Machine learning is becoming a must-have skill in today's world. But do Java developers know how an ML Ops platform works under the hood? Do they know the best practices for integrating ML models into their Java applications?
This session is your go-to guide for understanding how ML Ops works and the best practices for consuming it within the Java ecosystem. We'll explore how Kubeflow, a powerful ML platform, simplifies the entire machine learning lifecycle—from model training to serving at scale. You’ll also discover how Quarkus, the Kubernetes-native Java framework, can efficiently deploy these models, making them easy to consume within your Java applications.
Don’t miss this chance to elevate your Java skills and dive into the future of ML Ops. Join us and learn how to integrate machine learning into your Java projects with Kubeflow and Quarkus. Your journey to becoming a Java ML Ops expert starts here!