Multi-Agent AI Systems

About this course

Examine when multiple AI agents add value and how to manage orchestration, shared state, conflict, cost and failure.

This advanced course is part of the Agentic AI & Intelligent Automation school. Work through the curriculum below in a instructor-led / cohort format, with an estimated study time of 25 h.

Course curriculum

• Module 1 — When Several Agents Help and When They Hurt
• Module 2 — Orchestration Patterns
• Module 3 — Roles and Prompts
• Module 4 — Handoffs and Shared State
• Module 5 — Conflicts and Loops
• Module 6 — Cost and Latency
• Module 7 — Evaluating Multi-Agent Systems
• Module 8 — Failure Analysis

Applied learning

• Case Study — Brackenfield Group: the Agent Team That Was Nearly There
• Lab 1 — A supervisor with three specialists
• Lab 2 — Agents, one agent or no agent?
• Lab 3 — Find and fix the failures
• Capstone — A Multi-Agent Design You Can Defend

Who this course is for

Technology Professional; Engineer / Architect; Enterprise Team

Prerequisites

NE-AGI-101

Course details

• Course code: NE-AGI-304
• Level: Advanced
• Estimated duration: 25 h
• Delivery: Instructor-Led / Cohort