Artificial Intelligence
5.0
(1)
11 learners
What you'll learn
This course includes
- 90.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 137 lessons • 90.5 hours of video
Artificial Intelligence
137 lessons
• 90.5 hours
Artificial Intelligence
137 lessons
• 90.5 hours
- Stanford Webinar - Building Human-Centered AI: From Reward Functions to Real Products55:17
- Stanford Webinar - Identifying AI Opportunities: Strategies for Market Success59:22
- Stanford CS230 | Autumn 2025 | Lecture 1: Introduction to Deep Learning01:00:17
- Stanford CS230 | Autumn 2025 | Lecture 2: Supervised, Self-Supervised, & Weakly Supervised Learning01:39:48
- Stanford CS230 | Autumn 2025 | Lecture 3: Full Cycle of a DL project01:07:05
- Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models01:47:17
- Stanford CS230 | Autumn 2025 | Lecture 5: Deep Reinforcement Learning01:45:01
- Stanford CS230 | Autumn 2025 | Lecture 6: AI Project Strategy01:15:18
- Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG01:49:54
- Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI01:45:09
- Stanford CS230 | Autumn 2025 | Lecture 10: What’s Going On Inside My Model?01:46:54
- Stanford CS229 Machine Learning I Introduction I 2022 I Lecture 101:18:42
- Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)01:44:31
- Andrew Ng: Opportunities in AI - 202336:55
- Stanford Webinar - Large Language Models Get the Hype, but Compound Systems Are the Future of AI58:06
- Stanford CS153 Frontier Systems | Amit Jain from Luma AI on Unified Intelligence Systems57:42
- Stanford Online AI Programs Top Questions: When and How to Enroll in Online AI Courses01:14
- Stanford Online AI Programs Top Questions: Enrolling in Online Courses vs Self Study01:27
- Stanford Online AI Programs Top Questions: What's the Learning Experience Like?02:17
- Stanford Online AI Programs Top Questions: Ready to Start? Preparing for Success01:57
- Stanford Online AI Programs Top Questions: Choosing Your AI Program and Getting Started03:20
- Stanford Online AI Programs Top Questions: Graduate vs Professional - Which Is Right for You?04:56
- Stanford CS153 Frontier Systems | Andreas Blattmann from Black Forest Labs on Visual Intelligence01:01:14
- Stanford CS153 Frontier Systems | Mati Staniszewski from ElevenLabs on The Future of Voice Systems01:06:26
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 9: Scaling Laws01:17:57
- Stanford CS153 Frontier Systems | Anjney Midha from AMP PBC on Frontier Systems01:05:55
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 8: Parallelism01:20:11
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 7: Parallelism01:21:03
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 6: Kernels, Triton, XLA01:26:41
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 5: GPUs, TPUs01:18:39
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 4: Attention Alternatives01:26:21
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 3: Architectures01:29:14
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 2: PyTorch (einops)01:17:25
- Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 1: Overview, Tokenization01:19:22
- Course Overview: Mastering Difficult Conversations with AI02:28
- Stanford Webinar - Human-Centered AI: Designing Systems People Trust55:54
- Innovation for Growth and Sustainability in the Era of AI56:18
- AI in Healthcare Series: You Can’t Delegate AI with Andy Slavitt39:41
- Climate Innovation: Digital Technology for Sustainable Agriculture and Infrastructure Development53:28
- AI and Climate: From Grids to Data Centers — AI Strategy & Innovation38:40
- Be Nice to ChatGPT - Mehran Sahami, Professor and Chair, Computer Science Department00:50
- AI in Healthcare Series: AI as Your Personal Health Partner34:10
- It's Never Too Late to Learn to Code: Insights from Mehran Sahami06:47
- Stanford Webinar - AI Safety51:04
