Overview

The field of artificial intelligence has undergone remarkable transformation in recent years, shifting from narrow, task-specific systems to powerful, general-purpose models capable of understanding and generating human-like responses across diverse domains. At the heart of this evolution lies the emergence of agentic AI-systems that do not merely respond to queries but actively pursue goals, make decisions, reason through complex problems, and interact with external tools and environments to achieve real-world outcomes. This book, Google Gemini Agents Crash Course, serves as a comprehensive guide to building, deploying, and automating intelligent AI agents using Google's flagship Gemini family of models. As of late 2025, the Gemini series represents one of the most advanced multimodal large language models available, with the recent releases of Gemini 3 Pro, Gemini 3 Flash, and supporting features that emphasize speed, reasoning depth, and agentic capabilities. These models enable developers, automation enthusiasts, and business professionals to create autonomous agents that can handle tasks ranging from simple data retrieval to sophisticated multi-step workflows involving tool calling, multimodal inputs, and long-term planning.

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