1
Post-Training Techniques: How LLMs Learn to Follow Instructions
1:34
2026-09-03
2
Can LLMs Actually Do Things? (Not Just Talk)
1:11
2026-09-04
3
LLMs Don't Have to Write One Word at a Time
1:18
2026-09-02
4
Stanford CS229 Machine Learning | Spring 2026 | Lecture 20: GMM (EM), PCA
1:18:56
2026-07-31
5
Stanford CS229 Machine Learning | Spring 2026 | Lecture 18: GMM (EM), PCA
1:16:25
2026-07-31
6
Stanford CS229 Machine Learning | Spring 2026 | Lecture 16: Basic Concept in RL, Policy Gradient
1:13:19
2026-07-31
7
Stanford CS229 Machine Learning | Spring 2026 | Lecture 14: Transformers, In-Context Learning
1:17:32
2026-07-31
8
Stanford CS229 Machine Learning | Spring 2026 | Lecture 13: LLMs, Next-Word Prediction Loss
1:00:42
2026-07-31
9
Stanford CS229 Machine Learning | Spring 2026 | Lecture 12: Representation Learning
1:15:57
2026-07-31
10
Stanford CS229 Machine Learning | Spring 2026 | Lecture 11: Diffusion Models
1:22:31
2026-07-31
11
Stanford CS229 Machine Learning | Spring 2026 | Lecture 10: GMM (EM), PCA
1:20:06
2026-07-31
12
Stanford CS229 Machine Learning | Spring 2026 | Lecture 9: K-Means and GMM (non-EM)
1:16:30
2026-07-31
13
Stanford CS229 Machine Learning | Spring 2026 | Lecture 8: Neural Networks 2 (Backprop)
1:02:13
2026-07-30
14
Stanford CS229 Machine Learning | Spring 2026 | Lecture 7: Neural Networks 1 (Architecture)
1:20:28
2026-07-30
15
Stanford CS229 Machine Learning | Spring 2026 | Lecture 6: Dataset Split, ML Advice
1:18:27
2026-07-30
16
Stanford CS229 Machine Learning | Spring 2026 | Lecture 5: Gaussian Discriminant Analysis
1:21:38
2026-07-30
17
Stanford CS229 Machine Learning | Spring 2026 | Lecture 4: Exponential Family, GLMs Classification
1:14:12
2026-07-29
18
Stanford CS229 Machine Learning | Spring 2026 | Lecture 3: Weighted Least Squares
1:02:14
2026-07-29
19
Stanford CS229 Machine Learning | Spring 2026 | Lecture 2: Supervised Learning Setup
1:18:10
2026-07-29
20
Stanford CS229 Machine Learning | Spring 2026 | Lecture 1: Introduction
36:59
2026-07-29
21
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | The GPU Economy
56:01
2026-07-23
22
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Economics of Generative AI
34:23
2026-07-17
23
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life Sciences
49:13
2026-07-17
24
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Infrasctructure, Enterprise AI, SaaS
39:09
2026-07-13
25
Live from Stanford Health AI Week
1:36:01
2026-07-09
26
Stanford Course - Technical Fundamentals of Generative AI
1:01
2026-07-01
27
Course Overview - Technical Fundamentals of Generative AI
1:28
2026-07-01
28
Stanford CS153 Frontier Systems | Building the Frontier Ecosystem
57:18
2026-06-29
29
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, Coding AI
49:22
2026-06-23
30
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Building AI Factories
49:48
2026-06-17
31
AI in Healthcare Series: Inside the Rise of AI in Healthcare, Open Evidence and Cyber Risks
38:47
2026-06-15
32
Stanford CS153 Frontier Systems | Scale, AGI, and the Future of Everything
41:10
2026-06-15
33
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, Applied AI
49:16
2026-06-05
34
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Guest Lecture: Dan Fu
1:11:41
2026-06-05
35
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 17: Alignment - Multimodality
1:17:40
2026-06-04
36
Stanford CS153 Frontier Systems | The Road Ahead: Resilience Required
1:05:19
2026-05-28
37
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 16: Post-Training - RLVR
1:15:51
2026-05-27
38
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 15: Mid/Post-Training
1:19:55
2026-05-27
39
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 12: Evaluation
1:18:34
2026-05-19
40
