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Building Reliable AI Agents with Java and LangChain4J Workshop
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Reliable AI Agents in Java with LangChain4J — Workshop

Packt workshop with Susanne Pieterse on building production-ready AI agents in Java with LangChain4J — guardrails, evaluation, observability. June 13, 2026.

LB
Luca Berton
· 2 min read

A Workshop I’m Happy to Support

I’m excited to share an upcoming live workshop from my friend Susanne Pieterse — a LangChain4J contributor, international speaker, and iSAQB Software Architect.

Susanne is one of the strongest technical voices in the Java AI community, and this workshop is the real deal: hands-on, production-focused, no fluff.

Workshop Details

TitleBuilding Reliable AI Agents with Java and LangChain4J
InstructorSusanne Pieterse
DateSaturday, June 13, 2026
Time10:30 AM – 1:30 PM ET
FormatLive, hands-on
PlatformDeep Engineering by Packt

What You’ll Build

This isn’t another “call the OpenAI API and call it AI” demo. You’ll start from a simple pipeline and evolve it into a full agentic system:

  1. Simple AI pipeline — baseline LangChain4J integration
  2. Decision-making agents — autonomous reasoning and tool selection
  3. Guardrails — preventing hallucinations and unsafe outputs
  4. Evaluation — measuring agent quality systematically
  5. Observability — debugging and monitoring agents in production

By the end, you won’t just have an agent — you’ll understand how to control, measure, and debug it.

Why This Matters for Java Developers

The AI agent ecosystem has been dominated by Python (LangChain, CrewAI, AutoGen). But enterprise Java teams can’t rewrite their stack. LangChain4J brings the same agentic patterns to the JVM — with type safety, Spring Boot integration, and production-grade tooling.

Key topics covered:

  • Agentic architecture patterns in Java
  • Tool calling with type-safe interfaces
  • Memory management for multi-turn conversations
  • Guardrails and validation to prevent agent failures
  • Evaluation frameworks to measure reliability
  • Observability with tracing and logging for production debugging

Who Should Attend

  • Java developers building AI features into existing applications
  • Backend engineers evaluating LangChain4J for production use
  • Architects designing agentic systems on JVM infrastructure
  • Teams migrating from Python AI prototypes to Java production systems

Exclusive 50% Discount

Use code LUCA50 at checkout for 50% off registration.

Register on Eventbrite →

Limited seats available — the workshop is in 3 days.

About Susanne Pieterse

Susanne is a contributor to the LangChain4J project, an international conference speaker, and an iSAQB-certified Software Architect. She brings deep expertise in both Java enterprise architecture and modern AI agent patterns — a rare combination that makes her teaching uniquely practical.

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