The workshop provided hands on guidance on transforming raw datasets into structured, evaluated models ready for future deployment. With a focus on structured reasoning and data preparation, the session helped students master the core skills necessary for entry into AI and ML roles.The primary objective of the session was to help students understand and implement the end-to-end machine learning pipeline, focusing on structured reasoning, data preparation, and model evaluation. The workshop aimed to bridge the gap between theoretical ML concepts and real-world implementation practices.