Year

2024

Credit points

10

Campus offering

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  • Term Mode
  • Semester 2Multi-mode

Prerequisites

ITEC613 Machine Learning with Scikit-Learn

Teaching organisation

150 hours over a twelve-week semester or equivalent study period

Unit rationale, description and aim

Artificial intelligence (AI) is the intelligence demonstrated by machines, devices, agents or computer programs, in addition to the natural intelligence displayed by humans and animals. Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. It is the de-facto method for a wide range of emerging AI tasks from computer vision, natural language processing, anomaly detection, to reinforcement learning.  

This unit will cover essential aspects of deep learning and emerging topics in AI, both theoretically and practically. This includes understanding, designing and implementing of elements of deep learning models and algorithms as well as emerging AI topics with Python Keras. This unit features integrating Microsoft Azure AI Fundamentals to understand standards and design principals of AI solutions in technology industry giant.   The aim of the unit is to learn and apply essential concepts and techniques of deep learning and AI to design and build AI-enabled applications that makes people life better.

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