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Thu, April 23DeepTech BackEndArchitecture
Integrating AI into enterprise systems has traditionally been complex and specialized, but new tools are changing that. Spring AI and the Model Context Protocol (MCP) simplify AI integration by providing high-level abstractions and seamless interoperability, no deep AI expertise required.
This session walks through the end-to-end process of building an AI agent that can act as a natural language interface to enterprise data and back-end services. Attendees will see how Spring AI and MCP work together to create robust, production-ready AI applications that extend the power of existing Spring ecosystems.
What You Will Learn
How to integrate AI capabilities into Spring applications using Spring AI and MCP
Steps to build and deploy a full AI agent that interacts with enterprise data and services
How to extend existing systems with natural language interfaces
Who Should Attend
Java developers, Spring engineers, and software architects interested in integrating AI agents into enterprise applications without deep AI specialization.
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James Ward is a professional software developer since 1997, with much of that time spent helping developers build software that doesn't suck. A Typed Pure Functional Programming zealot who often compromises on his ideals to just get stuff done. Currently a Developer Advocate for AWS.nerd / software developer who shares what he learns with others though presentations, blogs, demos, and code. After over two decades of professional programming, he is now a self-proclaimed Typed Pure Functional Programming zealot but often compromises on his ideals to just get stuff done. After spending too many sleepless nights in data centers repairing RAID arrays, he now prefers higher-level cloud abstractions with appropriate escape hatches. James is a huge Open Source proponent, hoping to never get burned by lock-in again.
Varsha is a Developer Advocate at AWS India with over seven years of backend engineering experience in healthcare and fintech domains. After surviving her first 2 AM production incident debugging a distributed system, she realized that sharing war stories makes complex tech feel less intimidating, so she started writing the kind of content she wished existed when she was learning.
What started as frustrated attempts to explain Spring Boot concepts clearly evolved into a content creation journey spanning Medium articles, YouTube videos, and a technical e-book. Varsha specializes in translating enterprise Java complexity into digestible narratives that help developers navigate modern cloud architectures without the usual overwhelm.
Her approach combines technical depth with storytelling principles, applying behavioral science to create content that transforms confusing concepts into "aha!" moments. She believes that most technical concepts aren't inherently complex, they're just poorly told stories waiting for better narrators.
At AWS, Varsha focuses on connecting the three C's: code, content, and community. She helps Java developers bridge the gap between rapidly evolving cloud services and practical solutions that work reliably in production environments.
Varsha is passionate about making the developer experience more human, one story at a time.
