Artificial Intelligence and Machine Learning - Module CE6002 Programme content
Key information
During this module, you will
Build hands-on machine learning skills in supervised learning using Python, with exposure to industry-relevant toolboxes for real-world classification problems
Understand and manage key challenges in machine learning such as overfitting, bias, and model complexity improve model performance and reliability.
Apply and evaluate key machine learning techniques, including logistic regression, neural networks, and SVMs, to make data-driven decisions.
Boost your career in AI or data science or use this module as a stepping stone toward a master’s degree in artificial intelligence or machine learning.
Key Information
This micro-credential will be delivered online over 7 weeks.
You will be assessed using continuous assessment methods, including practical assignments and online quizzes.
Part-time considerations
Designed for working professionals
Evening or recorded lectures
Additional prep and group work time
Timetable provided after registration
