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Coursera

Change Management for GenAI Integration

Starweaver via Coursera

Overview

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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.

Syllabus

  • Generative AI for Change Management
    • 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.

Taught by

Ahmed Hassan and Starweaver

Reviews

3.8 rating at Coursera based on 13 ratings

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