Courses
Using Generative Artificial Intelligence
Certificate
Course Details
| Course Code | LL_IUGAI_S |
|---|---|
| Level | 7 |
| Duration | 3 semesters |
| Credits | 30 |
| Method of Delivery | Online |
| Campus Locations | Donegal – Letterkenny |
| Mode of Delivery | Part Time |
Course Overview
This programme is designed to equip professionals, especially from non-technical backgrounds, with the expertise to harness generative AI in various sectors.
It responds to the increasing demand for proficiency in emerging technologies and enables businesses to refine customer interactions, sales and broader engagement via AI tools. It will also introduce ethical implications and considerations of using AI.
Course Details
Year 1
| Semester | Module Details | Credits | Mandatory / Elective |
|---|---|---|---|
| 1 |
Understanding Generative AI: Concepts and ApplicationsThis module provides a foundational understanding of generative artificial intelligence (AI), exploring its core concepts, underlying principles, and historical evolution. It is designed to equip students with comprehensive knowledge about the workings of generative AI tools and their applications across various industries. The module lays the groundwork for understanding more advanced aspects of generative AI in subsequent modules. Learning Outcomes 1. Analyse and explain the fundamental concepts, principles, and historical development of generative AI, demonstrating a clear understanding of its theoretical foundations. |
10 | Mandatory |
| 2 |
Interacting with Generative ToolsThis module is designed to offer hands-on experience with various generative AI tools, enabling students to interact with and utilize these technologies effectively. The focus is on practical application, understanding tool functionalities, and developing content using generative AI. This module builds upon the foundational knowledge gained in the previous module and applies it in practical settings. Learning Outcomes 1. Operate and evaluate a range of generative AI tools, demonstrating proficiency in selecting and using appropriate platforms for individual content creation. |
10 | Mandatory |
| 3 |
Ethics, Implications and Future of Generative AIThis module explores the legal and ethical considerations, societal implications, and future potential of generative AI technologies. It aims to provide students with a comprehensive understanding of the broader impacts of generative AI, beyond its technical capabilities. The module emphasizes critical thinking about the responsibilities and consequences of deploying generative AI in various sectors. Learning Outcomes 1. Critically evaluate key ethical theories, principles, and frameworks relevant to the development, deployment, and use of generative AI. |
10 | Mandatory |
Recommended Study Hours per week
Download a prospectus
Entry Requirements
Applications are welcome from candidates who have successfully completed cognate programmes or have acquired experiential learning (under RPL) equivalent to 120 ECTS Level-6 credits.
Candidates who wish to apply to this programme should apply directly to the university, providing documentation relating to results and programme content. These are assessed, and if appropriate and places are available, applicants will be offered a place on the course.
English Language Requirements
Non-EU applicants who are not English speakers must have a minimum score of 5.5 (with a minimum of 5.5 in each component) in the International English Language Testing System (IELTS) or equivalent. All results must have been achieved within 2 years of application to ATU.
EU applicants who are not English speakers are recommended to have a minimum score of 5.5 (with a minimum of 5.5 in each component) in the International English Language Testing System (IELTS) or equivalent.
Recognition of Prior Learning
In accordance with its policies ATU is committed to the principles of transparency, equity and fairness in recognition of prior learning (RPL) and to the principle of valuing all learning regardless of the mode or place of its acquisition. Recognition of Prior Learning may be used to:
i. gain access to a programme subject to available places.
ii. gain credits and exemptions from programme modules after admission.
Further Information
Who Should Apply?
This course benefits professionals, graduates, and career‑changers who want to apply AI tools strategically, ethically, and productively. It is ideal for marketers, educators, project managers, entrepreneurs, and public‑sector staff seeking to enhance workflows, create content, analyse data, and support decision‑making with AI. Overall, it is suited to anyone preparing for a digitally transformed workplace and aiming to become AI‑literate, moving beyond casual tool use to an accredited, structured understanding of how to deploy generative AI effectively across roles and organisations.
Contact Information
Department of Computing
E: computing.donegal@atu.ie
Computing