James Ward
Developer Advocate for GCP
James Ward is a software developer who shares what he learns with others through 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.Presentations
Hands-On Workshop: Building Agents with Spring AI, MCP, Java, and Amazon Bedrock
In this hands-on workshop you will learn how to build & deploy production-ready AI Agents. You will use Spring AI, MCP, Java, and Amazon Bedrock and learn how to deal with production concerns like observability and security. We will start with basic prompting then expand with chat memory, RAG, and integration through MCP. You will be provided a provisioned cloud environment and step-by-step instructions.
Bring your laptop, walk away with the skills to build your own AI Agents with Java.
Hands-On Workshop: Building Agents with Spring AI, MCP, Java, and Amazon Bedrock
In this hands-on workshop you will learn how to build & deploy production-ready AI Agents. You will use Spring AI, MCP, Java, and Amazon Bedrock and learn how to deal with production concerns like observability and security. We will start with basic prompting then expand with chat memory, RAG, and integration through MCP. You will be provided a provisioned cloud environment and step-by-step instructions.
Bring your laptop, walk away with the skills to build your own AI Agents with Java.
Deep dive into Model Context Protocol (MCP)
The Model Context Protocol (MCP) standardizes how AI agents connect to external data and tools.
Moving beyond local experiments, this talk explores advanced MCP architectures: local vs. remote server deployments, advanced human-in-the-loop features, and hosting and scaling strategies for remote MCP servers. With Java code we will walk through MCP features, highlighting how to use them in AI agents.