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 14: Data
1:24:46
2026-05-27
41
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 13: Data (Sources, Datasets)
1:22:02
2026-05-19
42
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Infrastructure, Capstone Case
46:06
2026-05-27
43
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Enterprise Internal Knowledge
48:10
2026-05-22
44
Stanford CS153 Frontier Systems | The Discipline of Delivering Value per Gigawatt
1:04:23
2026-05-27
45
Stanford CS153 Frontier Systems | The AI Native Company: How One Founder Becomes a 1000x Engineer
47:15
2026-05-20
46
Stanford CS153 Frontier Systems | Jensen Huang from NVIDIA on the Compute Behind Intelligence
1:08:24
2026-05-13
47
Stanford CS153 Frontier Systems | Scott Nolan from General Matter on Energy Bottlenecks
1:00:28
2026-05-12
48
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 10: Inference
1:25:30
2026-05-11
49
Stanford CS153 Frontier Systems | Ben Horowitz from a16z on Venture Capital Systems, Network Effects
1:06:18
2026-05-11
50
Stanford CS153 Frontier Systems | Nikhyl Singhal from Skip on Product Management in the AI Era
1:03:14
2026-05-07
51
Stanford CS153 Frontier Systems | Amit Jain from Luma AI on Unified Intelligence Systems
57:42
2026-05-06
52
Stanford Online AI Programs Top Questions: When and How to Enroll in Online AI Courses
1:14
2026-05-04
53
Stanford Online AI Programs Top Questions: Enrolling in Online Courses vs Self Study
1:27
2026-05-04
54
Stanford Online AI Programs Top Questions: What's the Learning Experience Like?
2:17
2026-05-04
55
Stanford Online AI Programs Top Questions: Ready to Start? Preparing for Success
1:57
2026-05-04
56
Stanford Online AI Programs Top Questions: Choosing Your AI Program and Getting Started
3:20
2026-05-04
57
Stanford Online AI Programs Top Questions: Graduate vs Professional - Which Is Right for You?
4:56
2026-05-04
58
Stanford CS153 Frontier Systems | Andreas Blattmann from Black Forest Labs on Visual Intelligence
1:01:14
2026-05-04
59
Stanford CS153 Frontier Systems | Mati Staniszewski from ElevenLabs on The Future of Voice Systems
1:06:26
2026-05-04
60
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 9: Scaling Laws
1:17:57
2026-04-30
61
Stanford CS153 Frontier Systems | Anjney Midha from AMP PBC on Frontier Systems
1:05:55
2026-04-30
62
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 8: Parallelism
1:20:11
2026-04-28
63
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 7: Parallelism
1:21:03
2026-04-28
64
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 6: Kernels, Triton, XLA
1:26:41
2026-04-28
65
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 5: GPUs, TPUs
1:18:39
2026-04-20
66
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 4: Attention Alternatives
1:26:21
2026-04-15
67
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 3: Architectures
1:29:14
2026-04-15
68
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 2: PyTorch (einops)
1:17:25
2026-04-14
69
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 1: Overview, Tokenization
1:19:22
2026-04-14
70
Course Overview: Mastering Difficult Conversations with AI
2:28
2026-02-05
71
Stanford Webinar - Human-Centered AI: Designing Systems People Trust
55:54
2026-02-02
72
Innovation for Growth and Sustainability in the Era of AI
56:18
2026-02-02
73
AI in Healthcare Series: You Can’t Delegate AI with Andy Slavitt
39:41
2026-01-29
74
Climate Innovation: Digital Technology for Sustainable Agriculture and Infrastructure Development
53:28
2025-12-17
75
AI and Climate: From Grids to Data Centers — AI Strategy & Innovation
38:40
2025-12-17
76
Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI
1:45:09
2025-12-17
77
Stanford CS230 | Autumn 2025 | Lecture 10: What’s Going On Inside My Model?
