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  1. Courses
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  3. Generative AI for Change Management

Generative AI for Change Management

Master AI-driven transformation with proven change management strategies. Learn to align AI with business goals, engage stakeholders, overcome resistance, and ensure ethical, sustainable AI adoption in this hands-on, results-focused course.

Ahmed Hassan
Ahmed Hassan
Business | intermediate | 4 hours |   Published: Jun 2025

    Discussions

Overview

1KSTUDENTS*
97.2RECOMMEND*
  • 4 Hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online

In a rapidly transforming world, where Generative AI is reshaping industries at an unprecedented pace, organizations face not only technological challenges but also significant hurdles in managing the changes AI brings. Despite the immense potential of AI, research reveals that over 85% of AI initiatives fail primarily due to poor change management, not because of technological shortcomings (Gartner 2022). This course is designed to equip leaders, managers, and professionals with the essential skills needed to effectively navigate AI-driven transformations, foster successful AI adoption, and mitigate resistance.

 

Taught by Ahmed Hassan, a seasoned expert with over 30 years of experience in executive leadership and change management across diverse industries, the course offers a practical approach to leading AI adoption. With a focus on case studies, real-world examples, and actionable strategies, participants will learn how to integrate AI initiatives with business goals, apply proven change management models, engage stakeholders, overcome resistance, and measure success metrics.

 

Spanning 4 hours, this intermediate-level course is aimed at business leaders, project managers, HR professionals, IT teams, and anyone interested in ensuring successful AI adoption in their organization. By the end of the course, participants will have the tools to guide their organizations through the complexities of AI integration, from strategic planning and stakeholder engagement to ethical considerations and risk management. They will be empowered to lead change, align AI initiatives with business strategies, and create a sustainable AI-driven future for their organizations.

Skills You Will Gain

Learning Outcomes (At the end of this program you will be able to)

  • Integrate AI initiatives into Business Strategy aligning them to business goals.
  • Apply proven Change Management Models to AI-driven Transformation.
  • Develop a strategic roadmap for sustainable AI adoption.
  • Engage Stakeholders, Communicate the Value of Generative AI, and Overcome Resistance to AI Adoption.
  • Define and track AI success metrics and adoption progress, and address implementation challenges.
  • Develop strategies for ethical and responsible AI implementation and mitigate risks. 

Prerequisites

Participants should have a basic understanding of AI concepts and foundational knowledge of how AI technologies impact business. Experience in business management or technology implementation is recommended, along with familiarity with strategy and strategic thinking. Additionally, an understanding of organizational change processes will help participants engage more effectively with the concepts and practices covered in this program.

Who Should Attend

This program is designed for business leaders and decision-makers implementing AI strategies, project and change managers driving AI transformation, HR and L&D professionals supporting workforce adoption, IT and operations teams integrating AI tools, and anyone looking to successfully navigate AI-driven change. Gain the insights, skills, and practical approaches needed to lead AI initiatives, foster organizational readiness, and drive sustainable value through AI adoption.

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Introduction
2Moldule 2: Generative AI Fundamentals
3Module 3: Change Management Models for AI Adoption and Implementation
4Module 4: Stakeholder Engagement and Overcoming Resistance for Generative AI Implementation
5Module 5: Monitoring AI Implementation and Sustaining AI-Driven Change
6Module 6: Ethical Considerations and Risk Management in AI Adoption
7Module 7: Conclusion

Segment 04: Introduction to Generative AI

Segment 05: Generative AI Use Cases

Segment 06: Challenges for AI Adoption and Implementation

Segment 07: AI and Business Strategy

Segment 08: Change Management Fundamentals

Segment 09: Change Management Models for AI

Segment 10: Impact Assessment and Change Readiness for AI

Segment 11: Formulating a change management strategy for AI Adoption and Implementation

Segment 01: Introduction and Welcome

Segment 02: Meet Your Instructor

Segment 03: Course Roadmap 

Ahmed Hassan

Ahmed Hassan

Ahmed is a seasoned consultant and expert trainer with over 30 years of management experience across diverse sectors, including financial services, manufacturing, retail, logistics, and IT. He is deeply passionate about integrating strategy, project management, and change management to drive business transformation. His international exposure across MENA, Europe, and the USA has enriched his understanding of various cultural dynamics, enabling him to tailor his approach to meet the unique needs of different organizations. With a strong background in leadership and strategic management, he has consistently helped businesses align their projects and programs with overarching strategic goals, ensuring maximum benefits and return on investment.

Throughout his career, Ahmed has held significant leadership roles, notably serving as Senior Deputy General Manager for Strategy and Change Management at one of Egypt’s largest banks. In this capacity, he was instrumental in establishing the bank's strategic management framework, leading major transformation initiatives, and implementing project management methodologies to enhance operational efficiency. A firm believer in the power of knowledge sharing, he has taken on various voluntary leadership positions within the Project Management Institute (PMI) and currently serves as the Knowledge Management Lead for the Financial Services Community of Practice, fostering a collaborative environment for professionals in the field.

Beyond his extensive professional experience, Ahmed is a passionate speaker and coach, frequently sharing insights on leadership, project management, and change management at global congresses. His educational background includes an MBA in International Business, a BSc in Computer Engineering, and multiple certifications in project and change management, all of which complement his practical expertise. Dedicated to empowering the next generation of leaders and project managers, he equips them with the tools and insights necessary to navigate the complexities of today’s business landscape.

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Segment 12: Identifying Key Stakeholders in AI Adoption 

Segment 13: Communicating AI’s Value and Managing Expectations 

Segment 14: Overcoming Resistance to AI Implementation 

Segment 15: Building a Collaborative AI Culture 

Segment 24: Course wrap up video

Segment 16: Tracking AI Implementation and Performance Metrics

Segment 17: Gathering Feedback and Addressing Challenges

Segment 18: Embedding AI into Business Processes

Segment 19: Creating a Culture of Continuous AI Improvement-

Segment 20: Ethical Challenges in GenAI Implementation Adoption

Segment 21: GenAI Regulations and Compliance 

Segment 22: AI Risk Management Frameworks

Segment 23: Building Trust and Transparency in GenAI