Managing Change for Generative AI Success The AIM Framework

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Free Download Managing Change for Generative AI Success The AIM Framework
Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 42m | Size: 735 MB
A practical guide to leading AI adoption with clarity, confidence, and a people-first mindset.

What you'll learn
Lead AI-driven change with confidence using the AIM Framework-Adapt, Integrate, Motivate-to guide successful transformation.
Align generative AI initiatives with business strategy and culture to reduce resistance, build trust, and drive meaningful adoption.
Apply structured change management techniques to prepare stakeholders, pilot AI tools, and sustain long-term impact.
Recognize and address common challenges and misconceptions in AI adoption, including resistance, skills gaps, and ethical concerns.
Requirements
No technical expertise required. This course is designed for professionals at all levels-whether you're a tech leader, change manager, or simply curious about AI transformation. Basic understanding of organizational change or digital transformation is helpful but not mandatory. An interest in AI adoption and leadership will help you get the most out of the course. Optional: Access to a team or organization where you can apply the AIM Framework in real-world scenarios.
Description
Generative AI is transforming industries-but successful adoption isn't just about technology. It's about people, strategy, and sustainable change that drives real business value.In this course, Managing Change for Generative AI Success: The AIM Framework, you'll learn how to lead AI transformation with clarity, confidence, and a people-first mindset. Whether you're a technical professional, change manager, or business leader, this course equips you with the tools to align AI with your strategy, your teams, and your culture.Built around the AIM Framework-Adapt, Integrate, Motivate, you'll discover how to:Prepare your organization for AI change by assessing readiness and engaging stakeholders.Embed AI into real workflows through pilot testing, role-based training, and feedback loops.Sustain adoption by recognizing early wins, measuring impact, and evolving your culture.You'll also explore common challenges like resistance, skills gaps, and ethical concerns-and learn how to overcome them with practical strategies and proven tools.This course includes:Downloadable templates and checklistsInteractive quizzes and reflection promptsReal-world examples and short-form video insightsPersonalized feedback opportunities from instructor Kris RedingerWhether you're just starting or scaling AI across your organization, this course will help you turn AI strategy into lasting impact-and build a culture of innovation that lasts.
Who this course is for
This course is designed for professionals who are leading, supporting, or navigating AI adoption and digital transformation, including: Technical professionals looking to align AI initiatives with business strategy and culture. Change managers and transformation leaders who want a structured, people-first approach to AI implementation. Business leaders and decision-makers seeking to reduce resistance, build trust, and drive meaningful AI adoption. Anyone curious about the human side of AI-how to lead change, engage stakeholders, and create lasting impact. Whether you're just starting your AI journey or scaling across teams, this course will equip you with the tools and mindset to lead with confidence.
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