Overview
This micro-qualification will demystify Generative AI (GenAI) and empower participants to confidently begin integrating tools and technologies into their professional environments. The programme seeks to bridge the gap between the theoretical knowledge of AI and its practical application, enabling participants to critically consider how to harness the potential of GenAI.
This is a Skills to Advance funded training, scheduled with the AMTCE.

Course Content
Fundamentals of Generative AI in Business: Understanding the core concepts and applications
Using GenAI Tools Ethically: Navigating responsible and ethical GenAI use in the workplace
Prompt Crafting: Mastering the Art of Effective GenAI Communication
Evaluating GenAI Solutions: Integrating and assessing GenAI for business impact
Learning Outcomes
On completion of this programme the learner should be able to
- Explain the core principles of GenAI and its place within the broader context of Artificial Intelligence.
- Demonstrate the ethical and legal use of GenAI tools to produce a range of content modes in a professional context.
- Use prompt crafting skills to optimise the outputs of GenAI tools.
- Evaluate suitable GenAI solutions in the context of their professional roles reflecting on their use, impact, limitations, and ethical implications in various business contexts.
Key Benefits
Focused, practical upskilling designed to support immediate employability and progression.
- Short intensive format
- Fully funded
- Practical, workplace-focused AI training
- Explore AI workflow automation
- Delivered by industry experts/SMEs
- Ideal as an upskill option
Funding Eligibility
To receive ETB funding applicants must be:
- Currently employed/self-employed
- An EU citizen or possess a Stamp 4 visa
- Minimum of an NFQ Level 4 Major Award or relevant previous work experience
- Proficiency in English Language required (B2+ level or equivalent on the Common European Framework of Reference for Languages (CEFR)
- Not currently enrolled on any other funded course

















