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Starts 5 July 2025 17:03

Ends 5 July 2025

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Change Management for AI (Leading in the AI Age)

Manage Resistance, Align Strategy, & Drive AI Adoption Practical Guide: Leading Change with Artificial Intelligence AI.
via Udemy

4124 Courses


1 hour 32 minutes

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Overview

Manage Resistance, Align Strategy, & Drive AI Adoption Practical Guide:

Leading Change with Artificial Intelligence AI. What you'll learn:

Understand the unique challenges and opportunities that generative AI presents for organizations and the workforce.Apply proven change management strategies to lead AI adoption with clarity, empathy, and purpose.Navigate employee resistance and fear with communication techniques rooted in psychology and trust.Design and execute scalable change plans that include pilots, governance, measurement, and reinforcement.Develop a future-ready leadership mindset focused on ethical AI use, continuous learning, and human-AI collaboration.

Are You Ready to Lead the Most Transformative Shift of Our Time?Generative AI is revolutionizing how work gets done—automating content creation, decision support, and collaboration. But without effective change management, even the most powerful AI tools fail to gain traction.

That’s where you come in.This course equips you with the strategies, frameworks, and tools you need to successfully lead organizational change during AI adoption. Whether you're a leader, manager, strategist, consultant, or innovator—this course will help you align AI initiatives with business goals, navigate resistance, and create a culture of trust, learning, and responsible innovation.What You’ll LearnHow to manage resistance, reduce fear, and inspire AI adoptionWays to align AI use cases with strategic prioritiesHow to build stakeholder buy-in and cross-functional momentumTechniques to upskill teams and foster a culture of learningPractical tools for governance, measurement, and ethical leadershipCourse CurriculumEach lesson is designed to give you actionable insights, real-world examples, and a practical approach to change management in the AI era.Welcome & Course OverviewSet the stage for what you’ll learn, why it matters, and how to get the most from this course.What is Generative AI? (Key Concepts and Examples)Understand how generative AI works, what makes it different from traditional AI, and where it's being used today—from marketing and HR to product design and support.Why Change Management is Critical for Generative AIExplore why AI adoption fails without strategic change leadership—and how you can be the difference between confusion and clarity.Aligning AI with Strategic Business GoalsLearn how to tie AI initiatives directly to measurable business outcomes—whether it’s efficiency, innovation, customer experience, or growth.Navigating Resistance to AIDiscover how to identify, understand, and overcome resistance—using empathy, psychology, and smart engagement strategies.Engaging Stakeholders and InfluencersMap out and engage the people who can make or break your AI adoption efforts, from executives to frontline influencers.Designing and Executing the AI Change PlanLearn how to roll out AI tools with clarity and structure—starting with small pilots and scaling with agility and confidence.Upskilling and Enabling the WorkforceExplore how to build learning programs that empower people to confidently use AI in their roles, and ensure no one is left behind.Measuring Success and Sustaining MomentumTrack what matters—like adoption, outcomes, and sentiment—and keep enthusiasm and learning alive long after the rollout.Case Studies and Lessons Learned from Real OrganizationsLearn from real companies across industries who’ve adopted AI successfully, and apply their lessons to your own journey.The Future of Work and Leadership in the Age of AIUnderstand how leadership is evolving—and what it takes to lead with empathy, ethics, and strategic clarity in a machine-augmented world.Final Thoughts and Next StepsWalk away with a personal action plan, practical reminders, and the confidence to begin transforming your team or organization.

Who This Course Is ForLeaders and managers driving AI initiativesHR, L&D, IT, and operations professionalsChange agents and consultants guiding digital transformationAnyone curious about leading human-centered AI adoptionLead the Future of Work—Enroll NowChange is coming—be the leader who makes it work.

Syllabus

  • Welcome & Course Overview
  • Introduction to course objectives and expected outcomes
    Importance of change management in AI adoption
  • What is Generative AI? (Key Concepts and Examples)
  • Basics of generative AI and its differentiation from traditional AI
    Applications across industries: marketing, HR, product design, and support
  • Why Change Management is Critical for Generative AI
  • Common pitfalls of AI adoption without change management
    The role of strategic leadership in ensuring successful AI integration
  • Aligning AI with Strategic Business Goals
  • Techniques to connect AI projects with business objectives
    Examples of AI driving efficiency, innovation, and growth
  • Navigating Resistance to AI
  • Identifying sources of employee resistance and fear
    Strategies rooted in empathy and psychology to mitigate resistance
  • Engaging Stakeholders and Influencers
  • Mapping key stakeholders and influencers in AI initiatives
    Building stakeholder buy-in and securing cross-functional support
  • Designing and Executing the AI Change Plan
  • Steps for initiating AI projects with small pilots
    Scaling AI efforts with confidence and flexibility
  • Upskilling and Enabling the Workforce
  • Developing learning programs to increase AI proficiency
    Ensuring workforce readiness and addressing skill gaps
  • Measuring Success and Sustaining Momentum
  • Key metrics for AI adoption and success
    Strategies to maintain momentum and enthusiasm post-implementation
  • Case Studies and Lessons Learned from Real Organizations
  • Examples of successful AI adoption across industries
    Insights and lessons to apply within your own organization
  • The Future of Work and Leadership in the Age of AI
  • The evolving landscape of leadership in a machine-augmented world
    Key leadership qualities: empathy, ethics, and strategic clarity
  • Final Thoughts and Next Steps
  • Creation of a personal action plan for AI transformation
    Practical tips and reminders for ongoing leadership development
  • Who This Course Is For
  • Leaders and managers driving AI initiatives
    HR, L&D, IT, and operations professionals
    Change agents and consultants guiding digital transformation
    Individuals interested in human-centered AI adoption

Taught by

Steve Ballinger, MBA


Subjects

Business