Udemy - Google Cloud Professional Agentic Architect Exam Guide

Google Cloud Professional Agentic Architect Exam Guide

https://WebToolTip.com

Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 31m | Size: 869.41 MB

Build, evaluate, deploy and secure AI agents on Google Cloud. Full coverage of all 5 exam domains, in the official order

What you'll learn
Build AI agents on Google Cloud two ways — low-code with Gemini Enterprise, and in code with the Agent Development Kit (ADK)
Design production RAG pipelines: embeddings, chunking, similarity scoring, reranking, Vector Search and Agent Retrieval
Orchestrate multi-agent systems using MCP and Agent2Agent (A2A), with sequential, parallel and graph workflows
Evaluate agents properly — golden datasets, trajectory vs. response, ADK evalset, autoraters and continuous evaluation
Deploy and scale agents on Agent Runtime, Cloud Run and GKE, and choose correctly between them
Secure agentic workflows against prompt injection using Model Armor, Agent Gateway, Agent Identity and PAB policies
Use coding agents effectively — Antigravity, Claude Code on Google Cloud, MCP servers, custom skills and secure sandboxes
Configure agent memory and state with managed sessions and Agent Platform Memory Bank
Troubleshoot real agent failures: drift, reasoning loops, tool latency, logic errors and hallucinations
Cover 100% of the Professional Agentic Architect exam guide, section by section, in Google's own order

Requirements
Comfortable writing code — Python especially. This is a professional-level certification, not an entry-level one.
Working knowledge of Google Cloud fundamentals: IAM, Cloud Storage, and at least one database service
Basic familiarity with large language models and how APIs work
A Google Cloud account is useful for following along, though the theory lectures stand on their own
No prior agent-building experience needed — every concept is built up from first principles