Hands-On Guide to Google ADK: Practical AI Agent Development with Gemini Models

$15.70
by Todd Chandler

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Hands-On Guide to Google ADK: Practical AI Agent Development with Gemini Models Ever wondered how to build AI agents that think, act, and integrate seamlessly with Google Cloud services? Summary Hands-On Guide to Google ADK: Practical AI Agent Development with Gemini Models teaches you to design, code, test, and deploy production-quality AI agents using Google’s Agent Development Kit and cutting-edge Gemini models. You’ll move from your first LlmAgent to multi-agent workflows, mastering prompt engineering, tool integration, and robust evaluation—all through clear, runnable examples. What Sets This Book Apart? This guide focuses on real-world application and developer productivity. You’ll explore: Chapter 1 – ADK Architecture & Setup : Grasp ADK’s modular design, install the toolkit, and configure your environment for immediate success. - Chapter 2 – Agent Types & Tools : Compare Sequential, Parallel, and Loop agents—and learn to plug in pre-built and custom tools for databases, APIs, and more. - Chapter 3 – Gemini Models & Prompts : Pick the right Gemini variant, connect it securely, craft template-driven and few-shot prompts, and handle image inputs. - Chapter 4 – Multi-Agent Orchestration : Architect complex pipelines, broker dynamic work, and maintain shared context across agents. - Chapter 5 – Testing & Evaluation : Automate behavior checks with ADK’s evaluation suite, write unit and integration tests, and build metrics dashboards. - Chapter 6 – Deployment & CI/CD : Containerize with Docker, deploy to Cloud Run and Vertex AI Agent Engine, and automate releases with CI/CD pipelines. - Chapter 7 – Cloud Integrations : Connect agents to BigQuery, Datastore, Apigee, Cloud Functions, and real-time pipelines with Pub/Sub and Dataflow. - Chapter 8 – Security & Compliance : Enforce authentication, RBAC, encryption, and audit logging to meet enterprise standards. - Chapter 9 – Performance & Cost : Profile latency and throughput, configure autoscaling and load balancers, implement caching, and manage cloud expenses. Each chapter delivers hands-on code you can copy, paste, and run immediately—no stubs, no theory-only examples. Ready to build AI agents that scale, secure, and perform? Grab your copy of Hands-On Guide to Google ADK today and start crafting intelligent assistants that drive real business value.

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