Spring AI + MCP: Build Distributed AI Systems with Java
Course Overview
What You'll Learn
- Multiple Spring Boot microservices
- A PostgreSQL database with schema-per-service isolation
- A naive AI assistant with manual orchestration
- An MCP-based AI assistant with dynamic tool discovery
- Distributed AI workflows across multiple services
About This Free Course
Modern AI systems are no longer simple chatbots.
Real-world applications require AI assistants that can interact with backend services, execute actions, retrieve data, and coordinate workflows across distributed systems.
In this course, you will learn how to build these systems using Spring AI and learn model context protocol mcp for devs hands on for beginners (MCP).
Instead of toy examples, you will implement a complete distributed AI architecture built with Spring Boot microservices. The course is based on a realistic enterprise system called NexaCorp, where an AI assistant interacts with services such as HR, deployment management, notifications, and ticket management.
Includes free 90-day access to IntelliJ IDEA Ultimate for a professional development experience.
What you will build
During this course you will build a production-style AI system that includes:
Multiple Spring Boot microservices
A PostgreSQL database with schema-per-service isolation
A naive AI assistant with manual orchestration
An MCP-based AI assistant with dynamic tool discovery
Distributed AI workflows across multiple services
You will see how an AI assistant can coordinate operations like:
Applying employee leave
Finding a replacement engineer
Reassigning deployments
Triggering notifications across services
Course implementation highlights
This course is fully hands-on and covers:
Enterprise backend setup
Build multiple Spring Boot microservices
Use PostgreSQL with schema-per-service architecture
Manage schema and seed data using Flyway
Verify service isolation and inter-service communication
Naive AI orchestration
Build an AI assistant using Spring AI
Extract structured intent from natural language
Implement manual orchestration using REST APIs
Understand the limitations of hardcoded AI workflows
Model Context Protocol (MCP)
Understand MCP architecture and JSON-RPC communication
Convert microservices into MCP tool providers
Expose domain capabilities using Spring AI MCP server
Inspect tool schemas generated automatically
MCP-based AI assistant
Build an MCP client assistant using Spring AI
Enable dynamic tool discovery across services
Allow the LLM to plan and execute workflows
Remove orchestration logic from application code
Debugging and runtime analysis
Inspect MCP logs and tool execution flows
Understand JSON-RPC tool interactions
Handle tool errors and partial workflow execution
Extend the system with new MCP tool providers
Advanced MCP capabilities
The course also explores additional MCP features including:
Prompts capability for reusable reasoning instructions
Resources capability for structured artifacts
Completions capability and when it is used
Stateless vs streaming MCP transport models
Technologies used
Java
Spring Boot
Spring AI
Model Context Protocol (MCP)
PostgreSQL
Flyway
Gradle
Docker
Who Should Take This Course
"Spring AI + MCP: Build Distributed AI Systems with Java" is aimed at people who want a practical, structured introduction to udemy without paying full price for it. It's a solid fit if you're starting out in udemy and want a guided course rather than piecing tutorials together yourself, if you've tried free YouTube content on the topic and want something more organized, or if you already work in a related area and want a refresher you can finish at your own pace. Since enrollment happens on Udemy itself, you keep full access to view the lectures, download any provided resources, and revisit the material later — this isn't a stripped-down or time-limited version of the course.
Why This Course Is Worth Taking
Our take: this listing earns a spot on FreeWebCart because the coupon we verified actually brings the price to $0, not just a token discount, and the course carries a 4.79/5 rating on Udemy. That combination — real reviews plus a working 100% OFF code — is what we look for before publishing a udemy course. It won't replace hands-on experience or a full degree program, but as a low-risk way to test whether udemy is worth pursuing further, or to pick up one specific skill, the free price tag makes it an easy yes while the coupon lasts.
Pros & Cons
👍 Pros
- 100% free to enroll via this coupon (normally $49.99)
- Lifetime access on Udemy once enrolled, even after the coupon expires
- Rated 4.79/5 by past students on Udemy
- Self-paced — no fixed schedule or live sessions to attend
👎 Cons
- Coupon is time-limited and can expire before you enroll
- No live instructor support — questions go through Udemy's Q&A, not us
- Certificate is a Udemy completion certificate, not an accredited qualification
Frequently Asked Questions
Is "Spring AI + MCP: Build Distributed AI Systems with Java" really free?
Yes — we verified a 100% OFF Udemy coupon for this udemy course before publishing it. Enroll directly on Udemy using the button below; no credit card is needed while the coupon is active.
How long will this coupon last?
Udemy coupons typically last 1–3 days or expire after roughly 1,000 enrollments, whichever comes first. If the price on Udemy no longer shows $0 when you click through, the coupon has expired since we last checked it.
Do I keep access after the coupon expires?
Yes. Once you enroll while the coupon is live, "Spring AI + MCP: Build Distributed AI Systems with Java" is yours to keep on Udemy — including any future updates the instructor makes — even after the coupon runs out.
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