Postgraduate Certificate in Large Language Models
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Course Overview
The Postgraduate Certificate in Large Language Models is a 10-credit, level 9 conversion programme devised to provide up-skilling/re-skilling opportunities for numerate graduates. The programme is aimed at IT professionals with competent programming skills wishing to develop their skills in AI and Large Language models.
What makes this course different
Skills shortages in the area of data analytics has been highlighted by the Department of Enterprise, Trade and Employment, with "statisticians specialising in big data analytics with skills in IT, data mining, modelling, and advanced maths or related and relevant specialist skills" listed as a critical skill.
This course is ideal for numerate, technically capable graduates looking to enhance their skills and improve their employability in the field of Data Analytics.
Understanding the Industry
Large Language Models (LLMs) are truly disruptive technologies, poised to transform virtually every sector. For IT professionals, understanding these advancements is essential to staying relevant and competitive in a rapidly evolving landscape.
Career Opportunities
The demand for IT professionals with AI expertise is growing rapidly, as these technologies are set to reshape many existing roles. DKIT is committed to equipping participants with an accredited qualification that employers can trust as a credible and objective measure of knowledge in this fast-evolving field.
In PluralSite’s 2025 Skills Report, they find: “50% of companies give strong preference to job candidates with AI skills”.
Course Delivery and Modules
The course will be delivered online over the course of two semesters, from September to May.
Two evening lectures will be delivered each week during each semester.
Modules will be delivered in Python. Good Python programming skills will be required to access material and achieve the Learning Outcomes.
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- Module 1: Introduction to Large Language Models
- Module 2: Retrieval-Augmented Generation (RAG) & Information Retrieval
Fees and Funding
EU Fees: TBC
International Fee: TBC
Fees
Entry requirements
This standard minimum entry requirements is a 2.2 Honours Degree (NFQ Level 8) or equivalent in STEM (Science, Technology, Engineering, and Mathematics), who have substantial technical competencies and strong programming skills. A good grounding in Maths will be required to access material related to Machine Learning.
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