video1.0<iframe src="https://www.loom.com/embed/8738577a7c814905a6536241f64674ba" frameborder="0" width="1108" height="831" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8311108Loomhttps://www.loom.com8311108https://cdn.loom.com/sessions/thumbnails/8738577a7c814905a6536241f64674ba-e6c2fcc9ccda5f5c.gif389.435In this video, I demonstrate how to overcome the challenge of lacking proprietary data for AI practice by creating synthetic data, specifically interview transcripts. I share my detailed prompt for generating realistic interview transcripts, emphasizing natural conversation elements and authenticity guidelines. This process is crucial for my AI analysis course, ensuring I have data to showcase workflows without using client data.