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.

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, Machine Learning, Machine Learning Algorithms, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

LearnQuest
Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Regression Analysis, Plot (Graphics), Forecasting, Statistical Analysis, Predictive Modeling, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Supply Chain, Supply Chain Management, Data Analysis, Pandas (Python Package), Statistical Modeling, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks
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

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra
Mixed · Course · 1 - 4 Weeks

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
Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms
Advanced · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Cyber Threat Intelligence, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Model Training, Incident Response, Machine Learning Methods, Anomaly Detection, Applied Machine Learning, Continuous Monitoring, AI Security, Cryptographic Protocols, Network Security, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Routing Protocols, Network Architecture
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra
Mixed · 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

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