_ AI IN SPRING

Learn Spring AI|

Build AI-powered Spring Boot applications.

AI is rapidly becoming a core part of modern applications, but integrating LLMs into a Spring application involves much more than dealing with prompts.

In this course, we’ll learn how to use Spring AI to build intelligent, production-ready applications while taking advantage of the familiar Spring programming model.

AI in Spring

Prompts

RAG

MCP

Robot figure connected to floating documents and icons, representing data processing for learning AI spring theme.

Course Outline

Introduction to Spring AI

2 LESSONS

1. What Is Spring AI?

2. Setting Up Our First Spring AI Application and Chat Endpoint

The ChatClient in Depth

4 LESSONS

1. Prompts and Roles

2. Connecting to AI Providers (OpenAI, Anthropic)

3. Streaming Responses with WebFlux

4. Getting Structured Output (JSON/POJOs)

Retrieval Augmented Generation (RAG)

4 LESSONS

1. Understanding Retrieval Augmented Generation (RAG)

2. Creating Embeddings and Using Vector Stores

3. Ingesting Data (Documents)

4. Implementing RAG with the QuestionAnswerAdvisor

Working with the Model-Context-Protocol (MCP)

2 LESSONS

1. What Is the Model-Context-Protocol (MCP)?

2. Building an MCP Client (upcoming)

Testing and Best Practices

3 LESSONS

1. Best Practices (upcoming)

2. Testing Spring AI Applications (upcoming)

3. Testing RAG Applications with Evaluators (upcoming)

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Multiple-Choice questions in Each Lesson

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