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.
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, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Disaster Recovery, Algorithms, Computer Programming, Epidemiology
★ 4.6 (1.3K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Serverless Computing, Computer Vision, Image Analysis, Amazon Web Services, AI Integrations, Cloud API, Cloud Applications, Unstructured Data
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning
★ 4.5 (26) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Computer Vision, Model Evaluation, Analysis, Failure Mode And Effects Analysis, Root Cause Analysis, Scientific Visualization, Data Visualization, Correlation Analysis, Quality Assurance, Statistical Reporting
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Regression Analysis
★ 3.7 (12) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Data Analysis, Data Analysis Software, Advanced Analytics, Analytics, Predictive Analytics, Data Preprocessing
★ 4.7 (26) · Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Computer Vision, Model Training, Data Preprocessing, Python Programming, Interactive Design
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Deep Learning, Predictive Modeling, Transfer Learning, Model Training, Image Analysis, Model Deployment, Keras (Neural Network Library), Applied Machine Learning, Machine Learning Algorithms, Software Installation, AI Workflows, Artificial Intelligence
Mixed · Course · 1 - 4 Weeks

University of California, Santa Barbara
Skills you'll gain: Financial Statement Analysis, Financial Statements, Revenue Recognition, Generally Accepted Accounting Principles (GAAP), Financial Analysis, Accrual Accounting, Balance Sheet, Income Statement, Financial Reporting, Financial Accounting, Accounting, Depreciation, Fixed Asset, General Accounting, Expense Management, Operating Expense, Business Valuation, Asset Management
Intermediate · Course · 1 - 4 Weeks