Image classification courses can help you learn techniques for identifying and categorizing images, building neural networks, and implementing convolutional neural networks (CNNs). You can also develop skills in data preprocessing, model evaluation, and performance optimization. Many courses introduce tools like TensorFlow and PyTorch, that support training models and deploying AI applications.

Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Embeddings, Network Architecture, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, Computer Vision, Image Analysis, Data Cleansing, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Image Analysis, Matlab, Computer Vision, Spatial Data Analysis, Digital Signal Processing, Geospatial Information and Technology, Quantitative Research, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, Image Analysis, Computer Vision, Model Evaluation, Convolutional Neural Networks, Verification And Validation, Model Deployment, Performance Metric, Quality Assessment, Performance Tuning, Performance Measurement, Data Quality, Applied Machine Learning, Data Validation, Performance Analysis, Predictive Modeling, Statistical Machine Learning, Statistical Modeling
Intermediate · Course · 3 - 6 Months

Coursera
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Model Deployment, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Feature Engineering, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Quality, Data Manipulation, Performance Metric, Technical Communication
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Digital Signal Processing, Spatial Data Analysis, Medical Imaging, Spatial Analysis, Algorithms
Beginner · Course · 1 - 4 Weeks