1:46:54
2025-12-15
78
Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG
1:49:54
2025-11-21
79
Be Nice to ChatGPT - Mehran Sahami, Professor and Chair, Computer Science Department
0:50
2025-10-07
80
AI in Healthcare Series: AI as Your Personal Health Partner
34:10
2025-11-25
81
It's Never Too Late to Learn to Code: Insights from Mehran Sahami
6:47
2025-11-17
82
Stanford Webinar - AI Safety
51:04
2025-11-13
83
Why Code Breaks - Mehran Sahami, Professor and Chair, Computer Science Department
0:59
2025-11-12
84
AI & Cybersecurity: Dan Boneh Interviews Nicolas Carlini
1:17:08
2025-10-22
85
AI & Cybersecurity: Neil Daswani Interviews Heather Adkins
1:05:02
2025-10-08
86
AI & Cybersecurity: Dan Boneh Interviews Sam Altman
39:07
2025-11-11
87
Ethical Dimensions of AI Tools - Mehran Sahami, Professor and Chair, Computer Science Department
1:11
2025-11-11
88
The Journey of Computer Science Education with Mehran Sahami
6:15
2025-11-10
89
Stanford CS230 | Autumn 2025 | Lecture 6: AI Project Strategy
1:15:18
2025-11-05
90
Stanford CS230 | Autumn 2025 | Lecture 5: Deep Reinforcement Learning
1:45:01
2025-10-31
91
Choosing Your Path: AI Professional Program Course Selection Guide
18:31
2025-11-10
92
Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models
1:47:17
2025-10-21
93
Stanford Global Alumni Webinar | August 2025 | AI Agent Simulation of Human Behavior
46:01
2025-10-17
94
AI in Healthcare Series: Tracking and Trusting AI in Medicine, Dr. Shantanu Nundy
33:49
2025-10-22
95
Stanford CS230 | Autumn 2025 | Lecture 3: Full Cycle of a DL project
1:07:05
2025-10-15
96
Stanford CS230 | Autumn 2025 | Lecture 2: Supervised, Self-Supervised, & Weakly Supervised Learning
1:39:48
2025-10-07
97
Stanford CS230 | Autumn 2025 | Lecture 1: Introduction to Deep Learning
1:00:17
2025-10-01
98
Stanford Webinar - From Pixels to Human Impact: Unlocking Real-World Value with Computer Vision
1:02:06
2025-09-30
99
Stanford Webinar - Building Human-Centered AI: From Reward Functions to Real Products
55:17
2025-10-01
100
Stanford Webinar - Building Human-Centered AI: From Reward Functions to Real Products
55:17
2025-09-30
101
Stanford CS229 I Machine Learning I Building Agents That Do the Work of Human Software Engineers
1:22:18
2025-09-24
102
Successful Startups Share This Trait - Michelle Pokrass, Post-Training Research Lead at OpenAI
0:37
2025-09-19
103
The Capabilities Overhang - Michelle Pokrass, Post-Training Research Lead at OpenAI #generativeai
0:23
2025-09-17
104
The Importance of Few-Shot Examples - Stanford Professor Chris Potts #generativeai #ai
1:09
2025-09-18
105
Move Forward Faster with Flexible Evals - Stanford Professor Chris Potts #generativeai #evals #ai
1:07
2025-09-22
106
Where Might AI Be Underused? - Stanford Professor Chris Potts #generativeai #ai
1:15
2025-09-16
107
The State of AI and Trust Among Business Leaders - Aditya Challapally, ML Engineer at Microsoft #ai
0:36
2025-09-15
108
Who Decides How Models Behave? - Aditya Challapally, ML Engineer at Microsoft #generativeai
0:23
2025-09-12
109
AI In Healthcare Series: Leveraging GPT-5, Cosmos, and Predictive Models for Better Outcomes
38:13
2025-09-23
110
Stanford Webinar - Ten Game-Changing Generative AI Uses for Clinical Research
55:09
2025-09-03
111
AI in Healthcare Series: Empowering Patients with Kimberly Powell, NVIDIA
44:34
2025-08-27
112
AI in Healthcare Series: Accelerating the AI Revolution in Medicine, with Peter Lee, Microsoft
50:01
2025-07-29
