Coursera has unveiled Skill Tracks, a new data-backed learning solution designed to bridge skill gaps in the workforce by providing structured, occupation-mapped learning paths. The tracks cover Software and Product, IT, Data, and Generative AI (GenAI), offering verifiable credentials that align with real-world job requirements.
The World Economic Forum’s Future of Jobs Report 2025 highlights that 60% of Singaporean employers identify skill gaps as a major barrier to business transformation.
Skill Tracks are tailored to meet the specific needs of organisations, allowing learning leaders to integrate their own content to align with business priorities. The solution is powered by Coursera’s Career Graph, which uses extensive labour market data to map the relationship between jobs, skills, and learning content. This ensures that employees can quickly acquire the skills necessary for their roles, thereby enhancing business performance.
Coursera CEO Greg Hart emphasised the importance of adaptive learning solutions, stating, “Companies are deploying new technology faster than their people can keep pace, and they need learning solutions that are adaptive and personalised.”
Coursera plans to expand Skill Tracks with additional features, including skill diagnostics and performance-based evaluations, to further enhance job-ready expertise. Existing Coursera customers can access Skill Tracks as part of the full catalogue, whilst new customers have the option to purchase them individually.