Build AI Agents with Google ADK: Gemini, Memory & Vertex AI

Build Practical AI Agents with Google ADK, Gemini & Python

Chatbots can answer questions. AI agents can do much more.

They can use tools, access information, maintain context, remember previous interactions, coordinate specialized agents, and complete multi-step tasks.

In this hands-on course, you’ll learn how to build practical AI agents using Google’s Agent Development Kit (ADK), Gemini, and Python—starting with a simple agent and progressively building toward a multi-agent application ready for deployment on Google Cloud Run.

You don’t need previous experience with AI agents or agent frameworks. If you know basic Python and want a structured, practical introduction to Google ADK, this course takes you from your first working agent to tools, sessions, state, memory, multi-agent workflows, and cloud deployment.

What You’ll Learn

By the end of the course, you’ll be able to:

• Build AI agents with Google ADK and Gemini

• Create and connect custom tools

• Use built-in tools and give agents access to external capabilities

• Manage sessions, state, and context

• Implement short-term memory and persistent long-term memory

• Design multi-agent systems with specialized agents

• Coordinate agents to complete multi-step workflows

• Understand the architecture and core concepts behind Google ADK

• Prepare and deploy AI agent applications to Google Cloud Run

• Adapt the course concepts to your own AI-agent projects

What You’ll Build

You won’t just watch demonstrations—you’ll progressively build a working AI-agent system.

You’ll start with a simple “Hello Agent” and gradually add new capabilities:

Basic Agent → Tool-Enabled Agent → Information Access → Sessions & State → Memory → Multi-Agent Workflow → Cloud Deployment

Each project builds on the previous one, so you can see why each capability is needed and how the architecture evolves as the agent becomes more powerful.

Who Is This Course For?

This course is designed for:

• Python developers who want to build AI agents

• AI and machine-learning enthusiasts

• AI engineers and developers

• Cloud developers

• Students learning about agentic AI

• Beginners who want a practical introduction to Google ADK

• Developers interested in building applications with Gemini and Google Cloud

You do not need previous experience with Google ADK or another AI-agent framework.

Requirements

Before starting, you should:

• Understand basic Python syntax

• Be comfortable writing functions and working with Python packages

• Know how to install Python libraries and run Python programs

No previous AI-agent experience is required.

You’ll also need access to the relevant Google AI and/or Google Cloud services used throughout the course. Any applicable account, billing, quota, or service requirements will be explained clearly before you use them.

Why Learn Google ADK?

Understanding an agent framework is more valuable than memorizing isolated code snippets.

Throughout the course, you’ll learn not only how to build agents with Google ADK, but also how the main components fit together—tools, context, state, memory, sessions, and agent orchestration.

This gives you a foundation you can use to design and adapt AI-agent applications for your own projects.

Start Building AI Agents

If you want to move beyond simple chatbot applications and learn how modern AI agents are built, this course gives you a practical path from your first Gemini agent to a deployable multi-agent application.

Preview the introduction and a selected implementation lesson to see the teaching style, coding walkthroughs, and projects you’ll build throughout the course.

Start building AI agents instead of only watching them.

Courze