
Learn how to design effective AI/ML models by selecting the right algorithms, preparing quality datasets, choosing suitable architectures (like CNNs, RNNs, transformers), and tuning model parameters. Understand key concepts like model selection, training, validation, and optimization to build accurate and robust AI/ML solutions.