Artificial Intelligence: Crafting Brains for Machines

STEM (Science, Technology, Engineering, Mathematics)

Grades: 9-11

• 10:00 am Eastern Time (New York Time)

Humans are experts at recognizing objects: letters, voices, numbers, people, animals and much more. Artificial Intelligence allows machines to think like humans and recognize objects too. In this course we will cover the theory and practice of artificial intelligence from scratch. Students will be free to work on activities that teach them how to make their computer recognize music, cancer genes, or the path a self-driving car must safely follow, among other possibilities. Following this course, students will: be able to identify applications of artificial intelligence in everyday life; be able to describe what it means for machines to “learn” from data; be mathematically proficient in artificial neural networks. To participate, students should have a basic understanding of differential calculus and computer programming. After this course, students will be able to use their knowledge to apply an artificial intelligence algorithm to a new problem.

Students without programming background should at least watch this YouTube playlist and know how to complete all the exercises and problems. 

Iran R. Roman

Iran R. Roman

PhD(c) Stanford University

Iran is a Ph.D. candidate at Stanford University studying artificial intelligence. He uses artificial intelligence to teach computers how to listen to music like humans do. At Stanford, Iran is a member of the Center for Computer Research in Music and Acoustics, and his PhD research has been funded by the Stanford Human-Centered Artificial Intelligence Initiative. Parallel to his Ph.D. studies, Iran has used his knowledge of artificial intelligence to develop artificial intelligence for companies like Tesla, Apple, and Plantronics, among others. Iran came to the USA at the age of 19 to pursue undergraduate studies in biology and music theory at the University of North Texas.

Program Calendar:
January 11-22, 2021
(Monday – Friday)
Real-Time Classes Duration:
1 hour & 45 minutes long
(with a 15-minute break).
Max Class Group:
Small class size
(20 students max)

Grades 9-11

For grade 9 students all course options are available.





Apply today to guarantee your spot
Register Now