Architecture, Application Design, Computer Vision, Model Optimization

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks

    Intermediate · Specialization · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

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

  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Advanced Deep Learning Architectures: Board Infinity
  • Python per la Data Science: Università di Napoli Federico II
  • Deep Learning with TensorFlow: Packt
  • Systematic ML Optimization: Coursera
  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • Introduction to OpenAI: KodeKloud
  • Programming Generative AI: Pearson
  • Multimodal and cross-modal AI integrations: Microsoft

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