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Agent Development Kit

on Google Cloud Platform

Agent Development Kit
This book is 100% completeLast updated on 2026-08-09
Sudhanshu Jaiswal

What if your AI didn’t just answer questions—but solved problems?

Imagine an AI that doesn’t just chat—it plans, reasons, and takes action. An AI that can fetch data, run diagnostics, collaborate with other agents, and even handle your most tedious tasks—all while you focus on what matters.Google’s Agent Development Kit (ADK) makes this possible,

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About

About the Book

Unlock the Future of AI Agents—Today

Artificial Intelligence is evolving from chatbots to autonomous agents—software that can reason, plan, use tools, and take action on your behalf. Google’s Agent Development Kit (ADK) is the open-source framework that makes building these agents accessible, powerful, and production-ready. Paired with Google Cloud Platform (GCP), ADK transforms how you create, deploy, and scale AI systems that don’t just respond—they act.

Why This Book?
This practical, hands-on guide demystifies ADK and GCP, empowering you to:
Understand the core concepts—agents, tools, memory, and orchestration—without needing a PhD.
Build your first agent in under 50 lines of code and deploy it to the cloud.
Design multi-agent systems that collaborate like a high-functioning team.
Leverage GCP’s superpowers—Vertex AI, Cloud Run, Firestore, and more—to create scalable, observable, and secure agents.
Tackle real-world use cases, like a real-time insurance claims assistant, with step-by-step architecture and deployment.
✅ Avoid common pitfalls—from cost surprises to overcomplicating agent design—and adopt best practices for production-grade systems.

Who Is This For?

  • Builders: Developers who want to create AI agents that do things, not just say things.
  • Beginners: Those new to AI but eager to learn by building.
  • The Curious: Anyone intrigued by the next wave of AI—autonomous, tool-using, collaborative agents.

What’s Inside?

  • Self-contained chapters: Jump to what you need, whether it’s core concepts, architecture, or deployment.
  • Real-world examples: From a simple weather agent to a production-ready insurance claims system.
  • GCP integration deep dives: Use Vertex AI, Cloud Run, Firestore, and Pub/Sub to supercharge your agents.
  • Best practices & pitfalls: Learn from the mistakes of early adopters to build reliable, cost-effective, and scalable agents.
  • The road ahead: Explore emerging trends like Agent-to-Agent (A2A) protocols and Model Context Protocol (MCP).

No Prior Agent Experience Required
If you can write a little Python and are curious about how modern AI systems work, this book is your guided tour of ADK and GCP. By the end, you’ll not only understand how to build agents—you’ll be ready to deploy them in the real world.

Start small. Build fast. Scale with confidence. Your journey to building the next generation of AI agents begins here.

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Artificial IntelligenceRetrieval Augmented GenerationAgentic Engineering

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Author

About the Author

Sudhanshu Jaiswal

DevOps Visionary | Cloud Architect | Automation Specialist.

I simplify complex infrastructure with Kubernetes, IaC, and robust CI/CD. Proficient in GCP/AWS and a pioneer in n8n workflow automation. Open-Source Advocate and a seasoned engineer dedicated to building resilient, scalable systems.

During my leisure time , I'm writing Hindi poetry or supporting my wife's @deepasoni6261's cooking youtube channel.

Contents

Table of Contents

Agent Development Kit on Google Cloud Platform - Table of Contents

Agent Development Kit on Google Cloud Platform

A Compact Field Guide for Builders, Beginners & the Curious

PREFACE

Before We Begin

Every great technology starts as something that sounds like science fiction and ends up feeling like common sense. This book is your guide to building AI agents that reason, plan, and act—using Google’s ADK and GCP.

📖 HOW TO READ THIS BOOK

Each chapter is self-contained. Jump to the chapter that answers your current question, or read front-to-back for a complete understanding.

CONTENTS

What's Inside

Chapter 01: The Big Picture — What Is ADK and Why GCP? Understand the vision behind ADK and how GCP supercharges your agents with scalability, reliability, and integration. Chapter 02: Core Concepts — Agents, Tools, and Memory Dive into the fundamental building blocks: agents as decision-makers, tools as their hands, and memory as their notebook. Chapter 03: Architecture — How ADK Is Wired Together Explore ADK’s architecture through the analogy of a newsroom, with runners, agents, and event buses. Chapter 04: Getting Started — Your First Agent Build and run your first agent in under 50 lines of code. A hands-on introduction to ADK. Chapter 05: Multi-Agent Systems — Agents Talking to Agents Learn how to design systems where multiple agents collaborate, specialize, and delegate tasks. Chapter 06: GCP Services — ADK's Superpower Unlocked Unlock the power of Vertex AI, Cloud Run, Firestore, and more to deploy and scale your agents. Chapter 07: Production Use Case — Real-Time Claims Assistant A deep dive into building a real-world, production-ready AI agent for processing insurance claims. Chapter 08: Best Practices & Pitfalls Avoid common mistakes and adopt best practices for building reliable, cost-effective agents. Chapter 09: What's Next — The Road Ahead Explore the future of agentic AI, including A2A protocols, MCP integration, and long-running agents.

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