Introduction to Spring AI
Spring AI helps developers bring generative AI into Spring Boot applications. This session covers building blocks like chat, RAG, tool calling, testing, observability, and agentic AI patterns with MCP, showing how to create production-ready AI applications and agentic systems through hands-on examples.
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production. This session introduces Spring AI, the framework that brings GenAI capabilities natively into your
Spring Boot applications.
We'll walk through the building blocks of AI-powered applications. From conversational chat interactions to
Retrieval-Augmented Generation (RAG), tool calling, testing, and observability, before diving into agentic AI
patterns using the Model Context Protocol (MCP).
Through hands-on examples, attendees will learn to build production-ready AI applications and agentic systems
using Spring AI.
Timo Salm
Timo Salm is a Principal Solutions Engineer at VMware Tanzu by Broadcom with over a decade of experience in customer-facing roles, modern applications, DevSecOps, and AI. In his roles, he ensures that the most strategic customers in the EMEA region achieve their goals with VMware Tanzu's Spring, developer platform, AI, and data products. Another essential part of his role is continuously learning through experimenting hands-on with innovations and sharing the outcomes with colleagues, customers, and the community via, for example, conferences. Before Timo joined Pivotal, which VMware and now Broadcom acquired, he worked for consulting firms in the automotive industry as a software architect and full-stack developer.