Google ADK Geo Validator Tutorial | Run ADK CLI, Configure .env & Complete Qwiklabs Lab | Vertex AI
In this video, I continue the Google Cloud Skills Boost Agent Development Kit (ADK) series by completing the next lab tasks. What you'll learn: Verify the Google Search Agent using the ADK CLI Run adk run from the project directory Test the agent with your own prompts instead of only following the lab Observe how the agent correctly interprets search intent Complete the Google Search Agent task Start the Geo Validator project Enable hidden files in the editor Create and configure the .env file Configure Google Cloud Project ID and Vertex AI settings Open and understand agent.py Navigate the ADK project structure Tips and observations while working through the lab In this walkthrough, I don't just repeat the lab instructions—I also test the AI agent with my own queries to understand how it behaves in real-world scenarios. This practical approach helps you learn ADK more effectively and understand how AI agents respond beyond predefined examples. Topics covered: Google Agent Development Kit (ADK) Google Cloud Skills Boost Qwiklabs Geo Validator Google Search Agent Vertex AI Gemini Models ADK CLI Python AI Agents Environment Variables (.env) Google Cloud Project Configuration Agent Development Hands-on Google Cloud Lab Generative AI AI Agent Development If you're preparing for Google Cloud labs or learning how to build AI agents with ADK, this series will guide you step by step.
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