Spring AI + RAG: Build Production-Grade AI with Your Data
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4.6
337 students
English
FREE$19.99
100% OFFLifetime access • Certificate included
This course includes:
- 📹0 mins on-demand video
- 📄4 articles
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- 📱Access on mobile and TV
- 🏆Certificate of completion
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4
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📖About This Course
Most RAG courses stop at loading a few documents and asking questions.This course goes further.Spring AI + RAG: Build Production-Grade AI with Your Data teaches you how to design, build, and operate a real Retrieval-Augmented Generation (RAG) system the way backend engineers build serious systems — with clear boundaries, explicit pipelines, and production-minded decisions.This is not a prompt-engineering or chatbot tutorial. It is a backend-first system design course focused on correctness, reliability, and long-term maintainability.You will build a complete Internal Knowledge Assistant for a fictional company, using:Spring BootSpring AIPostgreSQLRedis / vector storesThe same codebase evolves throughout the course, exactly like a real backend system.What Makes This Course DifferentRAG is treated as a system, not a prompt trickIngestion, chunking, retrieval, and prompting are separate, testable pipelinesMetadata is a first-class concern, not an afterthoughtKnowledge can be added, updated, and deleted safelyEverything is implemented using Spring AI abstractions, not custom hacksNo Python, no LangChain, no demo-only shortcutsBy the end, you will not just “use Spring AI” — you will understand how to own and evolve an AI system in production.What You Will LearnHow to design ingestion pipelines for PDFs, Markdown, and databasesWhy chunking strategies directly affect retrieval qualityHow embeddings and vector stores fit into backend architectureHow to build metadata-aware retrieval pipelinesHow to control LLM behavior with explicit prompt orchestrationHow to manage knowledge lifecycle: add, update, deleteHow to build RAG systems that remain correct as data changesCourse Modules OverviewThis course is organized as a progressive backend system build, where each module introduces exactly one new system concern.Module 1 — Setup & Spring AI BaselineSpring Boot + Spring AI setup and a minimal chat endpoint to establish the foundation.Module 2 — RAG ReadinessUse-case framing, data sources, and infrastructure setup (PostgreSQL, Redis).Module 3 — Ingestion PipelinesDesigning repeatable ingestion for PDFs, wiki content, and database records.Module 4 — Chunking StrategiesSource-specific chunking approaches and a unified chunking pipeline.Module 5 — Embeddings & Vector StorageGenerating embeddings and persisting them with metadata in a vector store.Module 6 — Retrieval PipelinesMetadata-aware similarity search and clean retrieval integration into chat.Module 7 — Prompt Orchestration & ReliabilityGrounded prompts, explicit behavior control, and citation-based, source-attributed answers.Module 8 — Knowledge LifecycleSafe add, update, and delete workflows to keep the system correct over time.Who This Course Is ForJava and Spring Boot developersBackend engineers integrating AI into real systemsDevelopers who already understand REST APIs, databases, and Spring fundamentalsEngineers who want to move beyond demo-level RAG implementationsWho This Course Is NOT ForAbsolute beginners to Java or SpringNo-code or prompt-only AI learnersFrontend-focused developers looking for chatbot-only examplesLearners expecting quick "load a PDF and chat" style examplesOutcomeAfter completing this course, you will be able to:Design RAG systems confidentlyBuild production-grade AI pipelines using Spring AIReason about correctness, reliability, and system boundariesApply the same architecture to other real-world use-casesThis course gives you the mental model and engineering discipline needed to build AI systems that last.
Spring AI RAG Course - Free Udemy Course [100% Off]
Limited-Time Offer: This IT & Software Other IT & Software Udemy course is now available completely free with our exclusive 100% discount coupon code. Originally priced at $19.99, you can enroll at zero cost and gain lifetime access to professional training. Don't miss this opportunity to master backend-focused RAG systems without spending a dime!
What You'll Learn in This Free Udemy Course
This comprehensive free online course on Udemy covers everything you need to become proficient in building production-grade RAG systems using Spring AI. Whether you're a beginner or looking to advance your backend development skills, this free Udemy course with certificate provides hands-on training and practical knowledge you can apply immediately.
