The focus of this session is to demystify the hype behind the term 'Explainable AI' and talk about tangible concepts which can be leveraged using state-of-the-art tools and techniques to build human-interpretable models. We will be giving a conceptual overview of what Explainable AI or XAI entails followed by major strategies around XAI techniques. Once the audience gets some foundational knowledge around XAI, we will showcase some case-studies using hands-on examples in Python to build machine learning and deep learning models and leverage model interpretation and explanation strategies for both structured and unstructured data