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.

Coursera
Skills you'll gain: Image Quality, Data Preprocessing, Data Cleansing, Model Training, Data Quality, Generative AI, Fine-tuning, Data Collection, Data Wrangling, Data Transformation, Data Ethics, Data Integrity, Data Management, Metadata Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Model Training, Image Analysis, Data Processing, Scientific Visualization, Data Transformation, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
★ 4.1 (11) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.4 (91) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Computer Vision, Model Training, Front-End Web Development, Data Preprocessing, Python Programming
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Supervised Learning, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Model Training, Machine Learning Algorithms, Transfer Learning, Text Mining, Model Evaluation, Data Manipulation, Marketing Analytics, Python Programming, Embeddings, Classification Algorithms, Marketing, Artificial Neural Networks, Performance Metric
★ 3.1 (14) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Deployment, Amazon Web Services, Model Deployment, Application Deployment, Tensorflow, Image Analysis, Convolutional Neural Networks, Token Optimization, Feature Engineering, Data Preprocessing, Deep Learning, Model Training, Data Processing, Recurrent Neural Networks (RNNs), Data Cleansing, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
★ 4.6 (21) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Model Training, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms, Data Transformation
★ 3.9 (60) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Failure Analysis, Applied Machine Learning, Model Training, AI Workflows, Model Optimization, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning
Intermediate · Course · 1 - 4 Weeks

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Applied Machine Learning, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Image Quality, Feature Engineering, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
★ 4.7 (183) · Intermediate · Course · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming
★ 4.4 (228) · Intermediate · Guided Project · Less Than 2 Hours