Java Developer? Time to add AI to your Stack.

Join the most comprehensive course on Spring AI Framework. Learn how to build intelligent applications with memory, logic, and integration with the world's most powerful models (Gemini, Claude, OpenAI, Llama).

What will we learn in the course?

LLM Model Connection

Seamless integration with OpenAI, Claude, Gemini, AWS Bedrock, and Ollama (local execution).

Vector Store & RAG

Supports RAG with Redis, PostgreSQL/ PG Vector, and MongoDB.

MCP Support

Allows building MCP (Model Context Protocol) server and clients easily.

Advance Patterns

Chat memory, tool/function calling and Advisors API for reusable AI logic.

Observability

Monitor AI operations with Actuator, Prometheus, Grafana and Jaeger.

Guardrails

Test and evaluates outputs to ensure reliability and avoid Hallucinations.

Who is this course for?

  • Spring Boot developers who want to stay relevant in the job market.
  • Software architects who need to implement AI solutions in the organization.
  • Backend developers who want to build AI products without learning new languages like Python.
Yuval

A Personal Note

"Hi, I'm Yuval, a development manager at Computrade. I'm building this course on the go, understanding that the market is thirsty for Java developers who know how to integrate AI in an Enterprise way. The course is accompanied by live code examples, real project, professional presentations, and access to the course GitHub."