Deploy an Agentic AI Application on GKE with ADK and Vertex AI

Agentic AI applications are rapidly transforming how we build intelligent systems, combining reasoning, planning, and execution capabilities. In this tutorial, you’ll learn how to deploy an agentic AI application on Google Kubernetes Engine (GKE) using the Agent Development Kit (ADK) and Vertex AI.

Objectives

• Set up your Google Cloud environment.
• Build a container image for your agent.
• Deploy the agent to a GKE cluster.
• Test your deployed agent.

Prerequisites

Before you start, ensure you have familiarity with

• GKE (Google Kubernetes Engine)
• Containerization with Docker
• Vertex AI concepts and API usage

What is the Agent Development Kit (ADK)?

The Google Agent Development Kit (ADK) is a flexible and modular framework for building agentic AI applications. While it’s optimized for Gemini models and the Google ecosystem, it remains:

• Model-agnostic — works with various models
• Deployment-independent — supports multiple environments
• Framework-compatible…