IBM

Deploying and Orchestrating AI Agents

IBM

Deploying and Orchestrating AI Agents

Starweaver

Instructor: Starweaver

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Recently updated!

October 2026

Assessments

17 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the IBM Building and Managing Agentic Teams Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from IBM

There are 5 modules in this course

In this opening module of the deployment phase, you will move from a single working agent to coordinated multi-agent workflows that do real work alongside your team. You will study the patterns by which agents pass work to each other, learn the common pitfalls such as runaway loops, ambiguous ownership, and silent failures, and build a coordinated two-agent workflow in a self-service IBM watsonx Orchestrate free-trial environment with checkpoints that preserve safety and observability. The work is hands-on at a manager’s level and stops short of software engineering.

What's included

12 videos17 readings4 assignments3 peer reviews1 discussion prompt

In this module, you will learn how agents become useful by reaching into enterprise tools and data. At a manager’s level, you will study how watsonx Orchestrate connects agents to common systems, what a manager must specify versus what IT will deliver, and how to think about data quality, freshness, and access control without coding. You will also learn to decide when an agent should reach into a system versus ask a human. The labs have you connect your workflow to pre-built skills and write integration requirements for a third tool.

What's included

9 videos13 readings4 assignments3 peer reviews1 discussion prompt

In this module, you will focus on the seams between humans and agents. You will design handoff patterns that preserve oversight and keep work moving, build escalation paths that fire on the right signals, configure agents to surface uncertainty rather than hide it, and recognize and prevent the dropped-baton failures that plague hybrid teams. The labs have you extend your multi-agent workflow with human handoff points and escalation paths and run it through an exception test pack.

What's included

9 videos14 readings4 assignments3 peer reviews1 discussion prompt

In this module, you will turn a deployed workflow into a supervised one. You will go beyond the slogan of human-in-the-loop to design specific checkpoints proportional to task risk and reversibility, set confidence thresholds and review cadences that hold up under load, recognize over-oversight, under-oversight, and oversight fatigue as real failure modes, and plan how oversight will evolve as agents and the team mature. The labs have you design a complete oversight scheme with a six-month maturation plan for your workflow.

What's included

10 videos13 readings4 assignments3 peer reviews1 discussion prompt

In this final module, you will assemble everything from Modules 1 through 4 into a cumulative project: a Working, Supervised Multi-Agent Workflow. The deliverable is a configured multi-agent workflow in your watsonx Orchestrate free-trial instance, an instructions document with integration specifications and a workflow diagram, a complete oversight scheme with a six-month maturation plan, and a test report with a manager’s reflection. The module closes with a wrap-up featuring an SME interview, a day-in-the-life view of an Agentic Team Lead, and a bridge into the governance work of Course 4.

What's included

3 videos13 readings1 assignment1 peer review

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Instructor

Starweaver
642 Courses1,312,279 learners

Offered by

IBM

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.