Spring AI for Java Developers: Build Generative AI Applications — PickAClass
3.7 (3) ⏱ 2 oras 42 min 📚 27 aralin 🎧 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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Tungkol sa kursong ito

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.

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Pinatutunayan nito na
Pangalan Apelyido
ay matagumpay na nagpakita ng kahusayan sa
Spring AI for Java Developers: Build Generative AI Applications
Mga skill na ipinakita
Pagsusuri ng Behavioral Pattern
Pundasyonal
1.2 oras
Mga framework ng decision-architecture
Bihasa
1.4 oras
Disenyo ng A/B test
Bihasa
1.7 oras
Behavioral copywriting
Advanced
1.9 oras
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PickAClass — Pangalan Apelyido
Spring AI for Java Developers: Build Generative AI Applications
Pahina 2 ng 2
Detalye ng performance
Buod ng coursework
Mga araling natapos 14 / 14
Practice questions 26 / 28
Mga assignment na isinumite 4 (avg 4.5 / 5)
Capstone project Nasuri — 4.6 / 5
Kabuuang practice 6.2 oras
Performance benchmark
Cohort rank Top 12% sa 1,625
Oras hanggang matapos 11 araw (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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pickaclass.com/certificates/PCC-2026-X4F7-AP19
Inisyu sa ilalim ng academic standards ng PickAClass. Ang skill levels ay sumasalamin sa na-assess na performance laban sa competency rubric ng kurso. Ito ay orihinal na credential ng platform na ito.

Mga review (3)

Gabriela Flores MX
★ 2 · 22.06.2026

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

ياسر الهاشمي KW Verified learner
★ 5 · 20.06.2026

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 · 03.06.2026

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

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