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.

Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, AI powered creativity, Applied Machine Learning, Deep Learning, Python Programming, Development Environment, Software Installation
Intermediate · Course · 1 - 3 Months

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

Coursera
Skills you'll gain: Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Applied Machine Learning, Supervised Learning, Geospatial Mapping, Data Science, Environmental Engineering
Beginner · Course · 1 - 4 Weeks
Khalifa University
Skills you'll gain: Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence
Intermediate · Course

Skills you'll gain: AWS SageMaker, Deep Learning, Model Evaluation, Model Training, Computer Vision, Model Optimization, Plot (Graphics), Machine Learning, Python Programming, Data Science
Intermediate · Guided Project · Less Than 2 Hours

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Applied Machine Learning, Image Quality, Machine Learning Methods, Statistical Methods, Convolutional Neural Networks, Dimensionality Reduction, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation, Model Training
★ 4.7 (187) · Intermediate · Course · 3 - 6 Months

Corporate Finance Institute
Skills you'll gain: Classification Algorithms, Model Evaluation, Logistic Regression, Predictive Modeling, Analytics, Scikit Learn (Machine Learning Library), Performance Metric
★ 4.4 (7) · Advanced · Course · 1 - 3 Months

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

University of Colorado Boulder
Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning, Artificial Intelligence
★ 4.5 (26) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, Image Analysis, Fine-tuning, Computer Vision, Model Evaluation, Model Training, Model Optimization, Performance Metric, Quality Assessment, Performance Measurement, Applied Machine Learning, Performance Analysis, Predictive Modeling, Statistical Machine Learning, Statistical Modeling
Intermediate · Course · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Classification Algorithms, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Fine-tuning, Bayesian Statistics
★ 5 (8) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Application Deployment, Project Implementation, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 4 Weeks