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Fundamentals of Change Management in AI & Automation..
Rating: 4.2 out of 5(17 ratings)
402 students

Fundamentals of Change Management in AI & Automation..

Change Management After the Rise of Generative AI and Automation:: Core principles to manage organizational change!!
Last updated 3/2026
English

What you'll learn

  • Fundamentals of Change Management
  • Change Management After the Rise of Generative AI and Automation
  • Examples and Practices
  • Problems and Solutions

Course content

10 sections122 lectures84h 33m total length
  • 01 Fundamentals of Change Management in AI and Automation10:19
  • 02 Foundations of Change Management Core Concepts5:08
  • 03 Evolution of Change Management From Tradition to AI Driven Continuous Change5:12
  • 04 Types of Organizational Change Navigating Transformation in Todays Workplace5:21
  • 05 The AI and Automation Shift Understanding the New Reality5:33
  • 06 How AI Changes Organizations Accelerating Decisions Shifting Power and5:15
  • 07 AI as a Change Multiplier Accelerating Transformation in 20265:19
  • 08 The Human Side of AI Driven Change5:14
  • 09 Resistance to AI and Automation Understanding the Human Factor4:59
  • 10 Employee Mindset Shifts for the Future of Work5:01
  • 11 Change Management Models Classic Foundations and AI Driven Evolution10:47
  • 12 Why Classic Models Are Not Enough for AI10:28
  • 13 AI Adapted Change Frameworks9:30
  • 14 Change Sponsorship and Ownership Driving Successful Transformation11:12
  • 15 Leadership and Governance in AI Change10:30
  • 16 AI Governance and Ethics as Change Levers10:47
  • 17 Workforce Transformation and Skills Navigating the Future of Work10:06
  • 18 Reskilling and Upskilling for AI Empowering the Workforce of Tomorrow10:23
  • 19 Talent Strategy in the Age of AI Change10:40
  • 20 Communication and Engagement Strategy Mastering Connection in 202610:12
  • 21 AI Change Management Mastering Stakeholder Engagement for Success10:41
  • 22 Building Trust in AI Systems9:48
  • 23 AI Implementation and Adoption Roadmapping Change for Impact11:00
  • 24 AI Change Management and Adoption Metrics Measuring What Matters10:20
  • 25 Embedding AI into Daily Work Redesigning for the Future10:37
  • 26 Risk Failure and Recovery Navigating the New Reality of AI and Beyond10:38
  • 27 Managing AI Failures Navigating Risks in the Age of Intelligent Machines10:41
  • 28 Sustaining Change Building Lasting Impact in the Age of AI10:47
  • 29 The Future of Change Management From Projects to Core Capability10:20
  • 30 Human AI Collaboration Models Unlocking New Synergies10:40
  • 31 Preparing for Continuous Disruption Thriving in an AI Driven World10:24
  • 32 AI Transformations Successes Failures and Hands On Learning10:47

Requirements

  • This course is designed for learners of all backgrounds and does not require any prior experience in change management, AI, or automation. It is ideal for professionals, managers, HR specialists, business leaders, and anyone interested in understanding how technological change impacts organizations. A basic understanding of workplace dynamics and an interest in AI-driven transformation will be helpful but not mandatory. Since the course focuses on fundamental concepts, all key terms and principles will be explained in simple, practical terms. Learners should have a willingness to engage with real-world examples, reflect on case studies, and think critically about change processes in their industries. Access to a computer or mobile device with an internet connection is recommended for course materials, discussions, and interactive activities. No advanced technical skills or programming knowledge are required—this course emphasizes strategic thinking, communication, and organizational adaptation rather than AI development or coding. Whether you're an individual looking to future-proof your career or a business leader preparing for digital transformation, this course provides an accessible starting point.

Description


The rise of generative AI and automation is reshaping industries at an unprecedented pace, requiring businesses and professionals to adapt quickly. Change management—the structured approach to transitioning individuals, teams, and organizations—has never been more critical. This course provides a foundational understanding of change management principles in the context of AI and automation, helping learners navigate disruptions and ensure smooth transformations.

Change management is essential because technological advancements, especially in AI, impact job roles, workflows, and decision-making processes. Organizations that fail to manage these shifts effectively risk resistance, decreased productivity, and missed opportunities. By understanding the fundamentals of change management, individuals and leaders can help businesses transition smoothly, ensuring employees are engaged and aligned with new technologies.

One of the key advantages of effective change management is minimizing disruptions and uncertainty. When AI-driven tools are introduced, employees often face concerns about job security, skill gaps, and workflow modifications. A structured change management approach fosters transparency, builds trust, and encourages a culture of continuous learning. Additionally, organizations that implement change management successfully can maximize the benefits of AI, improving efficiency, reducing costs, and staying ahead of competitors.

This course is ideal for professionals across industries who want to understand how AI-driven change affects businesses and workplaces. Whether you're a manager overseeing AI adoption, an HR professional guiding workforce transitions, or an employee navigating AI’s impact on your role, this course will equip you with the knowledge to adapt confidently. Entrepreneurs and business leaders can also benefit by learning how to future-proof their organizations in a rapidly evolving technological landscape.

Looking ahead, AI and automation will continue to advance, influencing industries from healthcare and finance to manufacturing and customer service. The workforce of the future will need to continuously adapt, upskill, and embrace change. Organizations that proactively integrate change management strategies will be better positioned for long-term success, fostering innovation while ensuring employees feel supported and valued.

By the end of this course, you will have a strong grasp of the fundamental principles of change management in the AI era. You’ll be better prepared to handle technological transitions, support teams through change, and contribute to a future where AI and automation enhance—not disrupt—business operations and careers.



Who this course is for:

  • This course is ideal for professionals, managers, HR specialists, business leaders, and entrepreneurs who want to understand and navigate the impact of generative AI and automation on organizations. As technology rapidly reshapes industries, those responsible for leading teams, implementing new processes, or adapting to digital transformation must be equipped with change management fundamentals. Employees seeking to future-proof their careers can also benefit by learning how to embrace AI-driven changes and develop a proactive mindset. Organizations that fail to manage change effectively may face resistance, decreased productivity, and lost opportunities, making this course valuable for anyone involved in workforce transitions. Whether you are in leadership, human resources, operations, or simply looking to stay relevant in a tech-driven world, understanding how to guide and adapt to change is crucial. This course provides practical insights into handling disruptions, fostering collaboration, and ensuring smooth transitions, helping individuals and businesses stay competitive and resilient in the evolving workplace.