This lesson introduces learners to the principles of agent design, focusing on how single agents evolve into coordinated multi-agent systems. Agents represent the next step beyond traditional chatbots, distinguished by their ability to make context-driven decisions.

Through real-world analogies and conceptual explanations, learners will explore why overloading a single agent leads to inefficiency, and how specialization and coordination create scalable, sustainable systems. Key concepts such as the Producer–Consumer pattern and the use of secondary models are explained in a clear, framework-agnostic way, with code examples used only to illustrate principles.

By the end of this course, you will be able to:

Explain the fundamental principles of agent specialization

Describe the role of coordination in agent systems

Explain the Producer–Consumer pattern and its applications

Identify key use cases of a secondary model

Prerequisites

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A solid foundation in computer programming principles

Intermediate knowledge of the python programming language

Agent Design: From a Single Agent to Coordination