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Dr. Jules White and Bob Higgins

Generative AI is revolutionizing industries and transforming the way we work. As organizations embrace these cutting-edge technologies, effective change management becomes crucial to ensure a smooth transition and maximize the benefits of generative AI. In this course, "Change Management for Generative AI," we will delve into the strategies and frameworks necessary to successfully implement and adapt to these transformative technologies.

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Generative AI is revolutionizing industries and transforming the way we work. As organizations embrace these cutting-edge technologies, effective change management becomes crucial to ensure a smooth transition and maximize the benefits of generative AI. In this course, "Change Management for Generative AI," we will delve into the strategies and frameworks necessary to successfully implement and adapt to these transformative technologies.

You will learn about the FASTER framework, a comprehensive approach to managing change in the era of generative AI. We will explore each component of the framework, including establishing a strong foundation, aligning stakeholders, implementing safeguards, providing training, embracing evolution, and enabling replication. Through real-world examples and practical insights, you will gain the skills to lead change initiatives and drive the adoption of generative AI in your organization.

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What's inside

Syllabus

Introduction to Change Management for Generative AI
The FASTER Framework for Generative AI Change Management
Understanding Workforce Generative AI Concerns
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Generative AI, a cutting-edge and transformative technology that demands effective change management strategies
Taught by Dr. Jules White and Bob Higgins, this course benefits from expert perspectives on the implementation of Generative AI
Guides learners through the FASTER framework, equipping them with a comprehensive approach to adapt to the impact of Generative AI
Provides practical insights and real-world examples, allowing learners to apply their knowledge immediately
Suitable for professionals involved in organizational decision-making and strategic planning

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Change Management for Generative AI with these activities:
Explore online tutorials on using the FASTER framework for generative AI change management
Guided tutorials will provide additional support and practical guidance on applying the FASTER framework to generative AI projects.
Show steps
  • Search for online tutorials or resources that cover the FASTER framework in the context of generative AI.
  • Follow the instructions and complete the exercises to reinforce your understanding.
Read 'Leading Change' by John P. Kotter
Kotter's work provides insights into the dynamics of change and offers practical strategies for successful implementation.
Show steps
  • Read the chapters on establishing a sense of urgency, creating a guiding coalition, and developing a vision for change.
  • Reflect on how these principles align with the FASTER framework and your organization's change management initiatives.
Participate in peer discussions on best practices for Generative AI change management
Exchanging ideas and experiences with peers will broaden your perspective on effective change management approaches.
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  • Join online forums or discussion groups related to Generative AI change management.
  • Actively participate in discussions, share insights, and seek feedback on your own change management experiences.
Four other activities
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Develop a change management plan for a specific project
Creating a plan will help you apply the FASTER framework to a real-world scenario and identify potential challenges or opportunities.
Show steps
  • Identify the project scope, goals, and stakeholders.
  • Analyze the current situation and conduct a stakeholder analysis.
  • Develop a detailed plan outlining the implementation, communication, and evaluation strategies.
Analyze case studies on generative AI implementation and stakeholder management
Examining real-world examples will enhance your understanding of how to navigate challenges and maximize benefits in generative AI adoption.
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  • Gather case studies or articles that showcase successful and unsuccessful implementations of generative AI.
  • Analyze the strategies employed, stakeholder engagement approaches, and outcomes.
  • Identify key lessons and apply them to your own change management efforts.
Attend industry events or webinars on generative AI and change management
Connecting with professionals in the field will provide valuable insights and expand your understanding of generative AI's impact on change management.
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  • Identify relevant industry events or webinars that focus on generative AI and change management.
  • Attend the events and actively engage with speakers, attendees, and potential mentors.
Contribute to open-source projects related to generative AI and change management
Participating in open-source projects will not only enhance your technical skills but also connect you with a community of professionals working in the field of generative AI change management.
Browse courses on Open Source
Show steps
  • Identify open-source projects or initiatives related to generative AI and change management.
  • Contribute code, documentation, or participate in discussions to advance the projects.

Career center

Learners who complete Change Management for Generative AI will develop knowledge and skills that may be useful to these careers:

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