MIT 6.622 Power Electronics, Spring 2023
Instructor: David Perreault

View the complete course (or resource): https://ocw.mit.edu/courses/6-....622-power-electronic
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The primary function of power electronic circuits is the processing and control of electrical energy. This class discusses the history, evolution, needs, and goals of power electronics.

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MIT 3.020 Thermodynamics of Materials, Spring 2021
Instructor: Rafael Jaramillo

View the complete course: https://ocw.mit.edu/courses/3-....020-thermodynamics-o
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This first class session introduces entropy and spontaneous processes, molecular interactions, and enthalpy, as well as the scope and use of thermodynamics.

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MIT 8.04 Quantum Physics I, Spring 2013
View the complete course: http://ocw.mit.edu/8-04S13
Instructor: Allan Adams

In this lecture, Prof. Adams begins with a round of multiple choice questions. He then moves on to introduce the concept of expectation values and motivate the fact that momentum is given by a differential operator with Noether's theorem.

License: Creative Commons BY-NC-SA
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MIT 7.016 Introductory Biology, Fall 2018
Instructor: Barbara Imperiali
View the complete course: https://ocw.mit.edu/7-016F18
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Professor Imperiali covers the basics of covalent and non-covalent chemical bonding. She then focuses on lipids, their structures and properties, and the formation of lipid bilayers.

License: Creative Commons BY-NC-SA
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MIT 6.622 Power Electronics, Spring 2023
Instructor: David Perreault

View the complete course (or resource): https://ocw.mit.edu/courses/6-....622-power-electronic
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this lecture, we first review linear vs. switching regulators. We then introduce definitions and methods for analyzing switching circuits, including the Method of Assumed States and Periodic Steady State.

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MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024
Instructor: Ankur Moitra
View the complete course: https://ocw.mit.edu/courses/18....-200-principles-of-d
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

We first describe the mechanics of the course. We then discuss the pigeonhole principle, explaining what it is and giving several surprising applications of it. The we briefly discuss foundations of probability and sample spaces.

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

October 14, 2025
This lecture covers adversarial robustness and generative models.

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

To follow along with the course schedule and syllabus, visit: https://cs230.stanford.edu/syllabus/

More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

November 18, 2025
This lecture covers career advice and a guest speaker.

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/

View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Guest Speaker
Laurence Moroney
Best-selling AI author and award-winning researcher

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

Sam Altman, President of Y Combinator, and Dustin Moskovitz, Cofounder of Facebook and Asana, kick off the How to Start a Startup Course. Dustin discusses Why to Start a Startup and Sam introduces the 4 key components of Starting a Startup: Idea, Product, Team and Execution.
http://www.slideshare.net/Stev....enPham7/lecture-1-ho

Explore Stanford Online courses: https://online.stanford.edu/explore

Learn about Stanford's online artificial intelligence professional and graduate programs:
https://stanford.io/3CDAIOV

Stanford Online Graduate and Professional AI programs provide the foundational and advanced skills you need to accelerate your career in AI, including machine learning, reinforcement learning, neural networks, and natural language processing and understanding. Learn about the differences between the programs in this video.

#artificialintelligence #machinelearning #deeplearning #reinforcementlearning #neuralnetworks #naturallanguageprocessing

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

October 17, 2025
This lecture covers:
• Pretraining
• Quantization
• Hardware optimization
• Supervised finetuning (SFT)
• Parameter-efficient finetuning (LoRA)

To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:07:19 Pretraining
00:13:26 FLOPs, FLOPS
00:16:34 Scaling laws, Chinchilla law
00:24:49 Training optimizations overview
00:31:09 Data parallelism with ZeRO
00:35:51 Model parallelism
00:38:26 Flash Attention
00:52:37 Quantization
00:56:00 Mixed precision training
01:02:31 Supervised finetuning
01:09:21 Instruction tuning
01:37:53 Parameter-efficient finetuning with LoRA
01:45:16 QLoRA

Afshine Amidi is an Adjunct Lecturer at Stanford University.

Shervine Amidi is an Adjunct Lecturer at Stanford University.

View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

November 14, 2025
This lecture covers:
• Retrieval-augmented generation
• Advanced RAG techniques
• Function calling
• Agents
• ReAct framework

To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:06:38 RAG overview
00:27:39 Similarity search with SBERT and bi-encoders
00:34:25 Heuristic search with BM25
00:37:54 HyDE and contextual retrieval
00:41:00 Prompt caching
00:45:24 Re-ranking with cross-encoders
00:47:49 Retrieval evaluation with NDCG, MRR
00:59:28 Tool calling
01:26:22 Tool selection
01:29:17 Model Context Protocol (MCP)
01:31:56 Agents with ReAct
01:42:16 Safety and closing thoughts

Afshine Amidi is an Adjunct Lecturer at Stanford University.

Shervine Amidi is an Adjunct Lecturer at Stanford University.

View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

In an effort to spread knowledge and promote life-long learning, Stanford University has put extensive efforts into offering free online courses available to anyone, anywhere.

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

August 7, 2025

Guest Lecture:
Gabor Angeli
AI Research Engineer, Resolve AI

Bharat Khandelwal
AI Research Engineer, Resolve AI

Spiros Xanthos
Founder & CEO, Resolve AI

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

December 5, 2025
This lecture covers:
• Recap
• Trending topics
• Closing thoughts

To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:01:12 Transformer
00:06:35 Transformer-based models & tricks
00:11:17 Large Language Models
00:15:05 LLM training
00:24:09 LLM tuning
00:29:41 LLM reasoning
00:38:37 Agentic LLMs (RAG, tool calling)
00:44:09 LLM evaluation
00:48:57 Vision Transformer
01:04:02 Diffusion-based LLMs
01:23:38 Closing thoughts
01:50:16 Thank you!

Afshine Amidi is an Adjunct Lecturer at Stanford University.

Shervine Amidi is an Adjunct Lecturer at Stanford University.

View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

February 6, 2026
This lecture covers:
• A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning
• An introduction to and evaluation of FeedbackWriter
• How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation

To follow along with the seminar schedule, visit: https://hci.stanford.edu/

Xu Wang is an Assistant Professor in Computer Science and Engineering and the School of Information (By courtesy) at the University of Michigan.