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
Status: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Generative Model Architectures, Deep Learning, Computer Vision
Status: Free TrialSkills you'll gain: PySpark, Data Pipelines, Apache Spark, Data Processing, Real Time Data, Data Visualization, Natural Language Processing, Distributed Computing, Text Mining, Data Transformation, Deep Learning, Performance Tuning
Status: PreviewSkills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Neural Networks, Predictive Modeling, Exploratory Data Analysis, Performance Tuning
Status: PreviewGoogle Cloud
Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Applied Machine Learning, Natural Language Processing
Status: PreviewGoogle Cloud
Skills you'll gain: Tensorflow, Generative AI, Keras (Neural Network Library), Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
Status: PreviewGoogle Cloud
Skills you'll gain: Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining
- Status: Preview
Google Cloud
Skills you'll gain: Performance Tuning, Applied Machine Learning, Natural Language Processing, Artificial Neural Networks, Deep Learning
Status: PreviewGoogle Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, Machine Learning Methods, Artificial Neural Networks, Natural Language Processing
Status: PreviewUniversity of Colorado Boulder
Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture
Status: Free TrialJohns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing
Searches related to computer vision
In summary, here are 10 of our most popular computer vision courses
- Create Image Captioning Models - Español: Google Cloud
- Data Streaming and NLP with PySpark: Edureka
- H2O Hydrogen Torch Starter Course: H2O.ai
- Attention Mechanism - Italiano: Google Cloud
- Encoder-Decoder Architecture - Italiano: Google Cloud
- Statistical Learning for Engineering Part 2: Northeastern University
- Attention Mechanism - 繁體中文: Google Cloud
- Attention Mechanism - Bahasa Indonesia: Google Cloud
- Encoder-Decoder Architecture - Français: Google Cloud
- 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
