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.

Skills you'll gain: Amazon Bedrock, Prompt Engineering, Prompt Engineering Tools, Responsible AI, Prompt Patterns, Generative Model Architectures, AI Security, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Multimodal Prompts, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Artificial Intelligence, Machine Learning Methods, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Machine Learning
Beginner · Course · 1 - 3 Months

Columbia University
Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Photography, Color Theory, Digital Signal Processing, Semiconductors, Algorithms
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Analytics, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Applied Machine Learning, Supervised Learning, Performance Metric, Project Implementation, Logistic Regression, Decision Tree Learning
Intermediate · Course · 1 - 3 Months

Pragmatic AI Labs
Skills you'll gain: Debugging, Test Driven Development (TDD), Unit Testing, AI Integrations, Test Script Development, Software Testing, Test Automation, Context Engineering, Responsible AI, Risking, Software Architecture, Verification And Validation, AI literacy, AI Workflows, Software Documentation, Engineering Documentation, Python Programming, Large Language Modeling, Cloud Computing Architecture
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Model Training, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms, Data Transformation
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Technical Analysis, Market Trend, Trend Analysis, Risk Control, Financial Trading, Risk Management, Risk Modeling, Securities Trading, Market Analysis, Business
Mixed · Course · 1 - 3 Months

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, Front-End Web Development, Data Preprocessing, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Fraud detection, Anomaly Detection, Loss Prevention, R Programming, R (Software), Analytical Skills, Machine Learning Methods, Unsupervised Learning, Financial Data, Risk Analysis, Analytics, Business Strategies, Data-Driven Decision-Making, Supervised Learning, Big Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Technical Analysis, Market Trend, Risk Management, Financial Trading, Trend Analysis, Risk Analysis, Market Dynamics, Market Analysis, Verification And Validation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, AI literacy, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Data Analysis
Intermediate · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Machine Learning Methods, Classification Algorithms, Probability Distribution
Build toward a degree
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture
Beginner · Guided Project · Less Than 2 Hours