The program explores machine learning’s transformative potential in various domains, including data pre-processing, feature engineering, and model selection. It covers deep learning architectures like CNNs and RNNs, their applications in computer vision and natural language processing. Practical sessions involve real-world datasets from healthcare, finance, fraud detection, and smart cities. The program also covers ethical AI use and privacy considerations