Library / Artificial Intelligence
Google Cloud Professional Agentic Architect — Complete Exam
On Udemy
About this course
"This course contains the use of artificial intelligence" for images generation.
The Google Cloud Professional Agentic Architect certification is Google's newest professional-level credential — and unlike any other Google Cloud exam, it has TWO parts: a proctored multiple-choice exam on architecture and design decisions, plus hands-on labs where you prove you can actually build, deploy, and secure agentic AI workflows.
This course teaches you everything the exam tests, in the order the concepts build on each other:- Build agents with low-code tools — Gemini Enterprise, Agent Designer, CX Agent Studio- Use coding agents — Antigravity, MCP servers, secure sandboxes- Develop custom agents with the ADK — the biggest exam domain (33%): model selection, sessions & memory, RAG, tools, MCP, skills, orchestration- Evaluate and deploy — golden datasets, ADK eval tooling, CI/CD, Agent Runtime vs Cloud Run vs GKE, observability, FinOps- Secure and govern — Agent Identity, principal access boundaries, Agent Gateway, Model Armor, guardrails
Every lecture is a focused, animated explainer video with professional narration and captions. Each section ends with a quiz drawn from real exam-style questions, and every section includes downloadable slide decks of all diagrams. You also get 6 hands-on lab guides that walk you through building, evaluating, deploying, and securing agents in your own Google Cloud project — practical practice for the exam's hands-on labs.
Who this is for: experienced developers and architects (Google recommends 3+ years in cloud including 1+ year building agentic solutions) preparing for the Professional Agentic Architect exam.
Disclaimer: This is an independent exam-preparation course and is not affiliated with, endorsed by, or sponsored by Google. Google Cloud and related marks and logos are trademarks of Google LLC.
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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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