113
Stanford Webinar - Making GenAI Useful: Lessons from Research and Deployment
49:46
2025-07-16
114
AI in Healthcare Series: The Future of Personalized Healthcare Technology with Dr. Jessica Mega
37:59
2025-07-07
115
AI in Healthcare Series: AI, Longevity, and the Future of Healthcare, with Dr. Eric Topol
40:52
2025-05-28
116
Generative AI for Healthcare (Part 1): Demystifying Large Language Models
58:35
2025-04-30
117
AI in Healthcare Series: Navigating Medical Innovation, Dr. Amy Abernathy, Highlander Health
25:39
2025-04-28
118
Information Session: Artificial Intelligence Online Programs I March 2025
58:33
2025-04-16
119
AI in Healthcare Series: From Decision Support to Drug Prescriptions, Dr. Graham Walker, Kaiser
36:18
2025-03-27
120
AI in Healthcare Series: State of Gen AI in Healthcare, Troy Tazbaz Former Head Digital Health FDA
29:35
2025-02-25
121
Stanford Webinar - Agentic AI: A Progression of Language Model Usage
57:06
2025-02-05
122
Our learners share about their experience in the AI Professional Program
2:18
2025-01-16
123
Kuniaki Iwanami Shares His Experience in the AI Professional Program
1:22
2025-01-16
124
Beiliei Zhu Shares Her Experience in the AI Professional Program
1:09
2025-01-16
125
Stanford Webinar - Creating Fair, Useful, and Reliable AI in Healthcare
49:15
2024-12-11
126
Stanford AA228/CS238 Decision Making Under Uncertainty I Online Planning and Policy Search
1:20:59
2024-12-04
127
Stanford Webinar - Large Language Models Get the Hype, but Compound Systems Are the Future of AI
58:06
2024-12-03
128
Stanford CS329H: Machine Learning from Human Preferences I Guest Lecture: Joseph Jay Williams
1:10:41
2024-11-21
129
Stanford AA228/CS238 Decision Making Under Uncertainty I Policy Gradient Estimation & Optimization
45:47
2024-11-21
130
Generative AI Program: Technology, Business & Society
1:00
2024-11-05
131
Course Overview - Human-Centered Generative AI
1:26
2024-10-30
132
Business Opportunities and Applications of Generative AI
1:28
2024-10-30
133
Stanford Webinar - How AI is Changing Coding and Education, Andrew Ng & Mehran Sahami
53:59
2024-10-16
134
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
1:44:31
2024-08-27
135
Stanford Webinar - Identifying AI Opportunities: Strategies for Market Success
59:22
2024-08-26
136
Learn about Stanford's Online's Professional & Graduate AI Programs
2:47
2024-07-01
137
Stanford CS236: Deep Generative Models I 2023 I Lecture 1 - Introduction
57:28
2024-05-06
138
Stanford CS221 I Algorithms and Distribution I 2023
7:26
2024-03-12
139
Stanford CS221 I Encoding Human Values I 2023
14:36
2024-03-12
140
Stanford CS221 I The AI Alignment Problem: Reward Hacking & Negative Side Effects I 2023
11:34
2024-03-12
141
Stanford CS221 I Externalities and Dual-Use Technologies I 2023
8:26
2024-03-12
142
Stanford Professor Chris Manning: Ask About AI - Full Version
33:19
2023-12-20
143
Ask About AI: Professor Chris Manning on Explainability in AI Models
1:00
2023-12-05
144
Ask About AI: Professor Chris Manning on Foundation Models
1:00
2023-11-30
145
Artificial Intelligence Professional Program Overview
2:21
2023-11-29
146
Ask About AI: Professor Chris Manning on the Future of AI
4:41
2023-11-16
147
Ask About AI: Professor Chris Manning Answers AI-Generated Questions
3:30
2023-11-15
148
Ask About AI: Professor Chris Manning Answers Your AI Career Questions
2:40
2023-11-13
149
Stanford Webinar - How ChatGPT and Generative AI Will Shape the Future of Work
