Join us for a comprehensive and exclusive 2-hour webinar on MLOps using Python. This insightful webinar covers everything from essential concepts of MLOps, Python's role in MLOps, setting up the environment, to the implementation of MLOps with Python and a demo of how a typical MLOps Pipeline looks like.
Agenda for the session
- Essential concepts of MLOps
- Python's role in MLOps
- Implementation of MLOps with Python
- MLOps Pipeline
About Speakers
Mr. Davood Wadi
Artificial Intelligence Researcher, HEC Montréal
Davood Wadi is an Artificial Intelligence researcher and Ph.D. scholar at HEC Montreal, one of the world’s prestigious institutions. His interest in applying modern technologies to data sparked his tenure as a financial analyst, where he started incorporating mathematical methods into mass psychology to understand investment patterns. Davood’s expertise and interest include developing new algorithms for AI and ML applications, computer vision, NLP, Meta-Learning, and Consumer neuroscience.
