Practical LLM Service Development for Spring Developers
This is a hands-on 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 implementation strategies by comparing direct development with the use of no-code tools.
21 learners are taking this course
Level Basic
Course period Unlimited
openai
openai
vector-database
vector-database
prompt engineering
prompt engineering
RAG
RAG
Spring AI
Spring AI
openai
openai
vector-database
vector-database
prompt engineering
prompt engineering
RAG
RAG
Spring AI
Spring AI
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