Artificial Intelligence deployed at the Edge of the Cloud makes it possible to respond to the new technological challenges facing the majority of companies today. However, it is crucial that Machine Learning algorithms are optimized to meet the real-time constraints of the majority of use cases. This challenge is even more critical when it comes to deploying Deep Learning models to IoT devices. This session offers a set of methods and techniques to adapt your AI model for Edge Computing.