Model validation courses can help you learn statistical techniques, performance metrics, overfitting prevention, and cross-validation methods. You can build skills in assessing model accuracy, understanding bias-variance tradeoffs, and implementing robust validation frameworks. Many courses introduce tools like R, Python, and specialized libraries such as scikit-learn and TensorFlow, that support applying these validation techniques to both traditional statistical models and those used in artificial intelligence (AI) applications.

University of Pennsylvania
Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Logistic Regression, Vocabulary
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Modeling, Data Validation, Media Planning, Variance Analysis, Regression Analysis, Predictive Analytics, Predictive Modeling, Web Analytics, Forecasting, Trend Analysis, Marketing Analytics, Time Series Analysis and Forecasting, Marketing Budgets, Analytics, Data-Driven Decision-Making, Data Quality, Advertising Campaigns
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling
Intermediate · Course · 1 - 4 Weeks

University of Leeds
Skills you'll gain: Test Case, Software Testing, Software Quality Assurance, Quality Assurance, User Acceptance Testing (UAT), Test Planning, Verification And Validation, Acceptance Testing, System Testing, White-Box Testing, Unit Testing, Functional Testing, Integration Testing, Software Development Life Cycle, Software Development
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Patient Registration, Registration, Health Information Management, Data Quality, Data Entry, Data Validation, Medical Records, Electronic Medical Record System, Hospital Admissions, Patient Safety, Patient Flow, Data Integrity, Quality Assurance
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Credit Risk, Financial Statement Analysis, Risk Modeling, Working Capital, Financial Analysis, Financial Modeling, Portfolio Risk, Lending and Underwriting, Financial Data, Risk Management, Risk Analysis, Bank Regulations, Analysis, Cash Flows, Income Statement, Balance Sheet, Regulatory Compliance, Business Metrics, Financial Statements, Bankruptcies
Beginner · Specialization · 1 - 3 Months
Skills you'll gain: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Integrity, Data Quality, Data Maintenance, System Monitoring, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication
Intermediate · Course · 1 - 4 Weeks