- Design ingestion pipelines for PDFs Markdown and databases to structure data effectively
- Implement reliable vector stores with metadata-aware retrieval techniques
- Control LLM behavior through explicit prompt orchestration for grounded results
- Build safe knowledge lifecycle workflows for adding updating and deleting information
- Create metadata-driven similarity search pipelines for enterprise-grade applications
- Apply Spring AI abstractions to build production-ready AI systems that scale
- Master chunking strategies that directly improve retrieval quality and relevance
Who Should Enroll in This Free Udemy Course?
This free certification course is perfect for Java developers aiming to integrate AI into real backend systems. Here's who will benefit most from this no-cost training opportunity:
- Backend engineers seeking to add AI capabilities to Spring Boot applications
- Developers who understand Java Spring Boot and want to learn RAG implementation
- Career changers targeting high-paying AI engineering roles in enterprise systems
- Tech leads building internal knowledge assistants for organizations
- Students preparing for production-grade AI system design interviews
- Developers wanting to move beyond chatbot tutorials into enterprise solutions
- AI engineers aiming to work with vector databases and metadata systems
Meet Your Instructor
Learn from industry experts in backend AI development who have worked on Fortune 500 system integrations. With 10+ years of experience designing scalable architectures using Spring technologies they specialize in teaching production-grade solutions. Their proven teaching methodology combines real-world case studies with practical exercises that mirror professional development workflows.
Course Details & What Makes This Free Udemy Course Special
With a 5.0 rating and 9 students already enrolled this Udemy free course has proven its value. The course includes 4 comprehensive lessons (no video tutorials) all taught in English. What sets this free online course apart is its unique focus on backend-first RAG system design - moving beyond prompt engineering to teach explicit pipelines production-minded decision-making and long-term maintainability. Upon completion you'll receive a certificate to showcase on LinkedIn and your resume. Plus with mobile access you can learn anywhere including smartphones and tablets. This category course in the Other IT & Software niche is regularly updated and includes lifetime access meaning you can revisit materials whenever you need a refresher.
How to Get This Udemy Course for Free (100% Off)
Follow these simple steps to claim your free enrollment:
- Click the enrollment link to visit the Udemy course page
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- The price will drop from $19.99 to $0.00 (100% discount)
- Complete your free enrollment before February 28 2026 at 14:04 UTC
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Important: This free Udemy coupon code expires on February 28 2026. The course will return to its regular $19.99 price after this date so enroll now while it's completely free. This is a legitimate working coupon - no credit card required no hidden fees no trial periods. Once enrolled the course is yours forever.
Why You Should Grab This Free Udemy Course Today
Here's why this free certification course is an opportunity you can't afford to miss:
- Master production-grade RAG system design used by top backend engineers
- Gain practical skills to build and maintain enterprise AI systems
- Understand how to manage knowledge lifecycle securely in production
- Develop resume-worthy expertise in Spring AI and vector stores
- Access to future course updates at no additional cost
- Lifetime access allows self-paced learning for busy professionals
Frequently Asked Questions About This Free Udemy Course
Is this Udemy course really 100% free?
Yes! By using our exclusive coupon code 6E4101D8EDFCD8BA149D you get 100% off the regular $19.99 price. This makes the entire course completely free - no payment required no trial period and no hidden costs. You'll have full access to all course materials just like paying students.
How long do I have to enroll with the free coupon?
This limited-time offer expires on February 28 2026 at 14:04 UTC. After this date the course returns to its regular $19.99 price. We highly recommend enrolling immediately to secure your free access. The coupon has limited redemptions available.
Will I receive a certificate for this free Udemy course?
Absolutely! Upon completing all course requirements you'll receive an official Udemy certificate of completion. This certificate can be downloaded shared on LinkedIn and added to your resume to showcase your new skills to employers.
Can I access this course on my phone or tablet?
Yes! This course is fully compatible with the Udemy mobile app for iOS and Android. Download the app enroll with the free coupon and learn on-the-go. You can watch content complete exercises and track your progress from any device.
How long do I have access to this free course?
Once you enroll using the free coupon code you get lifetime access to all course materials. There's no time limit - learn at your own pace revisit lessons anytime and benefit from future updates at no additional cost. Your one-time free enrollment gives you permanent access.
Frequently Asked Questions
Q: Is this course really free?
Yes! Using our verified coupon code, you can enroll for 100% OFF. No hidden charges.
Q: Do I get a certificate?
Upon completion of all video lectures, Udemy will issue a certificate of completion.
Q: How long is my access?
Once you enroll with the coupon, you get full lifetime access to the materials.
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