Image segmentation courses can help you learn pixel classification, boundary detection, and object recognition techniques. You can build skills in using convolutional neural networks, understanding image preprocessing methods, and implementing segmentation algorithms. Many courses introduce tools like TensorFlow and OpenCV, that support applying these skills in projects involving computer vision and artificial intelligence.

Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning
★ 4.9 (20) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Fine-tuning, Applied Machine Learning, Model Training, Deep Learning, Model Optimization, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics)
★ 4.7 (535) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Mammography, Model Evaluation, Model Training, Artificial Intelligence, Bayesian Network, Image Analysis, AI Product Strategy, Machine Learning Methods, Oncology, Artificial Neural Networks, Medical Imaging, Machine Learning, Applied Machine Learning, Deep Learning, Epidemiology
★ 4.6 (81) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Machine Learning Methods, Matlab, Transfer Learning, Traffic Flow Optimization
★ 4.7 (36) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability
★ 4.9 (16) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Fine-tuning, Model Optimization, Generative AI, Application Deployment, AI Workflows, Generative Model Architectures, Model Training, AI Personalization, Image Quality, Embeddings, Autoencoders, Performance Tuning, Data Preprocessing, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Model Optimization, Network Architecture
★ 4.9 (43K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Model Training, Data Cleansing, Model Optimization, Quality Assurance, Fine-tuning, Quality Assessment, Packaging and Labeling, Verification And Validation, Unsupervised Learning, Data Integrity, AI Workflows, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Fine-tuning, Transfer Learning, Model Evaluation, Image Analysis, Model Training, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming
★ 4 (32) · Intermediate · Guided Project · Less Than 2 Hours

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Applied Machine Learning, Image Quality, Machine Learning Methods, Environmental Monitoring, Spatial Analysis, Spatial Data Analysis, Computer Vision, Statistical Methods, Convolutional Neural Networks, Dimensionality Reduction, Statistical Analysis, Feature Engineering, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning, Engineering, Scientific, and Technical Instruments, Supervised Learning
★ 4.7 (186) · Intermediate · Course · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Data Ethics, Microsoft Excel, Generative AI, Excel Formulas, Responsible AI, Data Transformation, Linear Algebra, Feature Engineering, Digital Signal Processing
★ 4.5 (44) · Beginner · Course · 1 - 4 Weeks