Multi-Agent Systems for Government Workflows (Advanced) (Self-Paced)

Overview

When one AI agent isn't enough, multiple agents can coordinate to handle complex, multi-step government workflows.

This advanced, self-paced course covers how multi-agent systems are designed - orchestration, hand-offs, and coordination - and the new failure modes they introduce, so you can build them deliberately and safely.

Syllabus

Module 1: From one agent to many

Why and when to use multiple agents
Common patterns: orchestrator and specialists
Real government workflow examples
Costs and complexity

Module 2: Designing coordination

Hand-offs and shared context
Roles and responsibilities
Orchestration approaches
Keeping it debuggable

Module 3: Failure modes and control

Loops, drift, and cascading errors
Guardrails across agents
Human-oversight points
Testing multi-agent behavior

Module 4: Design a multi-agent workflow (capstone)

Scoping a multi-agent task
Designing the architecture
Planning safeguards
A build-or-not decision

Reviews

Start your review of Multi-Agent Systems for Government Workflows (Advanced) (Self-Paced)

Module 1: From one agent to many

Module 2: Designing coordination

Module 3: Failure modes and control

Module 4: Design a multi-agent workflow (capstone)

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