Join the GDG Cloud Zürich to learn AI skills during ​a practical workshop alongside your local developer community. ​Use Google's integrated AI stack to solve real-world challenges, following a practical path from your first click to a fully deployed application.

​Peer-to-Peer Guidance by the Google Developer Organizers and local leads who share their honest experience building in the AI ecosystem. Google Developer Groups (GDGs) bring together local developers and technologists, from beginner to advanced, to connect, learn, and grow with Google's technologies and experts.

This workshop is intended for developers, architects, and engineers interested in Google Cloud technologies.

Agenda

⏰ 17:00: Doors open - please arrive on time
⏰ 17:15: Workshop starts (late entry may not be possible due to time constraints)
⏰ 18:45: Workshop ends. Participants join the tech talks.
⏰ 19:00: Welcome - Erin, Alessandro (organizers)
⏰ 19:05: Talk 1 – From DevOps to AI-Driven Software Delivery: The Sanitas journey – Norwin & Patrick, Sanitas
⏰ 19:30: Talk 2 – Directly from Vegas, the SRE extension, baked in Zürich, is live! – Ricc & Ramón, Google
⏰ 20:05: Networking & Apéro – Supported by Google Cloud, Zencore, ABB, and Datwave

Workshop details

Track 1

Title: Design-to-Code with Antigravity and Stitch MCP
Description: Build a production-ready website by bridging AI-driven design with an agent-first development environment. You will use Google Stitch to generate a high-fidelity UI, then connect it to the Antigravity IDE via the Model Context Protocol (MCP). Finally, you will use an autonomous agent to fetch the "Design DNA" and implement a pixel-perfect React application.

Track 2

Title: Build a Multimodal AI Agent with Graph RAG, ADK & Memory Bank
Description: Build an intelligent disaster response system by combining a graph database with multimodal AI and multi-agent orchestration. You will use Cloud Spanner Graph and Gemini embeddings to build a Survivor Network Database with hybrid search, then visualize the complex relationships using a React and Three.js frontend. Finally, you will use the Agent Development Kit (ADK) to coordinate specialized workflows and integrate the Vertex AI Memory Bank to enable long-term, personalized interactions.