Introduction to Machine Learning Engineering for Production (MLOps)

Thursday 18 July, 10:00 - 10:45

Gain an overview of the machine learning operations (MLOps) life cycle, processes, and capabilities. Understand concrete details about running a continuous training pipeline, deploying a model, and monitoring predictive performance of ML models.

In this session, you will learn:

-The MLOps life cycle and important processes and capabilities for successful ML-based systems
-Orchestrating and automating the execution of continuous training pipelines
-Model deployment and prediction serving
-Dataset and feature management
-Model management and governance

Join me for an insightful exploration into building ML-enabled systems, gaining a holistic understanding of the MLOps lifecycle.
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