About the Workshop

The Forecasting Workshop is designed to build AI skills using classical and deep learning methods for forecasting.

  • 3 Days Online (Feb 21, 23, 27)
  • Three 2-hour Lectures (1pm - 3pm)
  • Two Assignments
  • One Capstone project
  • Certificate of Completion

Due to limited space, enrollment is not guaranteed, but we do encourage all interested registrants to apply.


Wednesday, February 15, 2023
Application deadline  
Tuesday, February 21, 2023
Lecture & Tutorial #1 - Univariate Forecasting1:00 PM - 3:00 PM 
Thursday, February 23, 2023
Lecture & Tutorial #2 - Multivariate Forecasting1:00 PM - 3:00 PM 
Monday, February 27, 2023
Lecture & Tutorial #3 - Spatiotemporal Forecasting1:00 PM - 3:00 PM 
Monday, March 6, 2023
Capstone due  
Time Zone: (UTC-05:00) Eastern Time (US & Canada) [Change Time Zone]

Expand skill set

  • Introduction to Forecasting Techniques
  • Classical / Univariate forecasting models (e.g., ARIMA, Prophet, N-BEATS, DeepAR)
  • Multivariate forecasting models (e.g., Gradient boosted trees, RNNs, N-HiTs, Transformers)
  • Spatiotemporal forecasting models (e.g., ConvLSTM, Google-MetNet-2, Neural Operators)

Prerequisite knowledge

  • Foundational Mathematics
  • Advanced Python programing
  • Model building experience using Pytorch and/or Tensorflow

Participant support

  • Three Tutorial Sessions
  • Online Support from the Teaching Team

For more details on the program, please contact learn@vectorinstitute.ai

This event is open to SMEs that have signed up for Vector’s Fastlane Program. It is also open to Vector Sponsors and invited partners with limited capacity. Any registration that is found not to be a SMEs that have signed up for Vector’s Fastlane Program, Vector Sponsor and invited partners will be asked to provide verification and, if unable to do so, will not be able to attend the event. Please contact events@vectorinstitute.ai with any questions.