hands-on lab

Creating Agentic Reasoning & Action with Agent Designer on Google Cloud

Difficulty: Beginner

Duration: Up to 1 hour and 30 minutes

Students: 7

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On average, students complete this lab in2h 10m

Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.

Learn and validateUse validations to check your solutions every step of the way.

See resultsTrack your knowledge and monitor your progress.

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Description

Agentic AI reasons toward a goal and decides when to use tools available. It also may ground answers in external evidence rather than guessing. You can apply agentic patterns with or without a formal “agent” construct.

In this hands-on lab, you’ll use Gemini Enterprise Agent Platform Studio to configure a Gemini Enterprise Agent Platform Agent to perform Reasoning and Action in Agent Builder. The agent will ask follow-up questions to assist in reasoning and, using a set of tools, construct a query to fulfill your request. Sub-Agents will be used to run the tools.

Learning objectives

Upon completion of this lab, you will be able to:

Understand how agentic AI differs from a traditional chatbot by including the roles of reasoning and action in intelligent systems.
Navigate the Gemini Enterprise Agent Platform ecosystem (Gemini Enterprise Agent Platform Studio, Agent Builder) and describe how these components integrate within Google Cloud.
Create and configure a first agent using Gemini Enterprise Agent Platform Agent Builder (Agent Designer), including defining agent identity, instructions, model and basic tool/grounding behavior.
Apply best practices for designing and scoping a first agent (clear purpose, bounded behavior, observable outcomes) and understand how templates/connectors accelerate future development.