Implementation of Advanced AI

IDC8208

This module aims to develop competencies to apply AI models to different problem domains. Taught by experts in a range of AI model types, the emphasis is on building skills to create deployable solutions for diverse domains. The module spans AI domains such as machine hearing, computer vision, natural language processing, text analysis, automatic speech recognition, large language models, medical image reconstruction, energy efficiency and software validation, employing periodically refreshed, state of the AI models, presented by experienced AI practitioners.

Practical Deep Learning

IDC8209

This module is an elementary introduction to deep learning techniques with an emphasis on its applications to a variety of domains, including image classification, speech recognition, and natural language processing. Along the way the course provides an intuitive introduction to basic notions such as supervised vs unsupervised learning, classification, detection, segmentation and regression, optimization (especially variants of gradient descent), generalization theory and overfitting, regularisers, and probabilistic modeling.