Spring AI for Java Developers: Build Generative AI Applications — PickAClass
3.7 (3) ⏱ 2h 42m 📚 27 lessons 🎧 Audio version

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.

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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
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 42m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Spring AI for Java Developers: Build Generative AI Applications
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Spring AI for Java Developers: Build Generative AI Applications
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (3)

Gabriela Flores MX
★ 2 · June 22, 2026

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

ياسر الهاشمي KW Verified learner
★ 5 · June 20, 2026

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

سميرة بن صالح TN Verified learner
★ 4 · June 3, 2026

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

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