AI agents course for professionals in Ireland

Two Irish figures, both correct

The CSO also publishes a comparison table where Ireland shows 19.6% for 2025 against a European Union average of 20%, with Denmark at 42% and Finland at 37.8%. That is not a contradiction of the 20.2%: the comparison uses a different scope, excluding some sectors.

So the two numbers should never be put in the same sentence. Noticing that is the same skill this course teaches about agent outputs: check what was counted before you compare.

What the figures do not say

There is no published Irish figure for agents specifically. The closest categories are natural language generation and automating workflows, and calling either of them "agents" would be inventing a statistic, so we do not.

There is also no breakdown by sector: we checked every CSO table that mentions AI. If someone quotes you an Irish AI adoption rate for your industry, ask where it came from.

Where it is used

Business administrative processes lead at 7.8%, then marketing or sales, ICT services and research and development at 5.4% each, accounting at 4.7%, production at 3.3% and logistics at 1.5%.

What the CSO counts as AI

Systems using technologies such as text mining, machine learning or deep learning "to predict, recommend or make decisions, with varying levels of autonomy", including chatbots and facial recognition.

And individuals

Among internet users who had used generative AI in 2025, half had used it for professional purposes, so plenty of staff are already using these tools with or without a policy.

Start where it is dull

The best first agent handles something repetitive and low risk: triage, lookups, drafting from a template. Nobody thanks you for automating the one process everyone disputes.

Measure before and after

Time taken, error rate, how often a person intervenes. Without a before, an improvement is an opinion.

Plan the handover

Somebody other than you has to run it. Documentation, the test set and the log are what make that possible.

We teach on the platforms professionals actually meet, including Microsoft Copilot Studio, taught one to one because every agent is built around a particular organisation's systems and permissions.

Technical staff who want coding agents work through their own repositories, using their own paid accounts, and review every change those agents propose.

What we do not do is tell you an agent belongs in a process it does not. Part of the course is deciding not to build one, which is a perfectly good outcome for a meeting to reach.

The models underneath are covered on learn to train AI, and students in third level have their own page at AI agents for students.