Architect scalable and cost-efficient AI agent solutions on Azure
This module guides learners through designing AI agent architectures that scale with business demand, provide deep visibility into cost drivers, and support long-term governance. Participants explore reference architectures, orchestration patterns, and financial design principles that ensure operational efficiency, cost control, and strategic alignment.
Learning objectives
In this module, you learn how to design AI agent architectures that scale with business demand, provide deep visibility into cost drivers, and support long-term governance. You explore reference architectures, best practices, multi-agent design options, and financial design principles that ensure operational efficiency, cost control, and strategic alignment. By the end of this module, you're able to:
- Leverage reference architectures and orchestration patterns for scalable AI agent solutions.
- Describe cost-effectiveness strategies for multi-agent systems.
- Apply design principles and strategies for cost-efficient AI agent deployments.
- Align AI agent architecture with business strategy and financial goals.
Prerequisites
- Basic understanding of AI and large language models (LLMs)
- Familiarity with cloud platforms and software lifecycle concepts