Coursera

Human-AI Systems Integration

Coursera

Human-AI Systems Integration

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

Recommended experience

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

Recommended experience

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

What you'll learn

  • Trace how AI capability changes cascade across connected teams

  • Design human-AI handoff protocols and role-allocation frameworks that remove friction.

  • Identify and rank AI value-creation opportunities against baseline performance.

  • Quantify and communicate genuine productivity and value gains, not just task displacement.

Details to know

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Recently updated!

October 2026

Assessments

24 assignments¹

AI Graded see disclaimer
Taught in English

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Build your Leadership and Management expertise

This course is part of the Human-Centered AI Transformation: Strategy & Ethics 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 Coursera

There are 6 modules in this course

You will gain the tools necessary to establish sustainable AI capabilities within your organization; improve AI literacy among your staff; and identify, prioritize and implement AI solutions that are aligned with business goals, ethical and compliant.

What's included

7 videos1 assignment

You will design low-friction handoffs between people and AI across a multi-step workflow. Audit an existing workflow against a friction taxonomy, design a handoff protocol with clear transition points and quality gates, and architect a role allocation framework that assigns human versus AI ownership with documented criteria. These are the integration skills that make human-AI systems run smoothly beyond a single task.

What's included

8 videos7 readings7 assignments

Redesign work from first principles, assuming current AI capabilities instead of retrofitting AI onto old processes. Using ChatGPT and a simple spreadsheet, build an AI-native workflow blueprint, score tasks for automation-worthiness, and map where human contribution is densest. These are the core moves of designing work that gets the best from people and AI together.

What's included

5 videos10 readings7 assignments

Explore how GenAI can create customer value and enhance organizational productivity, offering practical strategies for identifying productivity opportunities.

What's included

4 videos1 assignment2 ungraded labs

Measure whether reallocating time from routine work to high-value human work actually pays off. Using spreadsheets and ChatGPT, build a before-and-after workflow portfolio, analyze ROI, and communicate findings honestly to a non-technical audience. These skills turn AI adoption claims into evidence leaders can trust.

What's included

6 videos9 readings7 assignments

In this project, you will integrate a complete human-AI system for a multi-step workflow, bringing systems thinking, handoff design, value creation, and productivity measurement into a single deliverable. Using ChatGPT and a spreadsheet, you will produce an integration and handoff package with a value and productivity tracking component. This mirrors the leadership task of standing up a human-AI system that runs reliably and proves its value.

What's included

1 video3 readings1 assignment

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Professionals from the Industry
515 Courses169,638 learners

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