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GenAI is now the fastest-growing skill among our enterprise learners—including employees, students, and job seekers. Notably, more than half (54%) of GenAI course enrollments come from learners in India, Colombia, and Mexico, signaling a shift in the globalization of AI talent and their availability in emerging markets. Foundational courses such as Google Cloud’s Introduction to Generative AI and Google’s AI Essentials, and courses that teach practical AI skills such as Prompt Engineering for ChatGPT from Vanderbilt University and IBM’s Generative AI: Introduction and Applications are driving the highest enrolment rates among enterprise learners. In 2025, we expect the global race toward AI literacy will further accelerate.

AI skills like computer vision, PyTorch, and machine panama cell phone number list learning (ML) doubled in enrollments year-over-year
With AI and ML Specialist roles expected to grow by 40% over the next four years, learners are rapidly upskilling and reskilling themselves through courses like IBM’s Deep Neural Networks and PyTorch and the University of Buffalo’s Computer Vision Basics. However, while more women are learning on Coursera overall (up 3% year over year), only 28% of Coursera’s GenAI course enrollments are from women. Encouraging women to pursue AI skills through educational initiatives and workplace policies will be crucial to narrowing the gender gap and ensuring AI benefits everyone.

Data ethics skills are a growing priority for employees.
Data ethics is among the fastest-growing skills on Coursera, driven by the need for employees to responsibly manage and analyze customer data. Despite its importance, there’s a notable gap in interest among students and job seekers. This is a major curricula improvement opportunity for campuses since 60% of data leaders identify data governance as a primary concern. A Deloitte survey found that 78% of organizations prioritize “safe and secure” AI use as a top ethical principle – a 37% increase from last year. As demand for data roles increases, learners who upskill in data ethics and governance will position themselves more competitively for future employment.