Overview
This course teaches learners how to implement MLOps practices to ensure machine learning models perform effectively and reliably. Participants will learn about monitoring, debugging, and maintaining models to prevent issues. The course covers tools and techniques for managing machine learning models in production. The teaching method includes practical examples and case studies. This course is designed for data scientists, machine learning engineers, and AI professionals looking to enhance their skills in deploying and managing machine learning models.
Syllabus
MLOps: Keeping models from misbehaving like angry teenagers By Cedric De Haes, Bert Gossey
Taught by
Devoxx