Agentic AI on Google Gemini Enterprise: Platform, Models & Data

Volume 3 of The Agentic AI Handbook explores Google's full-stack bet on the agentic era, providing a comprehensive guide to deploying AI agents within Gemini Enterprise. This book details the platform's reference architecture and prebuilt tools like Deep Research and NotebookLM Enterprise. Readers will leverage the Gemini 3.5 model family, including Pro for frontier reasoning and Flash for low latency, while mastering function calling, multimodal grounding, and the real-time Gemini Live API.

Moving beyond the basics, this volume dives into enterprise search, showing how to connect data stores, build knowledge graphs, and implement permissions-aware retrieval. It explores the Antigravity agent-first IDE for orchestrating agents at scale, alongside connections to the Google Data Cloud. Readers will learn to deploy BigQuery data agents, conversational analytics in Looker, and integrations with Spanner and Cloud SQL.

Designed for cloud architects, data engineers, and technical leaders, this guide is essential for building production-ready AI. It concludes with specialized workflows for software engineering, exploring Gemini Code Assist, the Jules asynchronous coding agent, Gemini Cloud Assist, and CI/CD pipelines for agents. Whether publishing custom agents to your gallery or navigating the partner marketplace, professionals will find the blueprints needed to master Gemini Enterprise.