[Chicago] Agentic AI Builder Lab with Google Cloud

Join Google and AICamp for an intensive, 90-minute in-person build lab where theory translates directly into functional software. Most AI tutorials stop at simple single-turn prompts, but scalable systems require autonomous agents that reason over live data, manage persistent context, and execute complex multi-step tasks. In this hands-on workshop, you will step beyond conversational interfaces to architect, configure, and deploy next-generation autonomous agentic systems using Google Cloud. Bring your laptop! This is an active engineering session with zero local setup required. You will leave with a fully functioning system running in your cloud environment. What We'll Do: Autonomous Task Orchestration: Configure multi-step agent workflows that plan, reason, and act across complex task flows. State & Tool Integration: Connect agent architectures to cloud tools, execution environments, and live datasets. Resilient System Design: Implement robust patterns built to manage complex runtime inputs, long-running processes, and error recovery. Agenda: • 5:30pm~6:00pm: Checkin, food and networking • 6:00pm~6:30pm: Tech talk & QA • 6:30pm~8:00pm: Hands-on code labs/build your own app • 8:00pm~8:30pm: Demo, Open discussion and Mixer Hands-on Workshop: Building Resilient Asynchronous Agents Moving beyond conversational chatbots requires systems that do more than predict the next token. Real-world autonomous architectures must plan multi-step operations, interface with external tools, maintain state across asynchronous operations, and recover cleanly from runtime failures. In this intensive 90-minute, in-person masterclass hosted by Google and AICamp, you will move directly into active engineering. Working entirely inside Google Cloud Shell, you will build and deploy a next-generation autonomous agentic system from the ground up—wiring dynamic tool calling, state management, and resilient multi-step orchestration into a cohesive, runnable architecture. No slides, no abstract…