Build and Deploy Agents in Production: Free Google AI Course

An agent prototype and an operated service present different questions. Build and Deploy Agents in Production introduces ways to structure agents with Google’s Agent Development Kit, then connects those designs to hosting, security and observability considerations. The course offers a broad view of the route from an agent idea toward a managed application.

Google advertises about forty-five minutes of study. The reviewed course uses a video, a linked resource and a quiz; its production-oriented title does not mean that one short learning session makes an application production-ready.

Course at a glance

What you’ll learn

• Explore hierarchical agent structures in Google’s Agent Development Kit.
• Understand the place of deterministic workflow agents in an agent application.
• Compare hosting considerations involving Cloud Run and Google Kubernetes Engine.
• Recognize security and observability as part of operating an agent service.

Skills you’ll gain

• Agent architecture awareness
• Workflow-pattern selection
• Hosting evaluation
• Production-readiness planning

Choose the structure before multiplying agents

A multi-agent application needs a reason for its structure. The course connects agent hierarchies with workflow patterns, giving learners vocabulary for separating responsibilities and coordinating work. Focus on the purpose of a pattern rather than treating a larger number of agents as an automatic improvement.

For optional practice, sketch a simple application with one user request and a small number of responsibilities. Identify which steps need model judgment and which should follow predictable rules. This is an independent architecture exercise, not an additional provider assignment or proof that a particular design will work reliably.

Treat hosting as an operational decision

Cloud Run and GKE represent hosting contexts that come with their own operating choices. During the course, distinguish application structure from where it runs. A platform choice needs to fit requirements such as deployment, access control, monitoring and the team’s ability to maintain the service.

A useful personal comparison lists the questions you would ask before launching: who can invoke the agent, what it may access, how failures are visible and how a version can be rolled back. The course’s overview supports that conversation without promising to complete every configuration or validate a production environment on your behalf.

Plan how to observe and review the system

An agent can return a plausible answer while missing a required step or using a tool in an unintended way. Security and observability help make those behaviors reviewable. Think about the evidence an operator would need to understand a failure, and about which outputs or actions require human approval.

The course suits learners moving beyond a basic agent demonstration and seeking a compact production overview. Prior familiarity with software services and AI concepts can help. For a more procedural first-deployment route, compare the separate Deploy Your First Agent course; this listing emphasizes architecture and operational context rather than a single hosting walkthrough.

Free learning and practical access

The complete advertised instruction and quiz are free with a free Google Skills account. Running models, hosting an application on Cloud Run or GKE and other live cloud resources have separate access conditions and costs. Studying the course requires no paid subscription, card or trial. No unrestricted hosting environment or production security review is included. Google advertises a course completion badge after the required activities. It is not a professional certification or academic credit.

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