Block 3: Applied Spring AI
Integrate Large Language Models directly into your Java services. Learn to build vendor-agnostic AI architectures, implement Enterprise RAG, and create autonomous agents using the latest Spring AI framework.
LLM Integration & Prompt Engineering
Entering the AI space with an engineering mindset. We use Spring AI to build vendor-agnostic integrations, ensuring the application remains flexible and can switch models (OpenAI, Anthropic, Gemini) with zero architecture changes.
Core Concepts
- Vendor-Agnostic AI Architecture
- ChatClient & Prompt Templates
- Type-Safe Structured Output
- ChatMemory & Context Management
Knowledge Integration (RAG) & Vector Stores
Turning corporate data into AI intelligence. We implement Retrieval-Augmented Generation (RAG) using VectorStores like PGVector, allowing the LLM to provide highly accurate answers based on the organization's unique internal data.
Core Concepts
- VectorStore & Embedding Models
- Document Ingestion & Chunking
- Similarity Search & Retrieval
- Context-Aware Advisor Patterns
Tool Calling & Autonomous Agents
Giving the AI the power to act. We implement Tool Calling using the @Tool annotation, enabling autonomous agents to safely invoke existing Java methods to perform real-world tasks and interact with business logic.
Core Concepts
- Agentic Reasoning & Feedback Loops
- Tool Calling with @Tool & @ToolParam
- Multi-step Task Orchestration
- Agent Security & Guardrails
AI Orchestration & Reliability (MCP)
The future of enterprise AI connectivity. We introduce the Model Context Protocol (MCP) to standardize how AI models access external systems, ensuring a highly scalable, reliable, and secure orchestration of intelligent features.
Core Concepts
- Model Context Protocol (MCP) Foundations
- Implementing Standardized AI Tools
- Advanced Agent Orchestration
- Reliability & Error Handling in AI Flows
Lead Instructor & Architect
Andreas Olsson
Expertise through Active Learning
With over 20 years of experience in Java and the Spring ecosystem, my mission is to help organizations rapidly upskill their engineering teams. From mastering modern Spring Boot architectures to integrating generative AI, I help bridge the gap between legacy systems and the future.
That is exactly why I designed The Enterprise Spring Boot & AI Program. Theoretical lectures and passive slide consumption don't build confident engineers. Real competence comes from building, breaking, and fixing enterprise-grade architecture under expert guidance.
"Having led over 20 enterprise bootcamps, my driving force is to turn your developers into highly effective, production-ready engineers. When your team unlocks these new capabilities, the entire organization moves faster."
What the Engineers Say
Read firsthand accounts from software engineers who have leveled up their skills through intensive Java and Spring Boot bootcamps led by Andreas.
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