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Wed, April 22DeepTech BackEnd
Agent frameworks promise reasoning and autonomy, but enterprise environments demand more than impressive demos, they require reliability, observability, and control. This session dives into how to build and deploy autonomous agents in Java using open-source frameworks such as LangChain4j and Spring AI.
Through live coding and practical examples, attendees will learn proven agent patterns for task planning, tool orchestration, and error recovery, along with evaluation strategies and deployment blueprints for production systems. Drawing from real-world use cases, including DevOps automation and enterprise support bots, the session demonstrates how to move from prototype to production with confidence.
What You Will Learn
How to build autonomous Java agents using LangChain4j and Spring AI
Proven patterns for planning, orchestration, and fault tolerance in production
Evaluation and deployment strategies for reliable, scalable agent systems
Who Should Attend
Java developers, software architects, and AI engineers interested in designing, deploying, and maintaining autonomous agents that meet enterprise production standards.
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Brian Benz is a Java Champion and a Cloud Advocate at Microsoft, helping developers get the most out of Azure. Before Joining Microsoft, he was a program manager, evangelist, solution architect, consultant, developer, and author at IBM, Deloitte, and other companies. Find him on most of the socials and GitHub at @bbenz. A current list of Brian's talks can be found at https://aka.ms/brianspeaking
