Building Multi-Agent Systems: The Agentic AI Engineer Track

About this course

Are you tired of "toy" AI tutorials that just build simple, stateless chatbots? Are you ready to architect real, autonomous, enterprise-grade multi-agent systems?

Welcome to the definitive masterclass on the Google Agent Development Kit (ADK).

Most developers stop at basic Gemini API calls, never learning how to give their AI long-term memory, custom tools, or secure code execution environments. This keeps them locked out of the high-paying AI Engineering market. In this course, we skip the fluff and dive straight into professional architecture.

You will systematically master the 11 Core ADK Primitives. You won't just learn how to write the code; you will learn why the framework routes tasks the way it does, decoupling your agent's brain (models) from its memory (Session storage) for infinite cloud scalability.

What We Will Build

We learn by building. Throughout the course, you will engineer WealthPilot, an autonomous AI financial firm. You will build a Root Agent that delegates complex tasks to a specialized team:

• Stock Analyst — Uses custom tools to fetch live stock prices.
• Portfolio Manager — Uses the Code Execution sandbox to dynamically write and run Python scripts for compound interest calculations.
• Report Generator — Uses Artifact Management to save physical PDF reports to your hard drive.

The Cloud Deployment

In the final section, we will containerize your multi-agent system using Docker, run it locally, and deploy it natively to Google Cloud Run and Vertex AI Agent Engine for production-ready scale.

By the end of this course, you will have:

A fully working multi-agent AI financial system (WealthPilot)Mastery of all 11 ADK primitives and when to use each oneA Dockerized deployment running on Google Cloud

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