Uncertainty Quantification Courses and Certifications

Introduction to Uncertainty Quantification

10 ratings at Coursera

Quantify uncertainty in physical and engineering systems: aleatory versus epistemic uncertainty, probability foundations, Monte Carlo propagation, Gaussian process and polynomial chaos surrogates, reliability and Bayesian inference.

• Coursera
• 4 weeks, 7 hours a week
• Self-Paced
• Paid Course

Error and Uncertainty in Google Sheets

157 ratings at DataCamp

In a world where predictions shape our daily decisions, from choosing outfits based on weather forecasts to planning commutes with a glance at traffic conditions, understanding the accuracy and intricacies of predictions becomes paramount.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Basin and Petroleum System Modeling

Uncertainty Quantification in Basin and Petroleum System Modeling

Explore uncertainty quantification in basin modeling through Bayesian approaches, seismic data analysis, and rock physics modeling for enhanced geological interpretations.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Uncertainty Quantification with Conformal Prediction - A Path to Reliable ML Models

Dive into conformal prediction techniques for quantifying uncertainty in ML models, covering implementation across various domains and practical applications using Python and pre-trained neural networks.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

Decision Making Under Uncertainty: Introduction to Structured Expert Judgment

Don't let the absence of data or the lack of appropriate data affect your decision-making. In this introductory course you will discover the theory behind Structured Expert Judgment.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Handling Uncertainties and Calibrating System Models with Wolfram Language

Webinar on calibrating system model parameters against real-world data and visualizing output uncertainty, with orbital transfer, chemical reaction and loudspeaker examples.

• Wolfram U
• 1 hour
• Self-Paced
• Free Online Course

Toronto Machine Learning Series (TMLS)

Quantifying the Uncertainty in Model Predictions Using Conformal Prediction

Learn techniques for quantifying uncertainty in neural network predictions, focusing on conformal prediction as a versatile, statistically rigorous method applicable to classification and regression tasks.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Data Science Dojo

Hallucination-Free LLMs: Strategies for Monitoring and Mitigation

Explore strategies for monitoring and mitigating hallucinations in LLMs, including uncertainty quantification and self-evaluation techniques. Learn to set up effective monitoring systems for deployed models.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Hallucination-Free LLMs: Strategies for Monitoring and Mitigation

Explore strategies for monitoring and mitigating hallucinations in LLMs, including uncertainty quantification and self-evaluation techniques, to enhance the quality and reliability of AI-generated responses.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Rock Flow Dynamics

Carbon Capture and Sequestration: Integrated Tools for Energy Transition - Part 3

Explore carbon capture and sequestration technologies for achieving net-zero goals and supporting energy transition initiatives through integrated tools and workflows.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

MLOps.community

Reliable Hallucination Detection in Large Language Models

Explore advanced techniques for detecting hallucinations in large language models, including a novel sampling-based method that outperforms existing approaches in identifying non-factual and factual statements.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Advanced Probability: Uncertainty in Data

164 ratings at DataCamp

Understanding Probability and Uncertainty in Business Uncertainty is an inherent part of decision-making, but advanced probability techniques allow us to model and manage it effectively.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Decision Science and Strategic Modeling

Build decision models using decision trees, Bayesian updating, Python, and Monte Carlo simulation to evaluate risk, sensitivity, causal impact, and pricing strategies.

• Udacity
• 15 hours
• Self-Paced
• Paid Course

Fundamentals of Scientific Research Under Uncertainty

43 ratings at Coursera

Research as systematic uncertainty reduction: survey the research landscape, distinguish science from pseudoscience, apply conditional probability and Bayes' Rule, and plan hypothesis tests.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Fundamentals of Orbit Determination

Build force models, measurement Jacobians, and covariance propagation for orbit determination: two-body and perturbed dynamics, range and range-rate observables, state noise and dynamic model compensation.

• Coursera
• 5 weeks, 8 hours a week
• Self-Paced
• Paid Course