Google ADK Crash Course: The Complete Guide to Building AI Agents with Vertex AI Agent Engine - Softcover

Poisson, Peter E.

Softcover

ISBN 13: 9798290342627

Publisher: Independently published, 2025

Synopsis

In a world rapidly shifting toward autonomous workflows and intelligent automation, traditional apps are no longer enough. Whether you're a developer, ML engineer, or tech enthusiast, you’ve likely asked: How do I build agents that actually do things not just chat? That’s where Google ADK (Agent Development Kit) and Vertex AI’s Agent Engine come in giving you the power to build structured, tool-using, memory-enabled agents that can reason, decide, and act at scale.

Google ADK Crash Course is your complete, hands-on guide to mastering agentic development with Google’s cutting-edge ecosystem. From your first CLI command to deploying cloud-native multi-agent systems, this book walks you through the real tools, real code, and real thinking behind modern agentic AI. You’ll learn how to design smart tools, manage memory and state, coordinate teams of agents, and build production-ready systems that integrate deeply with enterprise APIs, databases, and monitoring platforms.

By the time you finish, you won’t just understand how agents work you’ll be building agents that work.

What You’ll Gain Inside:

• Master the full ADK toolchain to create, debug, and deploy AI agents with structured reasoning and real-world capabilities.

• Build agents with memory and tool-use, using schemas, context, and logic to respond intelligently and reliably.

• Design multi-agent architectures where agents collaborate, coordinate tasks, and scale across workflows.

• Deploy to Vertex AI Agent Engine with confidence leveraging cloud-native features, observability, and scaling best practices.

• Access real-world agent templates, including customer support bots, research assistants, knowledge retrievers, and automation flows.

Start building powerful AI agents today grab your copy and lead the future of intelligent software development.

Edition details

• Publisher: Independently published
• Publication date: 2025
• Language: English
• ISBN 13: 9798290342627
• Binding: Paperback
• Number of pages: 214