Architect Reusable AI Agent Systems

Architect Reusable AI Agent Systems is an intermediate course for AI engineers and developers who want to move beyond building single-purpose agents and learn to design scalable, modular agent architectures that drive business value. This course teaches advanced system design principles, equipping you to build maintainable AI systems that can evolve with business needs. You will learn to evaluate competing reasoning-loop architectures like ReAct and Reflexion by running data-driven A/B tests to select the optimal design for a specific use-case. Through hands-on labs, you will master the software engineering best practices for creating reusable agent components—the Planner, Memory, and Executor—by defining clear API contracts with typed interfaces. You will leave this course with the ability to design, document, and implement a complete Python package of agent components, ready for integration into a production environment

• Design reusable, modular AI agent systems
• Evaluate reasoning-loop architectures with A/B tests
• Build agent components with clear API contracts
• Implement and document a complete AI agent package

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work