In this talk, we aim to close the gap between the skill sets of DevOps practitioners and the growing demands of MLOps. Attendees will gain insights into essential MLOps components, including tools, development cycles, pipelines, monitoring, model management, validation, testing, and more—all contextualized through the lens of a DevOps professional.

Additionally, we'll provide a high-level introduction to foundational data science concepts, such as model training and evaluation. A live demo will showcase practical implementations using tools like Argo CD and Kubeflow pipelines, offering actionable insights to help you navigate this evolving field.