A single working agent is a starting point; the real value comes from coordinated multi-agent workflows that do real work alongside a team. Most leaders lack practical experience orchestrating agents, connecting them to enterprise systems, and designing the handoffs and oversight that keep workflows safe. This course, Deploying and Orchestrating AI Agents, provides that experience. You will orchestrate multi-agent workflows in your own IBM watsonx Orchestrate free-trial instance, apply safety checkpoints, connect agents to enterprise tools and data through pre-built skills, and design human handoffs and escalation paths that preserve oversight, speed, and accountability. You will then build human-in-the-loop oversight proportional to risk and reversibility, including thresholds, cadences, and review queues. By course completion, you will have produced a Working, Supervised Multi-Agent Workflow with integration specifications, a workflow diagram showing handoffs and escalations, a complete oversight scheme, and a test report covering happy-path, edge-case, and exception scenarios.

Deploying and Orchestrating AI Agents

Deploying and Orchestrating AI Agents
This course is part of IBM Building and Managing Agentic Teams Professional Certificate

Instructor: Starweaver
Included with Learn more
Recommended experience
What you'll learn
Orchestrate two or more agents into a coordinated workflow with clear handoffs and safety checkpoints.
Connect agents to enterprise tools and data and specify integration requirements a platform team can act on.
Design human handoffs and escalation paths that preserve oversight, speed, and accountability.
Design human-in-the-loop oversight proportional to risk, including thresholds, cadences, and review queues.
Skills you'll gain
Tools you'll learn
Details to know

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October 2026
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