GenAInstein

This course provides a foundational and advanced exploration of artificial intelligence and deep learning technologies. It covers key concepts from data science, probability, and statistics to machine learning pipelines, neural networks, and deep learning architectures such as CNNs and RNNs. Students gain practical experience in model deployment, MLOps, and professional skills development, including Agile collaboration and ethical AI practices. The curriculum balances theoretical understanding with hands-on programming and a capstone project to solidify learning.