- Why Code Breaks - Mehran Sahami, Professor and Chair, Computer Science Department00:59
- AI & Cybersecurity: Dan Boneh Interviews Nicolas Carlini01:17:08
- AI & Cybersecurity: Neil Daswani Interviews Heather Adkins01:05:02
- AI & Cybersecurity: Dan Boneh Interviews Sam Altman39:07
- Ethical Dimensions of AI Tools - Mehran Sahami, Professor and Chair, Computer Science Department01:11
- The Journey of Computer Science Education with Mehran Sahami06:15
- Choosing Your Path: AI Professional Program Course Selection Guide18:31
- Stanford Global Alumni Webinar | August 2025 | AI Agent Simulation of Human Behavior46:01
- AI in Healthcare Series: Tracking and Trusting AI in Medicine, Dr. Shantanu Nundy33:49
- Stanford Webinar - From Pixels to Human Impact: Unlocking Real-World Value with Computer Vision01:02:06
- Stanford CS229 I Machine Learning I Building Agents That Do the Work of Human Software Engineers01:22:18
- Successful Startups Share This Trait - Michelle Pokrass, Post-Training Research Lead at OpenAI00:37
- The Capabilities Overhang - Michelle Pokrass, Post-Training Research Lead at OpenAI #generativeai00:23
- The Importance of Few-Shot Examples - Stanford Professor Chris Potts #generativeai #ai01:09
- Move Forward Faster with Flexible Evals - Stanford Professor Chris Potts #generativeai #evals #ai01:07
- Where Might AI Be Underused? - Stanford Professor Chris Potts #generativeai #ai01:15
- The State of AI and Trust Among Business Leaders - Aditya Challapally, ML Engineer at Microsoft #ai00:36
- Who Decides How Models Behave? - Aditya Challapally, ML Engineer at Microsoft #generativeai00:23
- AI In Healthcare Series: Leveraging GPT-5, Cosmos, and Predictive Models for Better Outcomes38:13
- Stanford Webinar - Ten Game-Changing Generative AI Uses for Clinical Research55:09
- AI in Healthcare Series: Empowering Patients with Kimberly Powell, NVIDIA44:34
- AI in Healthcare Series: Accelerating the AI Revolution in Medicine, with Peter Lee, Microsoft50:01
- Stanford Webinar - Making GenAI Useful: Lessons from Research and Deployment49:46
- AI in Healthcare Series: The Future of Personalized Healthcare Technology with Dr. Jessica Mega37:59
- AI in Healthcare Series: AI, Longevity, and the Future of Healthcare, with Dr. Eric Topol40:52
- Generative AI for Healthcare (Part 1): Demystifying Large Language Models58:35
- AI in Healthcare Series: Navigating Medical Innovation, Dr. Amy Abernathy, Highlander Health25:39
- Information Session: Artificial Intelligence Online Programs I March 202558:33
- AI in Healthcare Series: From Decision Support to Drug Prescriptions, Dr. Graham Walker, Kaiser36:18
- AI in Healthcare Series: State of Gen AI in Healthcare, Troy Tazbaz Former Head Digital Health FDA29:35
- Stanford Webinar - Agentic AI: A Progression of Language Model Usage57:06
- Our learners share about their experience in the AI Professional Program02:18
- Kuniaki Iwanami Shares His Experience in the AI Professional Program01:22
- Beiliei Zhu Shares Her Experience in the AI Professional Program01:09
- Stanford Webinar - Creating Fair, Useful, and Reliable AI in Healthcare49:15
- Stanford AA228/CS238 Decision Making Under Uncertainty I Online Planning and Policy Search01:20:59
- Stanford CS329H: Machine Learning from Human Preferences I Guest Lecture: Joseph Jay Williams01:10:41
- Stanford AA228/CS238 Decision Making Under Uncertainty I Policy Gradient Estimation & Optimization45:47
- Generative AI Program: Technology, Business & Society01:00
- Course Overview - Human-Centered Generative AI01:26
- Course Overview - Business Opportunities and Applications of Generative AI01:28
- Course Overview - Technical Fundamentals of Generative AI01:23
- Stanford Webinar - How AI is Changing Coding and Education, Andrew Ng & Mehran Sahami53:59
- Short Program Overview - Generative AI: Technology, Business & Society01:01
