GitOps for Machine Learning Pipelines

Explore how GitOps principles can be applied to Machine Learning pipelines in this informative conference talk. Learn about the core processes of an ML lifecycle and discover Kubeflow, an open-source project that simplifies Machine Learning on Kubernetes. Gain insights into leveraging GitOps for various ML processes, including training experiments, hyperparameter tuning, end-to-end pipelines, and training jobs. Understand how to deploy multiple Kubeflow components using Argo CD and implement GitOps practices for ML tasks. Conclude with a demonstration of deploying an end-to-end Kubeflow ML pipeline using GitOps techniques, equipping you with practical knowledge to enhance your ML workflows.

GitOps for Machine Learning Pipelines - Rishit Dagli, University of Toronto & Shivay Lamba