English Courses

Career Certificate

Diversity, Equity, and Inclusion in Healthcare

Mitigate health disparities and bias in the healthcare system.

• edX
• 8 weeks, 2-4 hours a week
• Self-Paced
• $448.00
• 2 courses

Diversity, Equity and Inclusion: Disparities in Healthcare

Discover how various healthcare inequities present across diverse social identities, and how historical factors have institutionalized often-invisible medical racism.

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Strategies To Improve and Incorporate Diversity, Equity and Inclusion in Healthcare

Find out how you can lead coalitions for change from wherever you are in your organization in order to build and sustain recruitment practices that enhance diversity, equity, and inclusion in your hea

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Building Decarbonization - Pathways to a Carbon-Neutral Future

An overview of embodied and operational decarbonization strategies for commercial new construction.

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

Stanford Seminar - Failures & Where to Find Them: Considering Safety as a Function of Structure

Explore how to uncover safety failures in autonomous systems using simulation, adaptive stress testing, critical-state analysis, and anomaly detection.

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

Using Data for Increased Realism with Haptic Modeling and Devices

Explores data-driven haptic modeling that combines recorded touch signals and human preferences to create realistic textures, sounds, and social touch in virtual interactions.

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

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

How cognitively appropriate voice and visual tools can make computing and AI education accessible to young children.

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

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

Learn how product teams use continuous customer discovery, specific behavioral stories, and assumption testing to make better decisions about what to build.

• 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

Examines how fairness, accountability, transparency, explainability, and human rights can be integrated into AI development through bias-mitigation examples.

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

Stanford Seminar - Developing Design Spaces for Visualization - Tamara Munzner

Learn how to construct and evaluate visualization design spaces that organize design choices and support systematic reasoning about possible solutions.

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

Stanford Seminar - Theories of Inference for Visual Analysis

Examines how visualization can support valid statistical inference by representing uncertainty and making implicit model checks explicit in exploratory analysis.

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

Extended Reality for Everybody - Michael Nebeling

Learn how novice designers and instructors can prototype usable, safe, and inclusive augmented, virtual, and mixed reality experiences with familiar tools.

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

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

Learn parameter estimation in Bayesian networks using maximum likelihood, Laplace smoothing, and expectation maximization.

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