What will I learn in this Change Management for GenAI Integration course?

This course teaches how to lead organizational change, manage AI adoption, and successfully integrate Generative AI into existing business workflows and operations.

Who should enroll in this course?

This course is ideal for business leaders, managers, transformation professionals, HR leaders, consultants, and teams responsible for AI-driven organizational change.

Do I need technical AI experience to take this course?

No. This course focuses on change management for AI transformation, leadership strategies, organizational readiness, and GenAI adoption rather than technical AI development.

What topics are covered in the course?

The course covers change management frameworks, AI adoption strategies, organizational culture, stakeholder communication, workflow integration, and AI-driven change management best practices.

How will this course help my career?

This course helps professionals build strategic leadership skills in change management, digital transformation, and Generative AI integration to lead successful AI initiatives across organizations.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Change Management for GenAI Integration

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Change Management for GenAI Integration

This course is part of multiple programs.

Instructors: Ahmed Hassan

1,662 already enrolled

Included with

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1 module

Gain insight into a topic and learn the fundamentals.

12 reviews

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

12 reviews

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Align AI initiatives with business strategy, integrating them with organizational goals and creating a roadmap for sustainable AI adoption strategy.
Apply proven change management models to drive AI transformation, engage stakeholders, and communicate the value of Generative AI in business.
Define AI success metrics, track adoption progress, and address key implementation challenges in the AI business strategy process.
Develop strategies for ethical, responsible, and risk-aware AI implementation aligned with organizational values and change management frameworks.

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

91% of learners achieved a positive career outcome

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There is 1 module in this course

This course equips leaders and professionals with the skills to guide organizations through the transformative adoption of Generative AI, focusing on the human side of AI integration. You will learn how to implement effective change management strategies, align AI initiatives with business goals, engage stakeholders, and cultivate a culture of innovation. Through expert-led lessons, case studies, hands-on labs, and a capstone project, you’ll gain the tools to drive responsible and sustainable AI-driven change management.

Designed for executives, project managers, HR/L&D leaders, IT, and operations professionals, the course provides practical frameworks and change management techniques to overcome resistance and ensure successful long-term AI adoption. You'll explore the change management process and change management life cycle specifically for AI transformation. A foundational understanding of change management frameworks and AI concepts is recommended. By the end of the course, you’ll be prepared to lead AI-driven change management with confidence, ensuring AI initiatives are aligned with business strategy and delivering lasting impact. Whether overseeing change management in digital transformation or integrating Generative AI into existing workflows, you'll develop the expertise to navigate AI adoption and lead transformation across your organization.

Module details

In this course, you’ll learn how to lead your organization through the transformative shift of adopting and integrating Generative AI. You’ll focus on the human side of AI adoption—managing change, aligning AI initiatives with business goals, engaging stakeholders, and building a culture of innovation. Through expert-led videos, hands-on labs, real-world case studies, and a practical capstone project, you’ll gain the skills to drive successful AI transformation and long-term adoption.

What's included

24 videos11 readings5 assignments1 peer review2 discussion prompts

24 videosTotal 233 minutes

Overview 4 minutes
Meet Your Instructor 2 minutes
Course Roadmap 5 minutes
Introduction to Generative AI 8 minutes
Generative AI Use Cases 10 minutes
Challenges for AI Adoption and Implementation 8 minutes
AI and Business Strategy 15 minutes
Change Management Fundamentals 9 minutes
Change Management Models for AI 14 minutes
Impact Assessment and Change Readiness for AI 11 minutes
Formulating a change management strategy for AI Adoption and Implementation 12 minutes
Identifying Key Stakeholders in AI Adoption 12 minutes
Communicating AI’s Value and Managing Expectations 13 minutes
Overcoming Resistance to AI Implementation 12 minutes
Building a Collaborative AI Culture 10 minutes
Tracking AI Implementation and Performance Metrics 12 minutes
Gathering Feedback and Addressing Challenges 13 minutes
Embedding AI into Business Processes 13 minutes
Creating a Culture of Continuous AI Improvement 7 minutes
Ethical Challenges in GenAI Implementation Adoption7 minutes
GenAI Regulations and Compliance 13 minutes
AI Risk Management Frameworks 14 minutes
Building Trust and Transparency in GenAI 7 minutes
Course Wrap Up Video 4 minutes

11 readingsTotal 80 minutes

Welcome to the Course: Course Overview5 minutes
Hands-On-Learning: Assessing the feasibility of Generative AI Adoption 10 minutes
Building an AI Business Strategy: A Beginner's Guide5 minutes
Adopting AI-Driven Change Management: Key Strategies for Organizational Growth5 minutes
Hands-On-Learning: Crafting a Change Management Strategy for AI Adoption 10 minutes
From Resistance to Advocacy: Strategies for Overcoming Organizational Resistance to AI  5 minutes
Hands-On-Learning: Engaging Stakeholders and Overcoming Resistance in AI Adoption 10 minutes
19 Ways To Effectively Integrate AI Into Business Processes In 20255 minutes
Hands-On-Learning: Tracking AI Success and Driving Continuous Improvement 10 minutes
Hands-On-Learning: Developing a GenAI Ethics and Risk Mitigation Plan 10 minutes
Transparency and Accountability in AI Systems5 minutes

5 assignmentsTotal 100 minutes

Generative AI Fundamentals 20 minutes
Change Management Models for AI Adoption and Implementation 20 minutes
Stakeholder Engagement and Overcoming Resistance for Generative AI Implementation20 minutes
Monitoring AI Implementation and Sustaining AI-Driven Change 20 minutes
Ethical Considerations and Risk Management in AI Adoption20 minutes