Browse Lessons

Stanford AA222/CS361 Engineering Design Optimization I Probabilistic Surrogate Optimization

Stanford Seminar - A Picture of the Prediction Space of Deep Networks

Stanford Seminar - Human-AI Interaction Under Societal Disagreement

What does the future hold for Natural Language Processing? - Andrew Ng & Chris Manning

Stanford Webinar - Building Safe and Reliable Autonomous Systems

What advice do you have for someone breaking in to AI? - Chris Manning & Andrew Ng

Stanford Seminar - Collaborating with GPT-4: Ken Kahn, Oxford

Stanford Seminar - Applications of Generative Design for Fabrication in Healthcare Settings

Stanford CS25: V2 I Biomedical Transformers

Stanford CS25: V2 I Common Sense Reasoning

What inspired you to study Natural Language Processing? - Chris Manning & Andrew Ng

Stanford CS25: V2 I Robotics and Imitation Learning

Stanford Webinar - How [You] Can Use ChatGPT to Increase Your Creative Output

Stanford CS25: V2 I Strategic Games

AI and Robotics - Chelsea Finn & Andrew Ng

Stanford CS25: V2 I Emergent Abilities and Scaling in LLMs

Stanford CS25: V2 I Language and Human Alignment

Stanford Webinar - How ChatGPT and Generative AI Will Shape the Future of Work

Stanford Seminar - Connecting Robotics and Foundation Models, Brian Ichter of Google DeepMind

Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy

Stanford Seminar - Open Forum Moderated by Dennis Allison of Stanford

What does the future hold for AI and Robotics? - Chelsea Finn & Andrew Ng

What is it like working in an AI lab? - Chelsea Finn & Andrew Ng

What inspired you to choose AI and Robotics as a profession? - Chelsea Finn & Andrew Ng

What is our ethical responsibility with AI & Machine Learning? - Fei-Fei Li & Andrew Ng

Andrew Ng and Fei-Fei Li Discuss Human-Centered Artificial Intelligence - Stanford Online

Stanford Seminar - Intelligent Coordination for Sustainable Roadways

What advice do you have for getting started in AI & Machine Learning? - Fei-Fei Li & Andrew Ng

Stanford Seminar - Intelligence Augmentation through the Lens of Interactive Data Visualization

Is a Career in AI and Machine Learning Right for Me? - Fei-Fei Li & Andrew Ng

Stanford Seminar - A Hybrid Password Manager

Stanford Seminar - VLSI Industry Trends

Stanford Seminar - Multimaterial Design for Multifunctional Miniature Robots

Stanford Seminar - Going beyond the here and now: Counterfactual simulation in human cognition

Stanford Seminar - Should We Pause Giant AI Experiments?

Stanford Seminar - Soft Material Robotics and Next-Generation Surgical Robots

Stanford Seminar - #TechFail: From Intersectional (In)Accessibility to Inclusive Design

Stanford CS330 Deep Multi-Task & Meta Learning - Percy Liang Guest Lecture I 2022 I Lecture 17

Stanford CS330 Deep Multi-Task & Meta Learning - Frontiers and Open Challenges I 2022 I Lecture 16

Stanford CS330 Deep Multi-Task & Meta Learning - Lifelong Learning I 2022 I Lecture 15

Stanford CS330 Deep Multi-Task & Meta Learning - Domain Generalization l 2022 I Lecture 14

Stanford CS330 Deep Multi-Task & Meta Learning - Domain Adaptation l 2022 I Lecture 13

Stanford CS330 Deep Multi-Task & Meta Learning - Bayesian Meta-Learning l 2022 I Lecture 12

Stanford CS330 I Variational Inference and Generative Models l 2022 I Lecture 11

Stanford CS330 I Advanced Meta-Learning 2: Large-Scale Meta-Optimization l 2022 I Lecture 10

Stanford CS330 I Advanced Meta-Learning TopicsTask Construction l 2022 I Lecture 9

Stanford CS330 I Unsupervised Pre-training for Few-shot Learning l 2022 I Lecture 8

Stanford Webinar - What Product Managers Should Know About Product Strategy (But are Afraid to Ask)