Generative AI for Change Management

Generative AI for Change Management

Instructors: Ahmed Hassan

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1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

3 weeks at 2 hours a week

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

3 weeks at 2 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Integrate AI initiatives into business strategy by aligning them with organizational goals and developing a roadmap for sustainable adoption.
Apply proven change management models to drive AI transformation, engage stakeholders, and communicate GenAI’s value.
Define and track AI success metrics, monitor adoption progress, and address key implementation challenges.
Develop strategies for ethical, responsible, and risk-aware AI implementation aligned with organizational values.

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There is 1 module in this course

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.

This course is designed for professionals across functions who are leading or supporting the implementation of AI within their organizations. Whether you're a business executive shaping AI strategy, a project or change manager steering transformation efforts, or an HR/L&D leader fostering workforce readiness, this course will provide you with the practical tools and frameworks needed to succeed. It’s also ideal for IT and operations professionals responsible for integrating AI tools, as well as anyone passionate about driving innovation through responsible AI adoption and change management. To fully benefit from this course, learners should have a basic understanding of artificial intelligence concepts and how they apply in business contexts. Experience in business management, strategic planning, or technology implementation will help in grasping the real-world applications of change management for AI. Familiarity with organizational change processes and strategic thinking is also recommended, as the course builds on these foundational skills to develop actionable AI adoption strategies. By the end of this course, you’ll be equipped with the skills and confidence to lead successful AI-driven change within your organization. You will understand how to align AI initiatives with strategic goals, apply proven change management models, engage stakeholders effectively, and ensure sustainable, ethical AI adoption. Whether you're leading transformation or supporting it, you'll be ready to navigate challenges, overcome resistance, and drive long-term impact with Generative AI.

What's included

24 videos11 readings5 assignments1 peer review2 discussion prompts

24 videosTotal 233 minutes

Overview 3 minutesPreview module
Meet Your Instructor 2 minutes
Course Roadmap 5 minutes
Introduction to Generative AI 8 minutes
Generative AI Use Cases 9 minutes
Challenges for AI Adoption and Implementation 7 minutes
AI and Business Strategy 14 minutes
Change Management Fundamentals 8 minutes
Change Management Models for AI 13 minutes
Impact Assessment and Change Readiness for AI 10 minutes
Formulating a change management strategy for AI Adoption and Implementation 12 minutes
Identifying Key Stakeholders in AI Adoption 11 minutes
Communicating AI’s Value and Managing Expectations 12 minutes
Overcoming Resistance to AI Implementation 12 minutes
Building a Collaborative AI Culture 10 minutes
Tracking AI Implementation and Performance Metrics 11 minutes
Gathering Feedback and Addressing Challenges 13 minutes
Embedding AI into Business Processes 12 minutes
Creating a Culture of Continuous AI Improvement 7 minutes
Ethical Challenges in GenAI Implementation Adoption7 minutes
GenAI Regulations and Compliance 12 minutes
AI Risk Management Frameworks 13 minutes
Building Trust and Transparency in GenAI 7 minutes
Course wrap up video 3 minutes

11 readingsTotal 80 minutes

Welcome to the Course: Course Overview5 minutes
Building an AI Business Strategy: A Beginner's Guide5 minutes
Hands-On-Learning: Assessing the feasibility of Generative AI Adoption 10 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
Building Transparency into AI Projects5 minutes

5 assignmentsTotal 100 minutes

Generative AI Fundamentals 20 minutes
Change Management Models for AI Adoption and Implementation20 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

1 peer reviewTotal 60 minutes

Project: Developeing an AI Change Management Strategy and Plan for a given scenario 60 minutes

2 discussion promptsTotal 10 minutes

Generative AI in Industry Transformation 5 minutes
Strategizing for Sustainable AI Adoption 5 minutes

Instructors

Ahmed Hassan

Starweaver

3 Courses359 learners

Offered by

Starweaver

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Frequently asked questions

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