AR
Shows the importance of having a change management plan to insure the successful adoption of AI

This specialization equips forward-thinking professionals with strategic, technical, and change leadership capabilities for driving innovation in the AI era. From enterprise-wide digital transformation to ethical governance and GenAI-enhanced communication, learners will build fluency in using tools like ChatGPT, Gemini, Claude, and others to implement high-impact, scalable strategies. Through hands-on labs and executive case studies, this program builds a versatile skill set for leading AI initiatives, navigating change resistance, and designing responsible AI ecosystems. Ideal for executives, change agents, and business leaders seeking to position their organizations for long-term innovation and competitive advantage.

AR
Shows the importance of having a change management plan to insure the successful adoption of AI
SH
Very advanced era line technology of boming for all, thanks very much.
MP
I loved this course. It was very interesting, and very practical, it helped me a lot for my development. Thank you Ritesh for all the tools provided.
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.