26:14
2023-05-19
150
Andrew Ng: Opportunities in AI - 2023
36:55
2023-08-29
151
Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 2023
1:13:52
2023-08-17
152
Stanford CS229 Machine Learning I Introduction I 2022 I Lecture 1
1:18:42
2023-08-01
153
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and Word Vectors
1:21:52
2019-03-11
154
Andrew Ng and Chris Manning Discuss Natural Language Processing
47:28
2023-06-07
155
What does the future hold for Natural Language Processing? - Andrew Ng & Chris Manning
1:00
2023-06-01
156
Stanford Webinar - Building Safe and Reliable Autonomous Systems
43:40
2023-05-31
157
What advice do you have for someone breaking in to AI? - Chris Manning & Andrew Ng
1:21
2023-05-30
158
Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability
28:07
2022-11-02
159
Stanford Seminar - Collaborating with GPT-4: Ken Kahn, Oxford
1:30:42
2023-05-27
160
Stanford Seminar - Applications of Generative Design for Fabrication in Healthcare Settings
41:05
2023-05-26
161
Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy
1:11:41
2023-05-19
162
What inspired you to study Natural Language Processing? - Chris Manning & Andrew Ng
1:00
2023-05-24
163
AI and Robotics - Chelsea Finn & Andrew Ng
33:19
2023-05-22
164
What does the future hold for AI and Robotics? - Chelsea Finn & Andrew Ng
0:56
2023-05-18
165
What inspired you to choose AI and Robotics as a profession? - Chelsea Finn & Andrew Ng
0:56
2023-05-15
166
What is it like working in an AI lab? - Chelsea Finn & Andrew Ng
1:16
2023-05-17
167
What is our ethical responsibility with AI & Machine Learning? - Fei-Fei Li & Andrew Ng
1:00
2023-05-12
168
Andrew Ng and Fei-Fei Li Discuss Human-Centered Artificial Intelligence - Stanford Online
41:43
2023-05-11
169
What advice do you have for getting started in AI & Machine Learning? - Fei-Fei Li & Andrew Ng
0:59
2023-05-10
170
Is a Career in AI and Machine Learning Right for Me? - Fei-Fei Li & Andrew Ng
2:04
2023-05-08
171
Stanford Seminar - Should We Pause Giant AI Experiments?
1:28:32
2023-04-28
172
Stanford Seminar - Bridging AI & HCI: Incorporating Human Values into the Development of AI Tech
1:00:57
2022-11-15
173
Stanford Webinar - The Frontier of Deep Learning for Robotics, Chelsea Finn
51:39
2023-03-31
174
Stanford Webinar - GPT-3 & Beyond
57:53
2023-01-31
175
Digital 101: Robotics, Drones, and Autonomous Vehicles
50:30
2022-02-23
176
Stanford Webinar - How Artificial Intelligence Can Improve Healthcare
53:55
2022-10-03
177
Stanford Webinar - Bringing AI into Healthcare Safely and Ethically
54:00
2021-02-25
178
Hear from our learners | Natural Language Understanding (XCS224U)
2:37
2022-08-18
179
Stanford Seminar - Machine Learning for Creativity, Interaction, and Inclusion
55:22
2018-05-07
180
Stanford Seminar - Overview of AI in Smart Physical Systems
1:05:22
2018-10-05
181
Stanford Webinar - Artificial Intelligence for Business Leaders
59:16
2022-08-02
182
Student Spotlight: Jaro Habr on completing the Machine Learning course in Coursera
1:59
2022-05-19
183
Stanford Webinar - Design & AI: Envisioning AI-augmented Products
56:26
2022-02-24
184
Stanford Webinar - Natural Language Understanding Student Project Showcase - Plus AI Program Q&A
1:02:53
2022-01-26
185
Stanford Webinar - Create a Better User Experience through AI, Michael Bernstein
57:56
2020-08-17
186
Stanford Webinar with Dan Boneh - Hacking AI: Security & Privacy of Machine Learning Models
58:16
2021-05-13
