Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents — 92% OFF Coupon

Build production-ready Generative AI applications with Spring AI - LLM, RAG, AI agents, Chat memory, MCP, Observability

★4.6 out of 5
214 students
English
Updated April 2026

Quick Facts — Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents Overview

Here's a quick overview of everything you need to know about Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents before you enroll:

•Course Name: Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents
•Platform: Udemy
•Instructor: Ali Gelenler, EA Algorithm
•Coupon Last Verified: April 20, 2026
•Level: All Levels
•Topic: IT & Software
•Subtopic: Spring AI
•Total Time: 23h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Learn and implement GenAI applications using Java and Spring AI · Learn how to call remote Large Language Models using Open AI, Google Gemini and Hugging Face APIs · Learn how to call local Large Language Models using Ollama and Docker Model Runner
•Requirements: Basic to intermediate knowledge of Java · Familiarity with Spring Boot
•Current Price: $9.99 (was $129.99). You save $120.00 with 92% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master in This Course

By the end of Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents, you'll have these practical skills:

✓Learn and implement GenAI applications using Java and Spring AI .
✓Learn how to call remote Large Language Models using Open AI, Google Gemini and Hugging Face APIs .
✓Learn how to call local Large Language Models using Ollama and Docker Model Runner .
✓Learn and implement Spring AI advanced concepts: Streaming, Structured output, Chat options, Advisors, Prompt templates .
✓Learn Prompt engineering best practices including zero/one/few shot, CoT, changing creativity(temperature), controlled variability(top-p,) limiting tokens .
✓Learn Prompt hacking techniques and their mitigation strategies: Prompt injection, Jailbreaking, Prompt leaking and Advanced hacking techniques .
✓Understand GenAI and LLM fundamentals: Tokenizers, Embeddings, Positional encoding, Transformer architecture, Token prediction and Softmax formula .
✓Understand chat memory and implement with multiple backends using Spring AI: In-memory and Jdbc for short-term memory, Vector store for long-term memory .
✓Learn and implement multimodality using text, image and sound conversion use cases .
✓Understand LLM limitations and their possible mitigations .
✓Learn and implement advanced RAG systems .
✓Learn and implement AI Agent systems with autonomous and chained workflow agentic systems .
✓Understand MCP (Model Context Protocol) and implement MCP server and MCP client applications using Spring AI .
✓Understand and apply Observability to RAG and AI Agent systems using Spring Observability.

Prerequisites for This Course

Before enrolling in Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents, make sure you have:

•Basic to intermediate knowledge of Java
•Familiarity with Spring Boot
•Experience with backend development concepts
•Basic familiarity with AI/LLM concepts

About This Udemy Course

The following is the full official course description for Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents as published on Udemy by instructor Ali Gelenler, EA Algorithm:

Want to build real-world Generative AI (GenAI) applications with Java, Spring Boot, Spring AI, RAG and AI Agents—not just experiment with prompts?

This course will take you from fundamentals to production-ready AI systems, including RAG pipelines, AI agents, tool calling, chat memory, MCP, observability, prompt engineering, and prompt hacking.

Hi there! My name is Ali Gelenler. I'm here to help you learn GenAI using Java and Spring AI from fundamentals to real-world production ready AI architectures and systems with a practical approach.

In this course, you will focus on creating AI applications to go beyond AI generated code and implement over 20 use cases using Java and Spring AI together with various AI providers and models, such as Open AI, Google Gemini Vertex AI, Hugging Face, Ollama and Docker Model Runner. You will build AI applications and AI systems using LLMs (Large Language Models), integrate vector databases and embeddings, and design scalable backend architectures for Generative AI.

You will learn:
  • Building end-to-end GenAI systems in Java and Spring AI with advanced Spring AI concepts
  • Designing RAG pipelines with vector databases, embeddings, similarity search and semantic search using advanced ingestion and retrieval strategies such as query transformer, query expander, pre/post processors, re-ranker, metadata filtering and dynamic resource updates
  • Creating AI agents with tool/function calling using autonomous and chained workflow agentic systems
  • Implementing chat memory and long-term context with in-memory, jdbc and vector store backends using Spring AI advisors
  • Applying prompt engineering best practices and defend against prompt hacking techniques including prompt injection, jailbreaking and prompt leaking attacks
  • Using MCP (Model Context Protocol) for distributed AI systems, creating MCP Server and MCP client using Spring AI
  • Adding Observability (logs, traces, metrics) to AI applications
  • Learning Gen AI and LLM Fundamentals with Tokenizers, Embeddings, Positional encoding, Transformer architecture, Token prediction and Softmax formula
  • Mapping the Gen AI and LLM Fundamentals into practical solutions
  • Understanding LLM limitations and possible mitigations
You will implement 20+ real-world use cases, including:
  • AI-powered assistants: Summarizer, Java Doc generator, Programming helper, Email drafter, Post generator
  • Document Q&A systems with advanced RAG pipelines
  • Security review from architectural diagram AI agent system with multiple tools including Remote Mcp Server tool, Web tool, RAG tool and Diagram extract tool, implementing both autonomous and chained workflow agent systems
  • Multimodal applications including Image-to-Text, Text-to-Image, Speech-to-Text and Text-to-Speech use cases
  • Order status helper with advanced chat memory strategies
  • Production-ready AI systems with monitoring and tracing
Technologies & tools you will use:
  • Java & Spring AI
  • Advanced Spring AI concepts: Streaming, Structured output, Chat options, Advisors, Prompt templates
  • OpenAI, Google Gemini (Vertex AI), Hugging Face APIs
  • Ollama & Docker Model Runner for local LLMs
  • Vector databases using PgVector
  • MCP (Model Context Protocol) with MCP Server and MCP Client implementations
  • Observability tools (Grafana, Prometheus, Otlp, Tempo, Jaeger, Loki and Promtail)
This is a practical and production-oriented course. You will not just generate code using AI tools—you will learn how to:
  • Design systems
  • Handle real-world limitations
  • Build scalable and maintainable AI applications
For more detailed information on the progress of this course, you can check the introductory video and free lessons, and if you decide to enroll in this course, you are always welcome to ask and discuss the concepts and implementation details on Q/A and messages sections. I will guide you from start to finish to help you successfully complete the course and gain as much knowledge and experience as possible from this course.

Support & updates
  • You can ask questions anytime in Q&A
  • The course will be continuously updated as Spring AI evolves
  • You’ll get guidance to fully understand and apply concepts
Remember! There is a 30-day full money-back guarantee for this course! So you can safely press the 'Buy this course' button with zero risk and join this learning journey with me.

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Is the Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 20, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents is a high-value resource for learners seeking to build skills inIT & Software. Taught by Ali Gelenler, EA Algorithm on Udemy, the 23h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 92%, from $129.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 92% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 214 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents:

  • The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents has earned an aggregate rating of 4.6 out of 5 from 214 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.6
★★★★★
214 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

About the Instructor — Ali Gelenler, EA Algorithm

Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents is taught by Ali Gelenler, EA Algorithm, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Ali Gelenler, EA Algorithm
•Subject Area: IT & Software
•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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