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Spring AI: LLMs, Tools, RAG, Agentes y Deploy en AWSCLAIM COUPON
OCTU···26
Udemy

Spring AI: LLMs, Tools, RAG, Agentes y Deploy en AWS

Domina Spring AI 2.x con Java 21 y Google Gemini. Tool Calling, RAG, Agentes, MCP y deploy en AWS paso a paso.

Taught by ⋮ Fernando Herrera, {d/t} - DevTalles, Chaldu Gabriel

Total Enrolments : 221
4.7rating based on(221 reviews)Available on Udemy

$9.99 with coupon (list $149.99 — save $140.00, 93% off)

Coupon Verified: October 15, 2026 · click Claim Coupon to apply the discount code

Is the Spring AI: LLMs, Tools, RAG, Agentes y Deploy en AWS Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWynUpdated Oct 15, 2026

Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Spring AI: LLMs, Tools, RAG, Agentes y Deploy en AWS on Udemy is $149.99. With the coupon code on this page, that falls to $9.99 — a saving of $140.00, or 93% off the standard rate Spread across 18h 30m of on-demand video, that works out to roughly $0.54 per hour of content — cheaper than a single chapter of most printed Development textbooks.

A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Fernando Herrera and {d/t} - DevTalles and Chaldu Gabriel walk you through construir un asistente médico con IA de punta a punta con Spring AI y Java 21, desde la primera llamada a un LLM hasta producción en AWS, integrar y cambiar entre modelos como Google Gemini y Ollama sin tocar el código, evitando el vendor lock-in con Spring Profiles, and dominar Tool Calling para que el modelo ejecute funciones reales: buscar turnos, consultar APIs externas y reservar citas médicas — skills meant to be used, not just watched. It has already been taken by 221 students and holds a 4.7-star average from verified reviews, which suggests the content holds up once learners actually apply it.

Check the prerequisites before you commit: Conocimientos básicos de Java y Spring Boot (crear un proyecto, controllers, inyección de dependencias). No necesitás saber nada de IA.; Tener (o instalar) JDK 21, IntelliJ IDEA Community, Docker Desktop y Postman. La primera sección te guía en las instalaciones paso a paso.. Best suited to learners who already have footing in Development. Plan for roughly 18h 30m of on-demand video at your own pace. Lessons are delivered in Spanish.

Pros

  • ✓Confirmed 93% price cut, checked by hand.
  • ✓Strong learner feedback (4.7 out of 5).
  • ✓Taken by 221 students so far.
  • ✓Completion certificate plus lifetime access.

Cons

  • !The coupon can expire without warning — after that, expect something close to the standard $149.99.
  • !Lifetime access depends on Udemy itself; platform policies can always change.
  • !Set aside extra hours for exercises and quizzes beyond the 18h 30m of video.

What You'll Learn

Practical skills and outcomes you'll gain from Spring AI: LLMs, Tools, RAG, Agentes y Deploy en AWS — taken from the official Udemy syllabus for Development learners.

Construir un asistente médico con IA de punta a punta con Spring AI y Java 21, desde la primera llamada a un LLM hasta producción en AWS.

Integrar y cambiar entre modelos como Google Gemini y Ollama sin tocar el código, evitando el vendor lock-in con Spring Profiles.

Dominar Tool Calling para que el modelo ejecute funciones reales: buscar turnos, consultar APIs externas y reservar citas médicas.

Implementar RAG con embeddings y vector stores (Chroma y PGVector) para que el asistente responda usando documentos médicos reales.

Asegurar tus endpoints de IA con Keycloak y JWT usando Spring Security, aplicando autenticación de nivel producción.

Diseñar agentes y workflows (Chain, Routing, Orchestrator-Workers) e implementar Human-in-the-Loop para acciones críticas.

Conectar tu app al ecosistema MCP como cliente y servidor, exponiendo Tools, Resources y Prompts a otros sistemas.

Generar Structured Outputs: convertir respuestas del LLM en objetos Java tipados y usar el modelo como clasificador.

Requirements

What you need before enrolling in Spring AI: LLMs, Tools, RAG, Agentes y Deploy en AWS — prerequisites as listed by the instructor on Udemy.

Conocimientos básicos de Java y Spring Boot (crear un proyecto, controllers, inyección de dependencias). No necesitás saber nada de IA.

Tener (o instalar) JDK 21, IntelliJ IDEA Community, Docker Desktop y Postman. La primera sección te guía en las instalaciones paso a paso.

Overview

The full official description of Spring AI: LLMs, Tools, RAG, Agentes y Deploy en AWS — curriculum, teaching approach, and everything included with this Udemy coupon.

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Frequently Asked Questions

Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on October 15, 2026.


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$9.99 · 93% off
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