Applications open from 1st April 2024

Module Code: CT5186

Micro-credential Overview

This Micro-credential aims to give learners an understanding of current trends in Artificial Intelligence (AI) and the future development of the field, covering both academic research and industrial deployments. The focus of the module will be on the challenges and opportunities that developments in AI present to individuals, organisations, and society. Learners will gain experience of critiquing literature on AI and evaluating the technological readiness of various AI approaches to solve specific real-world problems.

Indicative list of topics:

  • Overview of Topic Issues in AI
  • AI for Recommender Systems
  • AI for Insurance
  • Applications of Reinforcement Learning
  • Reproducibility in AI Research & Development
  • Evaluating the Technological Readiness Levels of AI Systems
  • AI Failures
  • Explainable AI
  • Malicious Uses of AI
  • AI for Social Good
  • AI for Drug Discovery

Start Date

Academic Year 2024/25, Semester TBC

Mode of Study and Assessment 

Pre-recorded lectures will be available online each week via Blackboard. There will also be some optional live online sessions for students to attend. Assessment is 100% by continuous assessment (assignments and a capstone project); there is no formal end-of-module exam. 

NFQ Level and ECTS 

Level 9


Application Process

From the 1st April 2024, you can apply for any University of Galway Micro-credential through our Online Application Portal

When completing your application please make sure to apply under CPC 1 (Postgrad CPD in Software Engineering & Database Technologies) in the drop-down menu after selecting Standalone Module- Continuing Professional Development.

For this micro-credential, please copy and paste or type this into the text box under Module Name: CT5186

For more details, watch our tutorial on the Micro-credentials application process here.

Course Fees


Entry Requirements

  • Applicants must be over 21 years of age.
  • A Level 8 undergraduate, or Level 7 qualification with 3 years experience is required.
  • Applications can be considered using Recognition of Prior Learning.
  • Students should have some prior knowledge of Artificial Intelligence before taking this module, as this will be necessary to engage with the lecture material and complete the assignments.

Contact Information

 If you have any queries please email:

Prospective students are also welcome to contact the module lecturer Dr Patrick Mannion via email: