This document in the Architecture Center provides links to architecture guides that you can use to build and deploy agentic AI applications in Google Cloud.
| Architecture guide | Description |
|---|---|
| Administer interactive learning |
A high-level architecture to design a single-agent AI system that assesses a user's knowledge on a specific topic and generates a personalized learning experience. |
| Automate data science workflows |
A high-level architecture to design a multi-agent AI system that automates complex data analytics and machine learning tasks. |
| Orchestrate access to disparate enterprise systems |
A high-level architecture to design an agentic AI system that orchestrates interactions with disparate enterprise systems. |
| Choose a design pattern for your agentic AI system |
A design guide to help you choose a design pattern for your agentic AI system. |
| Choose your agentic AI architecture components |
A design guide to help you choose architectural components for your agentic AI applications in Google Cloud. |
| Multi-agent AI system in Google Cloud |
A reference architecture to help you design robust multi-agent AI systems in Google Cloud. |
| Single-agent AI system using ADK and Cloud Run |
A reference architecture to help you design a single-agent AI system by using Agent Development Kit (ADK) and Cloud Run with Gemini and Model Context Protocol (MCP). |