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 Michigan
Skills you'll gain: Computational Thinking, Logical Reasoning, Critical Thinking, Data Analysis, Deductive Reasoning, Mathematical Modeling, Analytical Skills, Analysis, Experimentation, Mathematics and Mathematical Modeling, Critical Thinking and Problem Solving, Data Literacy, Systems Thinking, Statistical Methods, Simulations, Predictive Modeling, Programming Principles, Decision Making, Statistical Inference, Prompt Engineering
★ 4.7 (5K) · Intermediate · Specialization · 3 - 6 Months

MathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning
★ 4.9 (36) · Beginner · Specialization · 1 - 3 Months
Khalifa University
Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence
Intermediate · Course

Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Model Training, Deep Learning, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Machine Learning Algorithms, Transfer Learning, Anomaly Detection, Geospatial Information and Technology, Traffic Flow Optimization, Artificial Intelligence and Machine Learning (AI/ML), Algorithms
★ 4.6 (99) · Intermediate · Specialization · 1 - 3 Months

MathWorks
Skills you'll gain: Image Analysis, Matlab, Computer Vision, File I/O, Automation, Anomaly Detection, Engineering Practices, Data Preprocessing, File Management, Data Store
★ 4.7 (28) · Beginner · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Image Analysis, Computer Vision, Matlab, Anomaly Detection, Geospatial Information and Technology, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Algorithms
★ 4.6 (60) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Optimization, Transfer Learning, PyTorch (Machine Learning Library), Fine-tuning, Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Model Training, Image Analysis, Computer Vision, AI Workflows, Tensorflow, Dataflow, Image Quality, Application Deployment, Technical Documentation, Deep Learning, Process Optimization
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, File I/O, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Engineering Practices, Medical Imaging, Spatial Analysis, Mathematical Software, Data Preprocessing, File Management, Quantitative Research, Graphical Tools, Color Theory, Algorithms
★ 4.7 (261) · Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Algorithms
★ 4.2 (10) · Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Forecasting, Data Processing, Anomaly Detection
★ 4.2 (17) · Intermediate · Course · 1 - 4 Weeks

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
★ 4.6 (43) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture
★ 4.3 (1.4K) · Intermediate · Course · 1 - 3 Months