A hands-on workshop where participants built a real AI chat app and layered in enterprise-grade security using Google Cloud's Model Armor. Covered real-world threats like prompt injection and system prompt hijacking, implemented Model Armor as an independent security layer, then containerized and deployed the app to Cloud Run.
Walked developers through building secure AI applications using Google Cloud's Model Armor. Covered practical implementation of prompt and response screening, live API demos, and real-world patterns for protecting LLM-powered apps from injection attacks and harmful content.
Covered rapid deployment of AI agents using Google's Agent Development Kit (ADK) and Cloud Run. Walked through the architecture of multi-agent systems, live deployment demos, and practical patterns for getting agentic AI apps into production quickly.
A hands-on coding workshop where participants built their own AI Event Planner Agent from scratch using Google's ADK and Gemini models. Covered AI agent fundamentals, Google Cloud Platform integration, and the full development lifecycle from local testing to deployment.