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A two-phased program designed to take your live product from MVP to a defensible, AI-first leader. Phase 1 (Online Immersion): June 2–11, 202611:00 AM–12:30 PM IST Phase 2 (Offline Immersion @ Google Bengaluru | Invite Only): June 26, 202610:00 AM–7:00 PM IST

Join Google Cloud product leaders for the latest Gemini Enterprise AI updates - including Gemini Enterprise Agent Platform and Gemini Enterprise for Customer Experience. 🗓️ June 24, 2026 🕒 Europe, Middle East, Africa: 11:00 AM–12:00 PM CEST 🕒 North America: 10:00 AM–11:00 AM PDT 🕒 South America: 2:00 PM–3:00 PM GMT-3

Join this hands-on workshop for an immersive coding adventure where you will build cutting-edge multimodal AI applications to navigate your way back home from outer space! From generating your unique space explorer identity to wiring a real-time biometric neural sync to flying a rescue drone, you will get hands-on experience with Google's most powerful AI models and frameworks. This adventure will equip you with frameworks and tooling that are directly applicable to streamlining and enhancing your daily work tasks.

Ready to build smarter AI agents? This session explores how Spanner Graph can provide critical context, and graph intelligence capabilities for your agentic AI applications. We'll dive into how Spanner Graph simplifies working with highly connected data, helping you extract deep, actionable insights for your most mission-critical workloads. Discover firsthand how companies are leveraging Spanner Graph to combine graph, text, and vector data on Spanner, along with native integration with BigQuery Graph at scale to  deliver delightful customer experiences.

Building production-grade AI agents requires moving past simple prompt chains. This 1-hour hands-on workshop presents a pure vibe-coding experience inside the Antigravity coding assistant. Utilizing Agents CLI context skills, developers prompt Antigravity to scaffold projects, write ADK 2.0 graph code, run evaluation rubrics locally, and deploy to Google Cloud Agent Runtime without writing boilerplate or manually configuring files.

Building AI Applications with AlloyDB AI in SVL

Tired of agentic AI that fails or wastes API budgets? Building reliable, production-ready agents requires deterministic planning, not probabilistic guesswork. This session explores the full spectrum of planning patterns—workflows, HTN, GOAP, utility AI, and supervisor—and how to combine them into robust, hybrid architectures. Learn how to maintain control over agent behavior by making the plan the source of truth.

Threats are evolving with AI. Learn how to defend against them.