Do you want your ad here?

Contact us to get your ad seen by thousands of users every day!

[email protected]

Register for Foojay Webinar: “Java’s Place in the AI Revolution”

  • April 09, 2025
  • 2555 Unique Views
  • < 1 min read
Table of Contents

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

Foojay Podcast #29: How will AI and ML Influence the Role of Developers?

Every conference has several talks about these technologies, and on Foojay, you can find multiple posts about it. Let’s take a look at it from the Java point of view.

Getting Started with Deep Learning in Java Using Deep Netts

Learn how to make it easy to quickly start using deep learning and to integrate deep learning into existing Java applications.

Getting Started with Deep Learning in Java Using Deep Netts (Part 2)

For more complex deep learning challenges, more data, and need better performance, take a look at Deep Netts Professional Edition.

Visual Recognition for Chess with Deep Learning in Java on Android

Deep Netts is a lightweight Java-native library, easy to learn, and solves many technical challenges related to ML.

Quick Start with Machine Learning in Java

So you’re a Java developer and you want to do some machine learning.

Do you want your ad here?

Contact us to get your ad seen by thousands of users every day!

[email protected]

Comments (0)

Highlight your code snippets using [code lang="language name"] shortcode. Just insert your code between opening and closing tag: [code lang="java"] code [/code]. Or specify another language.

No comments yet. Be the first.

Mastodon

Subscribe to foojay updates:

https://foojay.io/feed/
Copied to the clipboard