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AI in Robotics: Learning Algorithms, Design and Safety

Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI

Applied AI for Materials Discovery

Generative AI Business Sprint

Agentic AI: Business Implications and Applications

Social and Ethical Responsibilities of Computing (SERC)

Automated officiating in professional sports

Enterprise AI: Strategy, Implementation, and Integration

Deep Learning and Generative Models

Deep Learning and Generative Models: Diffusion and Autoregressive Models

Deep Learning and Generative Models: Representations and Self-Supervised Learning

Deep Learning and Generative Models: Neural Network Architectures

Deep Learning and Generative Models: Training, Inference, and Model Evaluation

Deep Learning and Generative Models: Neural Network Foundations with PyTorch

A New Imperative for AI Governance and Ethics: Winning the AI Race Without Losing Control

Probability and Statistical Data Analysis

Brain and Cognitive Sciences Computational Tutorial: Optimizing the Full Stack for Generative Image and Video Models

AI Risk and Readiness: From Governance to Growth

Probability and Statistical Data Analysis: Multivariate Statistics and Bayesian Inference

Probability and Statistical Data Analysis: Uncertainty Quantification and Data-Driven Decisions