Register for Foojay Webinar: "Java's Place in the AI Revolution"
EventsMachine Learning

Register for Foojay Webinar: "Java's Place in the AI Revolution"

This first online Foojay Webinar will highlight Java’s place in the AI Revolution, focusing on Exploring AI/ML Using Pure Java Tools.

AI and Machine Learning (ML) are becoming essential in modern software development. For Java developers, there’s no need to switch technology stacks. It’s now possible to build, train, and deploy ML models using tools available directly within the Java ecosystem.

This webinar focuses on practical predictive AI/ML approaches in pure Java. We’ll walk through key Java libraries, show how to structure and train models, and discuss how Java’s core strengths, ie, JVM performance, type safety, and enterprise integration, can be used to build scalable AI solutions.

If you’re a Java developer or architect interested in learning more about AI/ML with structured data, this session will show you how to do it efficiently using native Java tools.

Practical

  • Online streaming via YouTube
  • Date: Monday, April 28th 2025
  • Time:
    • 18:00 CET
    • 9AM Pacific Time

Please register here: https://forms.gle/p9wxXhcMDfBwCXsUA

Guests

Frank Greco, Senior AI/ML Consultant, Technology Strategist, Java Champion, Developer Ecosystem (Crossroads)

Zoran Sevarac, CEO of @Deep Netts, Full Professor at University of Belgrade, Java Champion, AI Consultant | Deep Learning Development Platform

Moderator

Pratik Patel, VP Developer Advocacy at Azul, Java Champion

Written by

Frank Delporte

Frank Delporte is a Java Champion, Java Developer, Senior Technical Writer at Azul, Blogger, Author of "Java Programming for Raspberry Pi - A Hands-On Guide to Electronics and IoT Projects", and Open-Source Contributor for Pi4J, Lottie4J, MelodyMatrix,... …

Written by

Pratik Patel

VP Developer Advocacy at Azul

Written by

Zoran Sevarac

Zoran is an artificial intelligence software developer, entrepreneur, Java Champion, and researcher. He's the creator of the popular and award winning educational Java open source neural network software Neuroph and the deep learning platform Deep Netts.