Deep Learning Certificate Part I

Part I of the Certificate in Deep Learning, taught by Distinguished Scholar Jeremy Howard, aims to make deep learning accessible to the widest capable audience. The goal of this seven-week, 100% in-person program is to provide a rich understanding of the foundations, applications, and future directions of deep learning. This knowledge will allow participants to build new deep learning models, apply and fine-tune pre-trained models, and develop, implement, and test new algorithms and architectures.

Suggested prerequisites or prior experience include one of the following:

  • 1+ years working in a coding-based position
  • 2+ years studying computer science at the university level
  • completion of a data science or programming boot camp plus 6+ months work experience
  • significant open source coding experience for 1+ years

Familiarity with:

  • Linear Algebra: matrix product, matrix inverse, orthogonal matrices
  • Calculus: basic differentiation and the chain rule
Details
Start Date Oct 22
Schedule 6:30-9 p.m.
on
Mon Oct 22
Tue Oct 30
Thu Nov 8
Tue Nov 13
Mon Nov 19
Tue Nov 27
Thu Dec 6
Location 101 Howard St.
San Francisco, CA
Instructor Jeremy Howard
Continuing Education Units 1.5
Cost $2,000
$1,500 for USF current students and alumni