Explainability of AI models has become an important tool to deploy effectively many AI solutions, and to increase trust from the stakeholders of these solutions. In this workshop, we will introduce the most popular methods for explaining AI predictions, with a few examples of real use cases. Moreover, we will have a hands-on session with an exercise to try these techniques on a sandbox dataset.