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Understand the role of AI in robotics, including perception, decision-making, and autonomous actions.
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Understand how to leverage vector databases in building efficient generative AI solutions.
Explore the core concepts of generative AI, including types, models, and use cases in various domains.
Study techniques and applications in computer vision for processing and interpreting visual data.
Understand unsupervised learning techniques for discovering patterns and insights from unlabeled data.
Explore deep learning techniques and frameworks for building and training neural networks.
Acquire the skills needed to build and deploy machine learning models using Microsoft Azure's tools and services.
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