- Program Overview - Generative AI: Technology, Business & Society02:05
- Learn about Stanford's Online's Professional & Graduate AI Programs02:47
- Stanford CS236: Deep Generative Models I 2023 I Lecture 1 - Introduction57:28
- Stanford CS221 I Algorithms and Distribution I 202307:26
- Stanford CS221 I Encoding Human Values I 202314:36
- Stanford CS221 I The AI Alignment Problem: Reward Hacking & Negative Side Effects I 202311:34
- Stanford CS221 I Externalities and Dual-Use Technologies I 202308:26
- Stanford Professor Chris Manning: Ask About AI - Full Version33:19
- Ask About AI: Professor Chris Manning on Explainability in AI Models01:00
- Ask About AI: Professor Chris Manning on Foundation Models01:00
- Artificial Intelligence Professional Program Overview02:21
- Ask About AI: Professor Chris Manning on the Future of AI04:41
- Ask About AI: Professor Chris Manning Answers AI-Generated Questions03:30
- Ask About AI: Professor Chris Manning Answers Your AI Career Questions02:40
- Stanford Webinar - How ChatGPT and Generative AI Will Shape the Future of Work26:14
- Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 202301:13:52
- Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and Word Vectors01:21:52
- Andrew Ng and Chris Manning Discuss Natural Language Processing47:28
- What does the future hold for Natural Language Processing? - Andrew Ng & Chris Manning01:00
- Stanford Webinar - Building Safe and Reliable Autonomous Systems43:40
- What advice do you have for someone breaking in to AI? - Chris Manning & Andrew Ng01:21
- Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability28:07
- Stanford Seminar - Collaborating with GPT-4: Ken Kahn, Oxford01:30:42
- Stanford Seminar - Applications of Generative Design for Fabrication in Healthcare Settings41:05
- Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy01:11:41
- What inspired you to study Natural Language Processing? - Chris Manning & Andrew Ng01:00
- AI and Robotics - Chelsea Finn & Andrew Ng33:19
- What does the future hold for AI and Robotics? - Chelsea Finn & Andrew Ng00:56
- What inspired you to choose AI and Robotics as a profession? - Chelsea Finn & Andrew Ng00:56
- What is it like working in an AI lab? - Chelsea Finn & Andrew Ng01:16
- What is our ethical responsibility with AI & Machine Learning? - Fei-Fei Li & Andrew Ng01:00
- Andrew Ng and Fei-Fei Li Discuss Human-Centered Artificial Intelligence - Stanford Online41:43
- What advice do you have for getting started in AI & Machine Learning? - Fei-Fei Li & Andrew Ng00:59
- Is a Career in AI and Machine Learning Right for Me? - Fei-Fei Li & Andrew Ng02:04
- Stanford Seminar - Should We Pause Giant AI Experiments?01:28:32
- Stanford Seminar - Bridging AI & HCI: Incorporating Human Values into the Development of AI Tech01:00:57
- Stanford Webinar - The Frontier of Deep Learning for Robotics, Chelsea Finn51:39
- Stanford Webinar - GPT-3 & Beyond57:53
- Stanford Webinar - How Artificial Intelligence Can Improve Healthcare53:55
- Stanford Webinar - Bringing AI into Healthcare Safely and Ethically54:00
- Hear from our learners | Natural Language Understanding (XCS224U)02:37
- Stanford Seminar - Machine Learning for Creativity, Interaction, and Inclusion55:22
- Stanford Seminar - Overview of AI in Smart Physical Systems01:05:22
- Stanford Webinar - Artificial Intelligence for Business Leaders59:16
- Student Spotlight: Jaro Habr on completing the Machine Learning course in Coursera01:59
- Stanford Webinar - Design & AI: Envisioning AI-augmented Products56:26
- Stanford Webinar - Natural Language Understanding Student Project Showcase - Plus AI Program Q&A01:02:53
- Stanford Webinar - Create a Better User Experience through AI, Michael Bernstein57:56
- Stanford Webinar with Dan Boneh - Hacking AI: Security & Privacy of Machine Learning Models58:16
