PAA 11/34: Building Agents with ADK | Google Cloud Professional Agentic Architect

This content covers the Agent Development Kit (ADK) for building agents on Google Cloud, a key topic for the Professional Agentic Architect exam. ADK provides a framework and tools for developing, testing, and deploying AI agents with built-in capabilities for tool integration, state management, and orchestration. The module explains core concepts, architecture patterns, and best practices for agent development using Google Cloud's agentic AI platform.

Key Points

• •ADK (Agent Development Kit) is Google Cloud's framework for building production-ready AI agents with standardized patterns and tools
• •Core ADK components include agent runtime, tool integration layer, state management, and orchestration capabilities
• •Agents built with ADK can integrate with external APIs, databases, and services through a unified tool interface
• •ADK provides built-in support for multi-turn conversations, context preservation, and agent memory management
• •Tool definitions in ADK use structured schemas (OpenAPI/JSON Schema) for clear agent understanding and execution
• •ADK enables testing and validation of agent behavior before production deployment
• •State management in ADK handles conversation history, agent context, and execution traces for debugging
• •ADK supports both synchronous and asynchronous tool execution patterns for flexible agent workflows
• •Integration with Google Cloud services (Vertex AI, Firestore, Cloud Functions) is streamlined through ADK abstractions
• •ADK follows agentic AI best practices including safety guardrails, error handling, and graceful degradation

Workflow Diagram

Concepts