United States Courses & Certifications

Forecasting and Aligning AI - Jacob Steinhardt

Modern ML systems sometimes undergo qualitative shifts in behavior simply by “scaling up” the number of parameters and training examples. Given this, how can we extrapolate the behavior of future ML systems and ensure that they behave safely and are alig…

• YouTube
• 55 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Cognitively Appropriate Computing Education for Young Learners

Explore cognitively appropriate computing education for young learners through voice-based storytelling and visual tools, addressing literacy challenges and fostering computational thinking skills.

• YouTube
• 51 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - The What and Why of Continuous Discovery, Teresa Torres

Explore continuous product discovery techniques, including customer engagement, opportunity solution trees, and effective decision-making for product teams to drive innovation and success.

• YouTube
• 51 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar

I will describe some key ingredients to enable this: (1) robust self-supervised learning (2) uncertainty awareness (3) compositionality. We utilize NVIDIA Isaac for GPU-accelerated robot learning at scale on a variety of tasks and domains.

• YouTube
• 56 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - The FATE of AI Ethics, Anna Bethke

Explore AI ethics principles, their importance, and strategies to incorporate fairness, accountability, transparency, and human rights into AI development processes.

• YouTube
• 55 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Developing Design Spaces for Visualization - Tamara Munzner

Explore visualization design spaces, their creation, assessment, and application in data representation. Insights on chart combinations, data wrangling, and task abstraction for effective visual communication.

• YouTube
• 57 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Theories of Inference for Visual Analysis

Explore theories of visual inference, including uncertainty visualization, effect size judgments, and Bayesian cognition. Learn how visualizations support causal inference and model checks in data analysis.

• YouTube
• 1 hour
• Self-Paced
• Free Online Course

Extended Reality for Everybody - Michael Nebeling

Explore extended reality design challenges and solutions, empowering novice designers and instructors with accessible tools and methods for creating AR/VR experiences.

• YouTube
• 57 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 3 - Maximum Likelihood - Stanford CS221: AI (Autumn 2019)

Explore maximum likelihood estimation in Bayesian networks, covering parameter learning, probabilistic inference, and advanced concepts like regularization and Expectation Maximization.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 2 - Forward-Backward - Stanford CS221: AI

Explore advanced probabilistic inference techniques, including hidden Markov models, particle filtering, and Gibbs sampling, for AI applications in object tracking and more.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 1 - Inference - Stanford CS221: AI

Explore Bayesian networks for AI, covering probabilistic inference, modeling, and applications in object tracking, language modeling, and document classification.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Online Course

Data Overload - Making Sense of Statistics in the News, Kristin Sainani

Learn to critically analyze statistics in news, understand risk communication, and navigate common pitfalls in data interpretation with Stanford professor Kristin Sainani's insightful webinar.

• YouTube
• 58 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Computing with FPGAs - Oskar Mencer

Explore computing with FPGAs, covering system architecture, performance examples, and programming techniques. Learn about stream architectures, arithmetic styles, and application domains for FPGA-based solutions.

• YouTube
• 1 hour
• Self-Paced
• Free Online Course

Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Explore deep learning applications in symbolic mathematics, covering integration techniques, ODEs, and model evaluation, with insights on generalization and comparisons to traditional methods.

• YouTube
• 53 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham

Explore AI's impact on accessibility, challenges in human-computer interaction, and innovative solutions for users with disabilities in this thought-provoking seminar.

• YouTube
• 1 hour
• Self-Paced
• Free Online Course