Practical LLM Service Development for Spring Developers
Dowon Lee
Early Bird
69%
$15.40Basic / openai, vector-database, prompt engineering, RAG, Spring AI
5.0
(5)
This is a practical course on building a RAG-based document search system using the OpenAI API and Spring AI in a Spring Boot environment. You will learn the entire process of developing an AI assistant step by step, from the concepts of Prompt Engineering, Vector Stores, and Embeddings to rapid prototyping with Dify, MCP tool integration, multimodality, and guardrails. You can learn practical application strategies by comparing direct implementation with the use of no-code tools. 🆕 [Update] Section 4 now includes a supplementary lecture (1 hour) on TypeSafe’s Jev decision-making model, covering how to design an agent’s decision-making logic in greater depth.
Basic
openai, vector-database, prompt engineering





![[Revised 2023-11-27] Developing RESTful Web Services using Spring Boot 3.xCourse Thumbnail](https://cdn.inflearn.com/public/courses/325065/cover/43d3072a-4402-45a6-b5ee-332f53a4b75f/325065-eng-b.png?w=420)
![[Old version] Setting up IntelliJ IDEA for web application development (2020 ver.)Course Thumbnail](https://cdn.inflearn.com/public/courses/324954/course_cover/53636a00-6da7-4661-b3ee-52f2359cd1f3/web-app-intellij-eng-2.png?w=420)
![[Revised Edition] Setting up IntelliJ IDEA for web application developmentCourse Thumbnail](https://cdn.inflearn.com/public/courses/331621/cover/3c440a92-fca5-4ce0-a950-d5865d534892/331621-eng.png?w=420)









![[DevOps Basics 1] Monolith to Microservice Conversion with Spring/Python/Node.js and Strangler Fig PatternCourse Thumbnail](https://cdn.inflearn.com/public/courses/329980/cover/7687ff1a-6346-4e04-b2be-ceac51d6a1cc/329980-eng.jpg?w=420)
