Agent Design: From a Single Agent to Coordination

Difficulty: Beginner
Duration: 15 minutes and 7 seconds
Students: 38

About

This course 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 

  • Previous Course Placeholder 

  • A solid foundation in computer programming principles 

  • Intermediate knowledge of the python programming language 

 

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