Multi-Agent AI Systems for Java Developers with Spring AI
You’ve built an agent. Now build the system. Coordinate multiple agents on real business workflows like support, approvals, claims and fraud checks, in Spring Boot with Spring AI.
- 9 buildsone per pattern
- 1 capstoneloan and fraud system, deployed
- Spring AIall in Java and Spring Boot
- Early accessand launch pricing for the waitlist
Everything a multi-agent system needs in production.
Sometimes one agent is the better answer.
You will learn when a single agent is the cheaper, simpler choice, and how to justify the architecture to your team either way.
What you will walk away with.
- 019 hands-on builds, one per pattern
- 02A deployed loan and fraud processing system for your portfolio
- 03Approval gates, memory, MCP and A2A, in code
- 04Reusable evals, tracing and cost controls
- 05A decision framework for multi-agent design
- 06All in Java, Spring Boot and Spring AI
What you will build.
Nine builds, one per pattern, ending in a deployed capstone. The outline may change before launch.
- 01RouterRoute each request to the right specialist agent.
- 02SupervisorOne agent plans, others execute.
- 03PipelineChain agents step by step.
- 04Parallel agentsRun agents side by side.
- 05Evaluator loopCheck, score and retry agent output.
- 06Shared memoryLet agents work from the same context.
- 07Human approvalPut a person in the loop for risky actions.
- 08Distributed agentsA2A, then MCP.
- 09Capstone: loan and fraud processing systemDeployed, with observability.
Become an end-to-end agent architect.
The last step of the AI path.
- PHASE 2 · USE AIGen AI & Agentic AI: Build Real Agents with Claude & Copilot
- PHASE 2 · BUILD WITH AIAI-Powered Java Applications with Spring AI 2.0
- PHASE 2 · ARCHITECT AGENTS · YOU ARE HEREMulti-Agent AI Systems for Java Developers
- You are a Java and Spring Boot backend developer who knows single-agent basics
- You are a senior engineer or tech lead shipping AI workflows
- You are an architect evaluating multi-agent design for your stack
- You are new to LLM calls, tool calling and RAG. Start with AI-Powered Java Applications with Spring AI 2.0
- You want no-code agent tools

Built by EmbarkX.
EmbarkX is a career platform for software engineers. Every course is built around one real system and taken all the way to production, then kept current as the tools change.
160,000+ learners · 192 countries · 4.8 average learner ratingLed by Faisal Memon, Founder and CEOMicrosoft MVP · 13+ years building startups and global productsMore about EmbarkXQuestions
When does it launch?
The course is in development. Waitlist members hear first and get launch pricing.
What do I need before starting?
Working knowledge of Java and Spring Boot, plus familiarity with LLM calls, tool calling and RAG. New to these? Take AI-Powered Java Applications with Spring AI 2.0 first.
Which framework does it use?
Java, Spring Boot and Spring AI.
What does the waitlist get me?
Early access, launch pricing and course updates. No spam.
