What happens when Java meets AI in a Kubernetes-native world? This workshop introduces you to building high-performance, container-ready applications using Java and Langchain4j to integrate modern AI capabilities.
Explore how Java’s robust ecosystem is evolving to meet the demands of Kubernetes-native development. You’ll gain practical insights into designing, deploying, and scaling cloud-native Java applications while smoothly incorporating AI features like data enrichment and conversational interfaces into Kubernetes environments.
Through hands-on exercises and live coding, you’ll learn essential techniques for creating resilient and intelligent Java applications. We’ll demonstrate how to easily integrate AI with Java while maintaining its versatility in containerized ecosystems.
Join us to learn how to use the power of Java for Kubernetes-native development and take your applications to the next level with lightweight AI capabilities.
Key Takeaways
1 Master strategies for deploying, scaling, and maintaining Java applications in Kubernetes environments.
2 Discover tools and techniques for simplifying cloud-native development.
3 Hands-on implementation of AI integration in Java using Langchain4j.
4 Use AI to enrich application data for real-world use cases.
