AR
Shows the importance of having a change management plan to insure the successful adoption of AI
This course equips leaders and professionals with the skills to guide organizations through the transformative adoption of Generative AI, focusing on the human side of AI integration. You will learn how to implement effective change management strategies, align AI initiatives with business goals, engage stakeholders, and cultivate a culture of innovation. Through expert-led lessons, case studies, hands-on labs, and a capstone project, you’ll gain the tools to drive responsible and sustainable AI-driven change management. Designed for executives, project managers, HR/L&D leaders, IT, and operations professionals, the course provides practical frameworks and change management techniques to overcome resistance and ensure successful long-term AI adoption. You'll explore the change management process and change management life cycle specifically for AI transformation. A foundational understanding of change management frameworks and AI concepts is recommended. By the end of the course, you’ll be prepared to lead AI-driven change management with confidence, ensuring AI initiatives are aligned with business strategy and delivering lasting impact. Whether overseeing change management in digital transformation or integrating Generative AI into existing workflows, you'll develop the expertise to navigate AI adoption and lead transformation across your organization.
AR
Shows the importance of having a change management plan to insure the successful adoption of AI
Showing: 5 of 5
good
Shows the importance of having a change management plan to insure the successful adoption of AI
Many assessments are faulty. Final project is too large and relies on random peers to mark (why not use an AI???) which means I should also be marking someone else's project. I don't have time to do Coursera's work. The content has some good items around governance, but as an experienced Change Manager the change content is not new - the same processes and approaches as any other software rollout.
issues with the quizzes - marks correct answers as wrong.
The course content is informative and conceptually strong, but the overall experience is undermined by repeated grading inconsistencies and technical issues within the assessments. Several questions appear misaligned with the lessons and transcripts, creating confusion and diminishing confidence in the evaluation process. After multiple attempts and careful review, it became clear that the grading logic does not reliably reflect the material taught. This issue has occurred across multiple exams, suggesting a broader configuration or quality control problem rather than an isolated error. While the subject matter provides valuable insights into change management and AI integration, the persistent grading problems detract from the learning experience and raise concerns about the accuracy and fairness of the course’s assessment standards. These issues should be reviewed and corrected to maintain the integrity of the program and trust in the institution’s offerings.