This workshop is designed to provide participants with a comprehensive, hands-on understanding of how modern data-driven systems are built and deployed. The program begins with an introduction to AI, machine learning, and data engineering concepts using Python and essential tools such as Jupyter Notebook, NumPy, Pandas, and Matplotlib. Participants then progress to data preprocessing and exploratory data analysis, where they learn how to clean, transform, and extract meaningful insights from raw data. Building on this foundation, the workshop introduces applied machine learning techniques, enabling learners to develop and evaluate predictive models. Finally, the session on AI integration with data pipelines focuses on connecting data processing workflows with intelligent models to create scalable, real-world applications. Overall, the workshop emphasizes practical implementation, equipping participants with the skills required to design and build end-to-end intelligent data systems.