Machine unlearning – the process of removing specific data from trained models – is becoming critical to comply with regulations like GDPR and the EU AI Act, and to reduce harmful biases or errors caused by flawed data. While research has advanced, deploying unlearning techniques in production remains highly challenging. This session explores practical approaches, common pitfalls, and hands-on solutions using the Vision-Unlearning Python library.