AR
4.0Reviewed Mar 18, 2026
Shows the importance of having a change management plan to insure the successful adoption of AI
good
Change Management for GenAI Integration
This course prepares leaders and professionals to guide their organizations through the transformative adoption of Generative AI. Focusing on the human side of AI integration, you’ll learn how to manage change, align AI initiatives with business strategy, engage stakeholders, and build a culture of innovation. Through expert-led lessons, case studies, hands-on labs, and a capstone project, you’ll develop the skills to drive sustainable and responsible AI transformation. Designed for executives, project managers, HR/L&D leaders, IT and operations professionals, and anyone supporting AI implementation, the course equips you with practical frameworks and tools to overcome resistance and ensure long-term adoption. A basic understanding of AI concepts and organizational change processes is recommended. By the end, you’ll be able to lead AI-driven change with confidence, aligning technology with business goals to deliver lasting impact.
Status: Key Performance Indicators (KPIs)
Status: Business Strategy
IntermediateCourse8 hours
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ANDI AMRI
5.0
Reviewed Sep 29, 2025Alejandro Rey
4.0
Reviewed Mar 19, 2026Shows the importance of having a change management plan to insure the successful adoption of AI
Akashalila Sherlock
2.0
Reviewed Nov 23, 2025Many 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.
Kim Cole
2.0
Reviewed Jan 16, 2026issues with the quizzes - marks correct answers as wrong.
Steven Sherwood
1.0
Reviewed Nov 14, 2025The 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.