Certificate in Utilising Artificial Intelligence and Machine Learning for Asset Management
Course Overview
Transforming Asset Management with AI and Machine Learning
This QQI-accredited certificate is an industry-aligned programme focused on applying artificial intelligence (AI) and machine learning (ML) in modern asset management. Designed in collaboration with industry partners, the programme addresses how data-driven technologies are reshaping asset management strategy, governance, and lifecycle decision-making across sectors such as MedTech, utilities, pharmaceuticals, manufacturing, and other regulated environments.
This programme is delivered in partnership with ESS.
Why Study AI and Machine Learning for Asset Management at Griffith College?
- Industry-designed programme addressing skills gaps in AI-enabled asset management across manufacturing, utilities, pharmaceuticals, MedTech, and service sectors
- Practical application of artificial intelligence (AI) and machine learning (ML) for predictive maintenance, fault detection, asset performance monitoring, and lifecycle optimisation
- Balanced focus on AI governance, policy, risk management, and regulatory compliance
- Curriculum aligned with regulated industry requirements, supporting safety, reliability engineering, and quality assurance
- Blended delivery designed for working professionals
- QQI-accredited qualification (5 ECTS credits) supporting career progression and professional recognition
- Development of high-demand digital asset management and reliability engineering capabilities
Course Highlights
- Application of AI and machine learning across asset management frameworks, from policy and strategy to operational delivery
- Practical experience in predictive maintenance, anomaly detection, and fault pattern recognition
- Asset lifecycle management, including AI-driven optimisation and lifecycle cost modelling
- Understanding of AI governance, risk management, and ethical considerations in regulated and safety-critical environments
- Skills to implement and integrate AI/ML within asset management systems to improve reliability and performance
Intake Dates
- Limerick - Blended - May 2026
Course Details
The Certificate in Utilising Artificial Intelligence and Machine Learning for Asset Management is designed for professionals working across manufacturing, MedTech, utilities, pharmaceuticals, and service industries. Developed through industry collaboration, the programme equips learners with the theoretical knowledge and practical skills to deploy integrated AI and machine learning in asset management systems.
The programme supports career development, upskilling, and workforce mobility by strengthening cross-functional technical capabilities required in modern, asset-intensive environments. Learners develop reliability engineering competencies by using AI and ML tools to analyse asset performance, reduce downtime, and improve maintenance strategies.
Programme Objectives
- Support learners seeking to expand their skills and qualifications for roles in manufacturing and service industries
- Upskill professionals currently employed in the sector by enhancing their technical capability, job performance, and career progression through a recognised qualification
- Enable individuals seeking employment or career advancement to become industry-relevant, job-ready, and competitive
Learning Outcomes
On successful completion of the programme, learners will be able to:
- Explain core asset management principles and the role of AI and machine learning in fault detection, predictive maintenance, and lifecycle optimisation
- Design, implement, and apply AI/ML-driven workflows to real-world asset management scenarios, with awareness of governance and ethical considerations
- Develop a comprehensive, AI-enabled asset management plan
Modules:
- Asset Management & the Role of AI/ML
- Asset Management Principles & Frameworks with Intelligent Extensions
- Asset Management Policy, Strategy & AI Governance
- Lifecycle Asset Management with ML‑Driven Optimisation
- Tools, Implementation & Practical AI/ML Application
- Risk Management & Ethical Considerations in AI Enhanced DAM
- Predictive maintenance using ML algorithms
- Fault pattern recognition and anomaly detection
- AI-driven asset lifecycle cost modelling
- Implementing an Asset Management System with Integrated AI/ML
Timetables
This course is divided into two groups, each with the same online session dates but different onsite dates.
Group 1:
Online: 6th and 13th May. On-site: 16th May and 29th.
Group 2:
Online: 6th and 13th May. On-site: 22nd May and 13th June.
How to Apply
Entry Requirements
Applicants under age 23
Entry requirements are a minimum of grade O6 / H7 in the Leaving Certificate, or equivalent, in 5 subjects. The subjects must include mathematics and English, Irish or another language.
Applicants age 23 and above
Mature learners, i.e., applicants over the age of 23, may also apply based on work experience and / or life experience by demonstrating that they have reached the standards of knowledge, skills, and competence. Applicants’ experiential backgrounds are assessed through the submission and review of their CVs as part of the application process.
Ideally, applicants have prior technical experience, knowledge/or exposure to an industrial environment.
English Language
The English language entry requirements for the programme are CEF B2+ or equivalent. Candidates with English language levels below CEF B2+ must first reach this minimum standard before enrolling on the academic programme.
Fees
Please note that not all study modes may be offered at all times; for confirmation, refer to the Intake dates on the Overview tab.
Tuition Fees
Limerick: €2,200
General Fee Information
An Academic Administration Fee of EUR250.00 and a 2% Learner Protection Charge are applicable each academic year in addition to the fees quoted below. The fees below apply only to Year 1.
Progression
The Certificate in Utilising Artificial Intelligence and Machine Learning for Asset Management comprises 5 ECTS credits. It is primarily intended as a standalone award, progression opportunities are available as follows:
- Higher National Certificate in Manufacturing Engineering, Griffith College
This one-year part-time HNC programme delivers knowledge and skills in a range of specialist areas of manufacturing engineering and is suited to those who would like a career in the manufacturing/biopharma and the medical devices industries or those who want to upskill in this area.
- Bachelor of Engineering in Industrial and Systems Engineering, Griffith College
The QQI-accredited Bachelor of Engineering in Industrial and Systems Engineering, NFQ level 7, is a one-year part-time (post-higher certificate in engineering or cognate discipline) that provides key competencies in the areas of industrial and systems engineering and related subjects.
- Certificate in Industrial Manufacturing and Maintenance Skills, Griffith College, in collaboration with ESS
The QQI-accredited Certificate in Industrial Manufacturing and Maintenance Skills is a one-year part-time programme that provides key knowledge, skills, and competencies in Industrial Manufacturing and Maintenance-related subjects.
- NFQ Level 6 (plus) engineering programmes within third-level colleges in Ireland
This programme may also facilitate learners’ application for progression to third-level programmes in engineering, science, or a cognate discipline.
