Complete Java & Spring Boot with Spring AI, RAG & AI Agents

About this course

This course takes you from writing your first Java program to building, securing and deploying production-style Spring Boot applications, and then adding real AI features with Spring AI. Everything is taught hands-on: you write the code alongside us, hit the same errors, and fix them the way you would on a real project.

What you will build and learn

Java fundamentals and modern Java: OOP, exceptions, collections, lambdas, the Stream API, Optional, BigDecimal and the Date-Time API.Developer foundations: Git and GitHub, SQL with PostgreSQL, Maven builds and profiles, and JDBC with prepared statements and transactions.

Backend and Spring Boot: HTTP and REST design, beans and dependency injection, REST controllers, DTOs, validation, the service layer and global exception handling.

Spring Data JPA and Hibernate: entity mapping, relationships, pagination, projections, cascading, transactions and fixing N+1 queries.

Spring Security: the filter chain, custom authentication, JWT access and refresh tokens, Google OAuth2 login, session limits, roles, permissions and method-level security.

Microservices: Eureka service discovery, Spring Cloud Gateway, OpenFeign and Resilience4j retry, rate limiting and circuit breakers.

Generative AI with Spring AI: how LLMs work, prompts and model controls, the OpenAI Java SDK, ChatClient, structured output, streaming and multimodal input.

RAG, memory and advisors: embeddings, Qdrant vector search with tenant isolation, document ingestion, manual and advisor-based RAG, conversation memory and custom advisors.

Tools, agents and MCP: safe tool calling with human approval, practical agents with observability and evaluation, and building and consuming MCP servers.

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