Start the Machine Learning Lifecycle with MLOps - Learn Live

Explore best practices for creating and managing machine learning models using MLOps processes in this informative one-hour session. Discover the different steps of the machine learning lifecycle and learn how to effectively collaborate between data scientists, ML engineers, software developers, and IT teams to manage the end-to-end ML lifecycle. Gain insights into creating and managing machine learning models using MLOps processes, and understand how to monitor models and respond to incidents. Participate in this live session, where expert presenters Cassie Breviu, David Glover, David Smith, and Korey Stegared-Pace address questions in real-time. Access additional resources to deepen your understanding of MLOps and its implementation in the machine learning lifecycle.

Learn Live: Start the machine learning lifecycle with MLOps | CLL99