Episode Details
EPISODE INFO
- Released
- November 5, 2025
- Duration
- 1h 15m
- Channel
- Stanford Online
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai October 28, 2025 This lecture provides walkthroughs of examples of AI projects and making day-to-day decisions in building AI systems. To learn more about enrolling in this course, visit: https://online.stanford.edu/courses/cs230-deep-learning 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/playlist?list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X NOTE: There was no class on November 4, 2025 (Lecture 7). The next lecture is Lecture 8. 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
SPEAKERS
Andrew Ng
hostAI researcher and educator; lead instructor associated with Stanford’s CS230 on deep learning.
EPISODE SUMMARY
In this episode of Stanford Online, featuring Andrew Ng, Stanford CS230 | Autumn 2025 | Lecture 6: AI Project Strategy explores andrew Ng on speeding AI builds through disciplined error analysis loops Ng argues that team productivity in AI is dominated by iteration speed and decision quality, often creating 10× differences between teams building similar systems.
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