Google Cloud Professional Agentic Architect Practical Guide

Are you preparing for the Google Cloud Professional Agentic Architect certification? Do you want to understand how to design, build, deploy, secure, and manage enterprise-grade AI agents using Google Cloud? How to build No-Code & Low-Code agents to coding advanced ADK agents?

This course provides a comprehensive, practical learning experience covering the key technologies and architectural concepts in the Google Cloud Agentic AI ecosystem.

This course takes you through the complete lifecycle of enterprise AI agents — from low-code agent development to custom multi-agent architectures, deployment, evaluation, security, and governance.

What you will learn

1. Introduction to Agentic AI

• Understand AI agents, their components, and different agent architectures.

• Explore Google's products across the agent development lifecycle.

• Understand model selection and multi-agent systems.

2. Google No-Code & Low-Code Agents

• Explore Gemini Enterprise and its agent capabilities.

• Understand Google's low-code agent development ecosystem.

• Build agents using CX Agent Studio.

• Explore end-to-end agent building and integration.

3. Building Custom Agents with Google ADK

• Set up your development environment and build your first ADK agent.

• Work with tools, function calling, and MCP servers.

• Implement multi-agent systems and understand A2A communication.

• Manage agent sessions, state, and memory.

• Explore Google Cloud MCP servers and Agents CLI.

4. Agent Deployment & Observability

• Understand Google Cloud Agent Runtime.

• Deploy agents using Cloud Run and Google Kubernetes Engine.

• Compare different agent deployment architectures.

• Understand agent observability in Google Cloud.

5. Agent Security & Governance

• Understand the architecture of enterprise agent security.

• Explore Agent Registry and Agent Identity.

• Implement security using Model Armor.

• Understand Agent Gateway and Agent Policy.

6. Vector Search & RAG

• Explore Google Cloud tools for vector search and RAG.

• Understand Vertex AI Vector Search and RAG Engine.

• Explore Agent Search and Agent Retrieval.

7. Agent Evaluation

• Understand how to evaluate AI agents.

• Evaluate final responses and agent execution trajectories.

• Work with golden datasets and evaluation rubrics.

• Understand autoraters and custom autoraters.

• Explore offline and online evaluation workflows.

8. Coding Agents with Antigravity

• Explore Google Antigravity and its development environment.

• Work with Antigravity IDE and CLI.

• Use Agents CLI to build, manage, and optimize deployed agents.

Whether you are a Google Cloud developer, AI engineer, cloud architect, or technology professional looking to specialize in Agentic AI, this course will help you develop the knowledge and practical skills needed to work with Google's enterprise agent ecosystem.

Start your journey towards becoming a Google Cloud Professional Agentic Architect!