Data Science for AI and Robotics - Course Outline

Detailed Course Outline for Data Science and Robotics course. The course spans 16 weeks and covers a wide range of topics, including the evolution of data science across AI paradigms, AI data taxonomy, data preprocessing for machine learning, deep learning, and generative AI, feature engineering, word embeddings, evaluating and optimizing ML models, advanced neural network data handling, enterprise data pipelines for AI, cloud platforms for AI implementation, data science for agentic AI, synthetic data and data augmentation, and ethical and responsible AI data practices. The course includes lectures, labs, and a final exam or project

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