Explore how DataRobot's MLOps can accelerate deployment, monitor drift and accuracy, and ensure governance in machine learning model lifecycle management in this workshop session from MLOps World. Learn about automatic retraining, implementing challenger models in production, and deploying and monitoring models built outside of DataRobot. Gain insights from Asger Pedersen, ML Worldwide Technical Lead at DataRobot, as he shares best practices from DevOps applied to the growing field of MLOps, emphasizing AI and Machine Learning-specific capabilities for scaling in a standardized and governed manner.
Overview
Syllabus
Workshop Sessions: Closing the Production Gap with MLOps
Taught by
MLOps World: Machine Learning in Production
