Course Overview
- Course Title: Spring AI + RAG: Build Production-Grade AI with Your Data
- Instructor: Harish (Infiproton Tech)
- Target Audience:
- Java and Spring Boot developers
- Backend engineers integrating AI into production systems
- Developers with REST API, database, and Spring fundamentals experience
- Prerequisites:
- Basic experience with Java and Spring Boot (REST APIs, configuration, project structure)
- Comfort with databases and backend application concepts
- Familiarity with IDE-based development and running applications locally
- No prior AI, RAG, or Spring AI experience required
Curriculum Highlights
- Key Topics Covered:
- End-to-end RAG system design using Spring AI
- Ingestion pipelines for PDFs, wiki documents, and database content
- Chunking and embedding pipelines for retrieval quality
- Metadata-aware retrieval pipelines and backend chat integration
- Prompt orchestration, grounding rules, and source-attributed answers
- Knowledge lifecycle management (add, update, delete data safely)
- System boundaries and production-minded backend architecture
- Key Skills Learned:
- Designing repeatable ingestion pipelines for structured and unstructured data
- Implementing effective chunking strategies to improve retrieval accuracy
- Generating and persisting embeddings with metadata in vector stores
- Building metadata-aware retrieval systems for precise search results
- Controlling LLM behavior using explicit prompt engineering
- Managing data lifecycle in RAG systems without corrupting results
- Applying Spring AI abstractions for scalable, maintainable AI pipelines
Course Format
- Duration:
- 4 hours of on-demand video
- 8 modules with progressive system build
- Format: Self-paced online course
- Resources:
- 1 article
- 35 downloadable resources
- Access on mobile and TV
- Certificate of completion
Special Offer
- Limited Time Coupon Code: N/A (Check course page for active discounts)