The “Python for Analytics and AI” course will cover the following topics: Data analysis, Data visualization, Statistical analysis, statistical significance, statistical power, Machine Learning methods, Machine Learning metrics and evaluation of Machine Learning models, Hyperparameter optimization, Neural Networks and neural network architectures, Attention, transformers, Large Language Models (LLMs), Generative AI, Artificial Intelligence and Machine Learning ethics, bias, fairness, interpretability, security.