Mastering AI Agents on the JVM (Java/Kotlin)
29 October, 2026 – Hilversum, The Netherlands
In this training, you’ll learn the essentials of generative AI and apply them hands-on. From semantic search and RAG to MCP and multi-agent workflows, you’ll build real-world agentic applications using state-of-the-art frameworks like Spring-AI and LangChain4j that bring next-generation intelligence into your JVM projects.
Any questions?
Melchior will gladly help you further with any personal or in-company needs you might have.
Melchior Schimmel
Chief Sales
What will you learn?
In this GenAI for Kotlin Developers training, you’ll unlock the skills to supercharge your JVM applications with AI. You’ll not only understand the core principles of generative AI, but also get hands-on experience turning them into real solutions. By the end, you’ll know how to seamlessly integrate AI features into your apps or build powerful agentic systems from scratch using frameworks like LangChain4j and Spring-AI.
Key takeaways
- Build intelligent search experiences → Implement semantic search with embeddings and vector databases, covering document processing, data ingestion, and retrieval patterns that enhance enterprise applications.
- Master LLM interaction patterns → Apply prompt engineering, generate structured outputs, stream responses, and design Retrieval-Augmented Generation (RAG) systems for real-world use cases.
- Design multi-agent AI workflows → Orchestrate complex agentic systems with conditional logic, parallel execution, and monitoring to drive intelligent automation of business processes.
- Leverage the Model Context Protocol (MCP) → Learn how create extensible AI applications that interact with external tools and services, enabling seamless integration with UIs like Claude, ChatGPT, or your own LLM-powered apps.
Program
This 2-day training covers multiple subjects, which are elaborated more in Overview. This includes AI Fundamentals and tool integration.
Understanding the AI landscape from a backend perspective: APIs vs embedded models, cloud vs on-premise deployment options
Who is it for?
This course is for JVM Developers (Java, Kotlin, Scala, etc.) who want to master building applications with Agentic AI.
Requirements
Basic Java or Kotlin knowledge
Experience with enterprise application development
Basic Spring Boot knowledge helpful, but not required
Why should I follow this training?
Master core AI concepts
Build a strong foundation in generative AI by understanding core concepts like embeddings and semantic search, LLM interaction, tool-calling, and multi-agent systems — and turn them into practical solutions.
Build agentic applications
Gain hands-on experience with semantic search, RAG, tools, (multi-)agent workflows, and MCP using AI stacks for the JVM like langchain4j, spring-AI, and more.
Future-Proof Your Skills
Stay ahead with the next-generation AI patterns every JVM developer will soon rely on.
What else
should I know?
The following subjects will be treated in-depth, with frequent live-coding samples, hands-on, and group exercises:
– Introduction to AI Fundamentals for Backend Engineers
– Semantic Search with Embeddings and Vector Databases
– LLM Integration and Enterprise RAG Implementation
– Model Context Protocol (MCP) and Tool Integration
– Agentic AI and Multi-Agent Workflows
After registration for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements.
See you soon!
Course information
Hands-on practice with your own codebase.
Mix of live demos, interactive labs, and peer collaboration.
Lunch and snacks are included on the first day, refreshments will be provided on the second day.
Travel and accommodation expenses are not covered.
Meet the trainers
Urs Peter
Urs is a seasoned software engineer with over 15 years of experience in building resilient, scalable and mission-critical systems, mostly involving Kotlin and Scala.
Merlijn Boogerd
Merlijn is a versatile software engineer with experience across development, architecture, and DevOps. He focuses on identifying and removing bottlenecks within software organizations, enabling teams
Also interesting for you
2 days to AI coding mastery. Work with Claude, Copilot, and Cursor on your actual projects. Build Model Context Protocol integrations for your specific workflows. Leave with skills that immediately boost your productivity and custom tools that keep working long after the workshop ends.
