AI Agent Orchestration and Scaling

About this course

This course introduces the principles and practice of AI Agent Orchestration and Scaling, blending conceptual understanding with hands-on system design. You’ll learn how to coordinate, monitor, and optimize multiple AI agents that work together to deliver intelligent, autonomous workflows — with a special focus on building scalable customer support solutions powered by AI. Through structured lessons, guided projects, and practical demonstrations, you’ll explore how to orchestrate agent interactions, assign tasks dynamically, and ensure system reliability as agent complexity increases. You’ll work with orchestration patterns and communication protocols that allow AI agents to reason collectively, respond to user input, and handle real-time decision-making. By the end of this course, you will be able to:

• Understand orchestration frameworks and scaling strategies for AI agent systems.
• Implement coordination and monitoring techniques for autonomous agent workflows.
• Optimize task management, load balancing, and performance in multi-agent environments.
• Design scalable customer support agents that handle queries, adapt behavior, and improve with feedback. This course is ideal for AI developers, data scientists, and automation engineers who want to build enterprise-ready AI systems that perform efficiently at scale. A basic understanding of Python programming and prior experience with AI or machine learning will be helpful but not mandatory. Join us to explore how orchestration and scaling turn simple AI agents into intelligent, autonomous systems capable of managing complex, real-world operations.

Prices, discounts and availability are set by Coursera. We may earn a commission when you purchase through links on this site.