Overview

AI is moving beyond simple prompts and single responses. The next generation of applications is built around agents-systems that can plan, reason, take action, and adapt over time. Building AI Agents with Vertex AI is a hands-on guide for developers and technical builders who want to design and deploy autonomous AI agents using Google's Vertex AI platform. This book focuses on real implementation strategies, showing you how to move from basic model calls to intelligent workflows that can reason, coordinate tasks, and operate reliably in production environments. Rather than abstract theory, you'll learn how to build agents that solve real problems. What you'll learn Core concepts behind AI agents and autonomous systems Using Vertex AI to build, deploy, and manage agent-driven applications Designing reasoning chains and multi-step decision workflows Connecting agents to tools, APIs, and data sources Managing state, memory, and context effectively Evaluating agent behavior, reliability, and performance Applying best practices for safety, control, and scalability What makes this book practicalMany discussions of AI agents remain theoretical. This book emphasizes engineering discipline-clear architectures, repeatable patterns, and decision-making frameworks that work in real projects. You'll learn how to balance autonomy with oversight, how to test and refine agent behavior, and how to avoid common pitfalls that lead to unpredictable or fragile systems. Written with 2026-ready tooling and workflows in mind, this guide prepares you to build agent-based systems that scale as your needs grow. Who this book is for Software engineers and AI developers Platform and ML engineers using Vertex AI Technical architects exploring agent-based systems Teams building intelligent automation and workflows If you want to move beyond demos and start building dependable AI agents with real reasoning and autonomy, Building AI Agents with Vertex AI gives you the practical knowledge to do it right.

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