Google ADK Tutorial | Build & Run Google Search Agent in Qwiklabs | Vertex AI & Gemini Setup (2026)

This tutorial guides developers through building and deploying a Google Search Agent using Google Cloud's Agent Development Kit (ADK) on Vertex AI with Gemini integration. The lab covers setting up the GCP environment, configuring the agent with search capabilities, and running it through Qwiklabs. It's part 2 of a 6-part series on deploying AI agents on Google Cloud, focusing on practical implementation and hands-on execution.

Key Points

• •Set up Google Cloud Project (GCP) environment with necessary APIs enabled for Vertex AI and Gemini
• •Install and configure Google ADK (Agent Development Kit) for agent development
• •Integrate Gemini LLM with the agent for natural language understanding and reasoning
• •Configure search capabilities to enable the agent to query and retrieve information
• •Deploy the agent on Vertex AI infrastructure using Qwiklabs environment
• •Test and validate agent responses with search queries
• •Understand the workflow of agent creation, configuration, and deployment on Google Cloud
• •Learn authentication and authorization setup for agent-to-service communication

Workflow Diagram

Concepts