Accelerate your AI deployment with confidence. Join Google and industry experts for an exclusive, hands-on masterclass on building, governing, and scaling multi-agent systems.
Date: July 07, 2026
Time: 10:00 - 13:00
Location: NYX Hotel Limassol, Corner Anexartisias str. & Christodoulou Hadjipavlou str., Limassol 3036
The AI Imperative for Engineering Leaders
Moving Generative AI from an isolated prototype into a secure, governed enterprise environment is the defining engineering challenge of the year. Technical decision-makers are no longer just asking what models can do—they are asking how to orchestrate them safely, test them rigorously, and deploy them at scale.
This interactive, deep-dive workshop bypasses the hype to focus purely on the production lifecycle. You will witness the end-to-end journey of an enterprise-grade AI agent—from the first line of Python code to its governed release inside the Gemini Enterprise ecosystem.
What We Will Build
Throughout the session, we will trace a highly relevant enterprise scenario: The Digital Growth & Risk Operations Agent.
When a business user prompts the system with, "Conversion dropped after yesterday’s campaign; investigate why and prepare the next action," you will see exactly how a multi-agent topology handles the request from comprehension to execution.
What You Will Learn
- Multi-Agent Orchestration: Watch how Sequential, Loop, and Parallel agents are built using the Python ADK to handle complex logic, retry mechanisms, and concurrent tasks.
- Secure Data Integration: See how agents securely access structured data via BigQuery and perform RAG-style retrievals over proprietary policy documents.
- Local Testing & Observability: Explore the ADK Web interface to trace the exact sequence of agent calls, tool inputs, and model execution timings before cloud deployment.
- Enterprise Governance & Safety: Discover how runtime identities control data access. We will demonstrate policy compliance checks, the difference between read-only and action-oriented tools, and how to enforce Human-in-the-Loop (HITL) approvals.
- Deployment & Ops at Scale: Inspect a live deployment in Google Cloud's Agent Platform Runtime. Analyze request counts, latency, model usage, error rates, and deep execution traces.
- End-User Adoption: Close the loop by exposing the governed, deployed agent directly to business users within the Gemini Enterprise interface.
Who Should Attend?
This session is tailored for technical decision-makers - CTOs, VPs of Engineering, Chief Architects, and Head of Data/AI—who are responsible for evaluating, building, and securing AI infrastructure within their organizations.
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