Deploying AI and machine learning systems faces several challenges. One major hurdle is data quality and availability, as models require large, clean datasets for accurate predictions. Scalability issues arise when systems must handle increasing amounts of data or complex computations. Additionally, ensuring model interpretability and addressing ethical concerns like bias are significant obstacles.

Infrastructure costs and integration with existing systems add to the complexity. Security and privacy concerns, especially in sensitive applications, also demand careful consideration. Overcoming these challenges requires skilled professionals with a deep understanding of the field. Enrolling in an AI and Machine Learning course can equip learners to tackle these challenges effectively.

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