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.

University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Computer Vision, Machine Learning Methods, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Statistical Machine Learning, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Data Science, Programming Principles, Python Programming, Applied Machine Learning, Statistical Inference
Intermediate · Specialization · 3 - 6 Months

Universitat Autònoma de Barcelona
Skills you'll gain: Computer Vision, Image Analysis, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Algorithms, Histogram
Mixed · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, System Requirements
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Automation, Anomaly Detection, Spatial Data Analysis, Data Processing, Engineering Practices, Water Sustainability, Medical Imaging, Spatial Analysis, Data Manipulation, Exploratory Data Analysis, Histogram, Quantitative Research, Data Analysis Software, Analysis, Data Import/Export, Algorithms
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Diagnostic Radiology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Epidemiology, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Eindhoven University of Technology
Skills you'll gain: Business Process, Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Data Processing, Real Time Data, Data Science, Verification And Validation, Data Validation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)
Beginner · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Machine Learning Methods, Data Analysis, Data Validation
Beginner · Course · 1 - 4 Weeks

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Computer Vision, Spatial Analysis, Machine Learning, Dimensionality Reduction, Linear Algebra, Deep Learning, Data Validation, Supervised Learning, Probability & Statistics, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months