Architecting Multi-Agent AI Solutions
Architecture patterns, agent roles, communication and design trade-offs for multi-agent AI systems, from the AI-500 outline.
MSAZ-430 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · Microsoft Certification Prep
Course content
- 1When to use more than one agentComing
- 2Multi-agent architecture patternsComing
- 3Defining agent roles and boundariesComing
- 4Orchestrator and worker designsComing
- 5Agent communication protocolsComing
- 6Tool and knowledge design across agentsComing
- 7State, memory and context sharingComing
- 8Human oversight pointsComing
- 9Reliability and failure handlingComing
- 10Cost and latency trade-offsComing
- 11Choosing frameworks and servicesComing
- 12An architecture case studyComing
Requirements
Recommended background. You can start any course at any time.
Description
Architecture patterns, agent roles, communication and design trade-offs for multi-agent AI systems, from the AI-500 outline.