Coordinate Multiple Agents: Free Google ADK Course

A collection of agents needs a coordination plan, not just separate prompts. Coordinate Multiple Agents examines workflow patterns and shared state in Google’s Agent Development Kit, using a customer-service application to make the interactions concrete. It is a focused course about how agent responsibilities connect.

Google advertises about one hour at its Advanced level, normalized here as Professional. The reviewed route contains document instruction and multiple quizzes. It is distinct from a first-deployment course: the emphasis is on coordinating the application’s behavior rather than choosing its hosting destination.

Course at a glance

What you’ll learn

• Explore ADK workflow patterns for coordinating more than one agent.
• Understand how shared state connects steps in an application.
• Examine output_key and state templating in the instructional workflow.
• Follow the development of a customer-service multi-agent example.

Skills you’ll gain

• Multi-agent workflow planning
• State-passing reasoning
• Responsibility separation
• Coordination review

Give each agent a reason to exist

Coordination is easier to understand when each agent has a clear responsibility and an identifiable output. As you read, trace the customer-service example from a request through the relevant steps. Notice where information is generated, where it is reused and which component is responsible for the next decision.

For optional practice, draw the same workflow with named inputs and outputs. Ask whether a step actually needs an agent or whether a simpler operation would be sufficient. This exercise is independent guidance; the course does not establish that multi-agent designs are always more effective than a smaller application.

Make shared state understandable

Shared state can help an application carry information between steps, but it also creates dependencies. An output key or a template must point to the intended information at the intended time. A workflow can look orderly while passing incomplete, stale or incorrectly interpreted values to the next component.

A useful personal review is to follow one piece of information from creation to use. Identify what happens when it is absent or inconsistent, and which step should detect the problem. These suggested checks are separate from the course quizzes and do not imply that any generated application has already passed a reliability test.

Review the workflow as a whole

A customer-service example is useful because its final response depends on more than fluent wording. It needs the right context and a sensible sequence of work. During the instruction, distinguish predictable workflow organization from the uncertainty that can remain in model-generated outputs.

This course suits learners with some ADK or agent-development context who want to reason more precisely about coordination. After studying, compare your intended design with the simplest version that could solve the task. Keep tool permissions and human review proportionate to the actions the agents may take, especially when a workflow affects an actual customer or business record.

Free learning and practical access

The full advertised document instruction and quizzes are free with a free Google Skills account. Optional model calls, cloud deployment and connected customer-service systems are separate and may have charges or organizational access requirements. Studying the instructional route requires no paid subscription, card or trial. A live production service is not included. Google advertises a course completion badge after the required activities. It is not a professional certification or academic credit.

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Frequently asked questions