Uncertainty Quantification Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Probabilistic Operator Learning - Generative Modeling and Uncertainty Quantification

Discover probabilistic operator learning through ICON networks for Bayesian inference in differential equations, enabling uncertainty quantification and generative modeling.

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

RWTH Center for Artificial Intelligence

Uncertainty Quantification in Machine Learning - From Aleatoric to Epistemic

Explore aleatoric and epistemic uncertainty types in machine learning, their quantification methods, and theoretical challenges for safer AI applications.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

IPhT-TV

Uncertainty Quantification for Neural Networks in Particle Physics

Explore uncertainty quantification techniques for neural networks applied to particle physics research and data analysis challenges.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

IPhT-TV

Uncertainty Quantification for Deep Learning in Astroparticle Physics

Explore uncertainty quantification techniques for deep learning applications in astroparticle physics research and data analysis.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Discover AI

Salesforce - New AI Agents That Doubt Themselves - Agentic Uncertainty Quantification

Explore Salesforce's breakthrough AUQ framework that enables AI agents to detect uncertainty and self-reflect, moving beyond fragile ReAct loops toward mathematically robust long-horizon reasoning.

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

Hausdorff Center for Mathematics

Multilevel Monte Carlo Methods for Comprehensive Uncertainty Quantification

Explore advanced Multilevel Monte Carlo methods for efficient uncertainty quantification, extending beyond mean estimation to capture variance, skewness, and distributional behavior.

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

Inside Livermore Lab

The Nexus of Machine Learning, Physics-based Modeling, and Uncertainty Quantification

Explore the intersection of machine learning, physics-based modeling, and uncertainty quantification in scientific computing and foundation models.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

An Intuitive Introduction to Probability

1884 ratings at Coursera

Intuitive introduction to probability theory, covering key concepts and practical applications. Gain tools to handle uncertainty in daily life through engaging modules and exercises.

• Coursera
• 1 day 5 hours 34 minutes
• Self-Paced
• Paid Course

Risk-based Contingency Management Masterclass

Master risk-based contingency management through schedule and cost principles, risk evaluation, and calculation processes for effective project execution and control.

• OpenLearning
• Self-Paced
• Paid Course

Practical Methodology and Ethics in AI

11 ratings at Coursera

Master practical AI methodologies while exploring ethical considerations, from model training to deployment, with emphasis on bias detection, probabilistic approaches, and creating responsible AI solutions.

• Coursera
• 6 hours 56 minutes
• Self-Paced
• Paid Course

Probabilistic Deep Learning with TensorFlow 2

109 ratings at Coursera

Explore probabilistic deep learning with TensorFlow Probability, covering distributions, Bayesian neural networks, normalizing flows, and variational autoencoders. Gain hands-on experience through coding tutorials and a capstone project.

• Coursera
• 2 days 4 hours 34 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals Part 2: Unit 2

Master statistical inference through hypothesis testing, confidence intervals, and A/B testing while learning to distinguish correlation from causation for robust data analysis.

• Coursera
• 6 hours 9 minutes
• Self-Paced
• Paid Course

Instituto de Matemática Pura e Aplicada

Engineering Uncertainty - From Heisenberg's Principle to Shape Optimization

Explore como o princípio da incerteza de Heisenberg se aplica à otimização de formas em engenharia e matemática, conectando teoria quântica com aplicações práticas.

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

IGNOU;  Chhattisgarh Swami Vivekanand Technical University

Artificial Intelligence using Prolog Programming

Explore AI concepts and implement solutions using Prolog. Learn problem-solving techniques, knowledge representation, machine learning, and natural language processing through hands-on programming exercises.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Application of AI in Reliability Engineering - Prognostics and Systems Health Management (PHM)

Explore AI-driven Prognostics and Health Management (PHM) to predict system failures, manage uncertainty, and enhance reliability and safety across industries like nuclear, aviation, and railways.

• Swayam
• Self-Paced
• Free Online Course