Pattern recognition courses can help you learn techniques for data classification, feature extraction, and image analysis. You can build skills in statistical modeling, machine learning algorithms, and neural network design. Many courses introduce tools like Python libraries such as TensorFlow and scikit-learn, which are used to implement these techniques in projects involving AI and artificial intelligence applications.

Vanderbilt University
Skills you'll gain: Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Dimensionality Reduction, Digital Signal Processing, Data Analysis, Data Processing, Mathematical Software, Classification Algorithms
Intermediate · Course · 1 - 3 Months

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, Statistical Machine Learning, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

Coursera
Skills you'll gain: Geospatial Information and Technology, Environmental Monitoring, Spatial Data Analysis, Model Evaluation, Geographic Information Systems, GIS Software, Data Processing, Spatial Analysis, Image Analysis, Environmental Science, Data Analysis, Data Transformation, Verification And Validation, Technical Communication
Beginner · Course · 3 - 6 Months

University of California San Diego
Skills you'll gain: grep, Linux Commands, Linux, Unix Commands, Shell Script, Unix Shell, Linux Administration, Data Processing, Text Mining, Command-Line Interface, Data Manipulation, Unix, Automation
Beginner · Course · 1 - 3 Months
Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Applied Machine Learning, Geographic Information Systems, GIS Software, Spatial Analysis, Environmental Monitoring, Machine Learning Methods, Unsupervised Learning, Data Analysis Software, Image Analysis, Machine Learning, R Programming, Data Processing, Data Preprocessing, Classification Algorithms, Data Transformation, Dimensionality Reduction, Data Import/Export
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Training, Failure Analysis, Deep Learning, AI Workflows, Applied Machine Learning, Data Pipelines, Performance Metric, Scripting
Intermediate · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus
Build toward a degree
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Data Science, Data Manipulation, Data Transformation
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months