Library / Artificial Intelligence
Google Cloud Professional Agentic Architect Practical Guide
On Udemy
About this course
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 learn1. 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 ADKSet 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.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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