Spring Boot + AI: Build Intelligent APIs Fast | Practical Guide

Spring Boot + AI — Build intelligent Java APIs fast.
In this video I show how to add AI features to a Spring Boot backend — from model inference to REST endpoints and deployment. This is a practical, hands-on guide for Java developers and backend engineers.

What you’ll learn

How to integrate a machine learning model (ONNX/TensorFlow/PyTorch) with Spring Boot.

Design patterns for AI endpoints (predict, batch, async).

Lightweight model serving options (embedded vs external).

How to secure and monitor AI APIs (rate limits, logging, metrics).

Quick demo: request → inference → response (full end-to-end).

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