I Built an AI Agent with Gemini 🤖 | Google ADK + Vertex AI + Cloud Run

This video demonstrates building a production-ready AI agent using Google's Gemini model, Agent Development Kit (ADK), Vertex AI Agent Engine, and Google Cloud Run. The tutorial covers the complete workflow from agent design through deployment, showcasing how to leverage Google's AI infrastructure for creating intelligent, autonomous agents. Key technologies include Gemini's capabilities, Vertex AI's managed services, and Cloud Run for serverless deployment.

Key Points

• •Use Google's Agent Development Kit (ADK) to scaffold and structure AI agent projects with best practices
• •Leverage Gemini as the core LLM for agent reasoning and decision-making capabilities
• •Implement tool/function calling to enable agents to interact with external APIs and services
• •Deploy agents on Vertex AI Agent Engine for managed, scalable agent orchestration
• •Use Google Cloud Run for serverless, cost-effective deployment of agent backends
• •Design agent workflows with clear prompts, system instructions, and tool definitions
• •Implement error handling and retry logic for robust agent behavior in production
• •Monitor and debug agents using Vertex AI's built-in logging and tracing capabilities

Workflow Diagram

Concepts