Udemy - Change Management After the Rise of Generative AI torrent

Change Management After the Rise of Generative AI

https://WebToolTip.com

Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 5m | Size: 3.8 GB

Lead human-centered transformation with the AI, change, and leadership skills needed for the future of work

What you'll learn
Define key principles of change management in the context of automation (Remember; at the course outset).
Explain how generative AI changes organizational transformation drivers (Understand; during module discussions).
Apply traditional change models to scenarios involving new technologies (Apply; in simulation exercises).
Analyze lessons from past technology-driven organizational change (Analyze; in historical case reviews).
Distinguish generative AI features that impact business processes (Understand; during AI exploration sessions).
Evaluate organizational readiness for automation-led transformation (Evaluate; using a readiness assessment tool).
Identify gaps in workforce skills and culture for adopting AI (Analyze; through self-assessment activities).
Illustrate how AI-driven automation reshapes organizational structures (Apply; in mapping exercises).
Assess strategies for guiding employees through uncertainty during change (Evaluate; via scenario analysis).
Design developmental pathways for workforce reskilling and upskilling (Create; in career development planning).
nstrate inspirational leadership competencies in change scenarios (Apply; during role-play sessions).
Construct effective communication plans for organizational change initiatives (Create; as communication plan projects).
Implement techniques to overcome resistance and build employee engagement (Apply; in resistance-mitigation workshops).
Develop practices that foster adaptive, resilient work cultures (Create; as culture-building project proposals).
Compare pre- and post-automation workflows to measure productivity gains (Analyze; in workflow analysis exercises).
Formulate policies that address ethical risks of AI and automation (Create; in policy drafting assignments).
Measure change management success using qualitative and quantitative indicators (Apply; in outcome measurement exercises).
Design an ongoing personal change leadership action plan for future growth (Create; as a final capstone assignment).
Evaluate upskilling program effectiveness aligned with organizational needs (Evaluate; in learning program assessments).
Synthesize key lessons from global case studies of AI-driven change (Analyze; in comparative case study reviews).

Requirements
There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course.
General familiarity with organizational change concepts or workplace transformation initiatives.
Basic understanding of automation technologies, Artificial Intelligence, or digital tools in the workplace.
Access to a computer or smart device with an internet connection for course participation and case study research.