Udemy
Agentic AI Engineering: Multi-Agent Systems Mastery
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
This course contains the use of artificial intelligence.
Prepare for the Google Cloud Professional Agentic Architect certification and learn to design agents you would trust in production.
Building an agent demo takes an afternoon. Running agents that serve real customers is a different job. Those agents need the right model, fresh and permission-aware data, tools that are safe to call, an evaluation suite that catches regressions, a deployment that scales, and security controls that hold even when a prompt is manipulated. The Google Cloud Professional Agentic Architect certification tests exactly those decisions, and this course teaches them.
The course follows the official exam guide from start to finish. You'll learn what each Google Cloud agent service does, and more importantly, when it is the right choice and when it is not. You'll follow one realistic company, Tidewater Mutual, a regional insurer, as it ships a low-code policy agent before hurricane season, modernizes its claims code with coding agents in a sandbox, builds and evaluates a multi-agent claims-intake system, deploys it to production, and handles a near-miss where an agent almost approves a payout it should not have.
What makes this course different
Built around the official exam guide. Every section maps to one of the five exam domains, and the course spends its time in proportion to the domain weights. Developing custom agents, the largest domain, gets the most time.
Current product names. Google renamed several services recently. The course uses the current names, such as Agent Runtime, Agent Search, and Gemini Enterprise, and points out the older names you'll still see in tutorials.
Code and console walkthroughs.
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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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