Agentic Software Engineering: Building AI-Powered Java Apps (Day 2)

OpenValue Training bv

The second day shifts to deeper technical integration.

Price

from €695

Level

Post-hbo

Kind

Training

Subject

Automation and IT

More information and registration at OpenValue Training bv

Description

Introduction: The second day shifts to deeper technical integration. Participants work hands-on with local model deployment, RAG systems, tool calling, the Model Context Protocol (MCP), multi-agent workflows, and evaluation and observability techniques for AI-enhanced Java applications. Detailed description: Day 2 dives into the technical side of integrating AI into Java applications. Where Day 1 focuses on building an effective personal workflow, Day 2 is about embedding AI capabilities directly into the software you build. Participants work hands-on with local language model deployment using Ollama and vLLM, giving them control over model selection, cost, and data privacy. From there, we build RAG (Retrieval-Augmented Generation) systems in Java using LangChain4j and vector databases, enabling AI to work with your organisation’s own data and documents. We then cover tool calling to connect AI systems to real-world services, and the Model Context Protocol (MCP) — the emerging standard for integrating AI agents with external tools and data sources using Spring AI and LangChain4j. The day closes with multi-agent orchestration patterns and practical guidance on evaluation and