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: NewStatus: PreviewNortheastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction
Status: PreviewGoogle Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Applied Machine Learning, Text Mining, Deep Learning, Artificial Neural Networks
Status: Free TrialSkills you'll gain: Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Data Science, Machine Learning
Status: PreviewGoogle Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning
Status: PreviewNortheastern University
Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability
Status: NewStatus: PreviewUniversity of the Arts London
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, OpenAI, Writing and Editing, Artificial Intelligence, Machine Learning Methods, Responsible AI, Natural Language Processing, Writing, Data Ethics, Artificial Neural Networks, Deep Learning
Status: PreviewDeepLearning.AI
Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks
Status: NewStatus: Free TrialSkills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing
Status: Free TrialSkills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis
Status: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Generative Model Architectures, Deep Learning, Computer Vision
Searches related to computer vision
In summary, here are 10 of our most popular computer vision courses
- Statistical Learning for Engineering Part 1: Northeastern University
- Transformer Models and BERT Model - בעברית: Google Cloud
- Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
- Transformer Models and BERT Model - 日本語版: Google Cloud
- NLP in Engineering: Concepts & Real-World Applications: Northeastern University
- Creative AI: Text and Transformations: University of the Arts London
- Последовательные модели: DeepLearning.AI
- Learning Deep Learning: Unit 3: Pearson
- Deep Learning with Keras and Practical Applications: Packt
- RNN Architecture and Sentiment Classification: Packt
