Spring AI for Java Developers: Build Generative AI Applications

Transition from traditional Java development to AI engineering by mastering Spring AI, vector databases, and retrieval-augmented generation in Spring Boot.

4.6 (2,101) ⏱ 1h 35m 📚 7 lessons 🎧 Audio version

About this course

As generative AI transforms the software landscape, backend developers need a reliable way to integrate intelligent capabilities into existing enterprise architectures. Java developers can leverage their Spring Boot expertise to build robust, production-ready AI applications without starting from scratch. This written course guides you through the transition from standard backend development to AI engineering. You will learn how to connect Java applications to large language models, manage conversational memory, and implement advanced patterns like Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP). Through clear explanations and practical code snippets, you will gain the skills to build, test, and observe intelligent services. What you'll learn: - Understand the core concepts of generative AI, including tokens, embeddings, and large language model architectures. - Configure Spring AI to connect with leading AI models and manage API interactions securely. - Implement Retrieval-Augmented Generation (RAG) using vector databases to query custom document data. - Apply prompt engineering techniques and map unstructured AI responses to structured Java objects. - Manage conversational state and user memory across stateless HTTP requests using database persistence. - Integrate advanced AI workflows like tool calling, speech-to-text, and real-time observability. The journey begins with foundational AI definitions and basic Spring AI configurations, then progresses systematically through prompt engineering, memory management, and vector search. You will explore structured outputs and advanced agentic patterns, concluding with modern testing and observability practices for AI systems. This course is designed for Java and Spring Boot developers who want to enter the AI space. No prior machine learning or AI experience is required, though familiarity with basic Spring Boot concepts is recommended. Start reading today to bring modern artificial intelligence to your Java backend services.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 30-day refund
    No questions asked
  • Short & focused
    1h 35m of practical content

Reviews (3)

ياسر الهاشمي KW Verified learner
★ 5 · 2025-10-20T23:51:53+00:00

Found it useful. The flow was logical, and the illustrative examples helped solidify the ideas. Could have used a bit more depth.

Gabriela Flores MX
★ 2 · 2025-07-18T00:38:53+00:00

Pretty informative. I liked the practical application examples, though the initial setup took longer than I expected.

سميرة بن صالح TN Verified learner
★ 4 · 2025-05-25T00:06:53+00:00

Really enjoyed the flow of this. The practical applications discussed were spot on. Great course!

Write a review

You'll be asked to sign in after sending — your draft is saved.

Learners also took

Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe, or with cryptocurrency. We do not store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 30 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

Built for learners in
Tech Design Finance Marketing Healthcare Education Hospitality Manufacturing