Building Enterprise-Grade AI:

From Code to Production Reality

CY Workshop social media visual

 

Accelerate your AI deployment with confidence. Join Cloud Office and Google 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

Agenda:

  • 09:30–10:00: Registration & Coffee
  • 10:00–11:45: Technical Masterclass: From Agents to Digital Employees (Gemini Enterprise & ADK in practice) - Victor Tchervenobrejki, Head of AI & ML, Cloud Office
  • 11:45–12:00: Closing Remarks and Q&A - experts from Google and Cloud Office
  • 12:00–13:00: Networking Lunch

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

We will build a practical blueprint for production-grade AI agents.

Using one realistic enterprise scenario as a running example, we will show how a multi-agent system routes work, uses tools and data, retrieves knowledge, applies policy checks, requires human approval, and moves from local development to governed cloud deployment.

The use case is only the vehicle. The real focus is the reusable architecture: ADK, Gemini Enterprise Agent Platform, orchestration, RAG, observability, evaluation, governance, and production operations.

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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