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Backend Engineering Track

Production GenAI with Java and Spring AI

Turn Spring engineering skills into production AI systems with typed model boundaries, authorized RAG, guarded tools, MCP, observability, evaluation, resilience, security, and release evidence.

Intermediate to advanced · Java applications
About 185 min reading
45 authored sections

Before you start: Java 21, Spring Boot, HTTP APIs, Maven, and Docker.

Plan for 12–16 hours of hands-on work in addition to reading. This is an initial estimate; setup and extensions vary.

Open before purchase

A useful preview, not a teaser

Read these complete sections to judge the technical depth, teaching style, and architecture standard before buying.

Preview 1

Course Contract: From Spring Developer to AI System Owner

This is a production engineering course, not a tour of annotations.

Preview 2

Mental Model: The Model Lives Inside a Governed Request Pipeline

The shortest path to production judgment is to stop drawing the model as the whole application.

Preview 3

Production Spring AI Reference Architecture

One Spring Boot service can begin the journey, but its responsibilities must already be visible.

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Complete curriculum

45 sections · 4 parts + engineering studio

Course orientation

  1. Course ContractFree

Part 1 · Java and Spring AI Foundations

  1. Spring AI 2.0 BaselineCourse Pass
  2. Production Mental ModelFree
  3. First RequestCourse Pass
  4. Configuration and SecretsCourse Pass
  5. ChatClientCourse Pass
  6. Model API BoundariesCourse Pass
  7. Sync and StreamingCourse Pass
  8. Structured OutputCourse Pass
  9. Error ContractCourse Pass

Part 2 · Build the Application

  1. Reference ArchitectureFree
  2. Project StructureCourse Pass
  3. Advisor ChainCourse Pass
  4. Prompt EngineeringCourse Pass
  5. RAG and Enterprise DataCourse Pass
  6. Ingestion and ETLCourse Pass
  7. Retrieval PolicyCourse Pass
  8. Citations and AbstentionCourse Pass
  9. Memory and StateCourse Pass
  10. Tool CallingCourse Pass
  11. Tool SecurityCourse Pass
  12. MCP IntegrationCourse Pass
  13. Multimodal InputsCourse Pass
  14. Workflow BoundariesCourse Pass

Part 3 · Operate in Production

  1. ObservabilityCourse Pass
  2. Privacy and TelemetryCourse Pass
  3. ResilienceCourse Pass
  4. Model RoutingCourse Pass
  5. Capacity and CostCourse Pass
  6. Testing StrategyCourse Pass
  7. Evaluation and ReleaseCourse Pass
  8. SecurityCourse Pass
  9. Data LifecycleCourse Pass
  10. Scaling and BackpressureCourse Pass
  11. DeploymentCourse Pass

Part 4 · Architect the System

  1. Worked Enterprise CaseCourse Pass
  2. Incident ReviewCourse Pass
  3. CapstoneCourse Pass

Engineering Studio

  1. Request Boundary LabCourse Pass
  2. RAG Evidence LabCourse Pass
  3. Release Gate LabCourse Pass
  4. Challenge · Stream WatchdogCourse Pass
  5. AssessmentCourse Pass
  6. Interview QuestionsCourse Pass
  7. References and Next StepsCourse Pass