From Java Dev to AI Engineer: Spring AI Fast Track

About this course

Are you ready to build AI-powered Java applications with real-world use cases? This hands-on course will teach you how to integrate cutting-edge AI capabilities into your Spring Boot applications using the Spring AI 2.x framework and OpenAI.You’ll master everything from building your first chat-based app to using Retrieval-Augmented Generation (RAG), Tool Calling, Structured Output Conversion, MCP (Model Context Protocol), and even Speech-to-Text, Text-to-Speech, and Image Generation — all using Java and Spring Boot.

From understanding how LLMs work to deploying production-ready AI features with observability, testing, and advisor-based safety, this course is packed with powerful demos, clean explanations, and practical techniques to bring intelligence to your backend.

Whether you're a Java developer, Spring enthusiast, or backend engineer exploring Generative AI, this course will guide you step-by-step with best practices and battle-tested code.

What You’ll Learn:

• Section 1: Welcome & Hello World with Spring AI
• Understand the Spring AI framework and course roadmap
• Build your first Spring Boot AI app using OpenAIDeep dive into ChatModel and ChatClient APIs

Section 2: Prompt Engineering & Structured Output

Use message roles, prompt templates, and stuffing techniques

Work with advisors to control AI behavior

Map AI responses to Java Beans, Lists, and Maps

Section 3: Generative AI & LLM Fundamentals

Learn about tokens, embeddings, and how LLMs generate text

Understand attention, vocabulary, and model internals

Explore static vs positional embeddings and context windows

Section 4: AI Memory with ChatHistory

Implement stateless-to-stateful conversations

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