fullscreen background
Skip to main content

Winter Quarter

Winter Catalogues
Now Available
Registration Opens Nov 30
shopping cart icon0

Courses

« Back to Professional & Personal Development

SCI 52 — Artificial Intelligence: Deep Learning, Human-Centered AI, and Beyond

Quarter: Winter
Day(s): Wednesdays
Course Format: Live Online (About Formats)
Duration: 9 weeks
Date(s): Jan 13—Mar 10
Time: 7:00—9:00 pm (PT)
Drop Deadline: Jan 15
Unit: 1
Tuition: $520
Instructor(s): Ronjon Nag
Status: Registration opens Nov 30, 8:30 am (PT)
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Winter
Live Online(About Formats)
Wednesdays
7:00—9:00 pm (PT)
Date(s)
Jan 13—Mar 10
9 weeks
Drop By
Jan 15
1 Unit
Fees
$520
Instructor(s):
Ronjon Nag
Registration opens Nov 30, 8:30 am (PT)
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Artificial intelligence (AI) is inspired by our understanding of how the human brain learns and processes information and has given rise to powerful techniques known as neural networks and deep learning. This course will provide an introductory overview of these AI techniques. Additionally, we will inspect what is beyond deep learning and implications to society as humans participate in a human-centered AI world. Through hands-on exercises, we will discover how current AI platforms compare with how the brain works, how systems actually “learn,” and how to build and apply neural networks. We will also discuss the real-world applications of neural networks. By the end of the course, students will have a greater understanding of neural networks and deep learning so they can: (1) converse with neural network practitioners and companies; (2) be able to critically evaluate AI news stories and technologies; and (3) consider what the future of AI can hold and what barriers need to be overcome.

This introductory course is open to students of all levels. No computer science or programming experience is needed, but an understanding of simple algebra is expected.

Ronjon Nag, Former Fellow, Stanford Distinguished Careers Institute and Stanford Center for the Study of Language and Information; Founder and Managing Partner, R42 Group

Ronjon Nag has invented and deployed artificial intelligence systems for over three decades. He received a PhD in engineering from Cambridge, an MS from MIT, and the IET Mountbatten Medal at the Royal Institution. Nag was a Harkness Fellow at Stanford. Companies he has co-founded or advised have been sold to Motorola, BlackBerry, and Apple.

Textbooks for this course:

(Required) Tariq Rashid, Make Your Own Neural Network (ISBN 978-1530826605)
DOWNLOAD THE PRELIMINARY SYLLABUS » (subject to change)